Medication management system

Information

  • Patent Grant
  • 10434246
  • Patent Number
    10,434,246
  • Date Filed
    Monday, August 31, 2015
    9 years ago
  • Date Issued
    Tuesday, October 8, 2019
    5 years ago
Abstract
A medication management system (MMS) includes a medication management unit (MMU) associated with a medical device. The MMU downloads a medication order to the medical device only if information from a first input matches information from a second input. The medical device receives delivery information only from the MMU. The medication order is performed only after delivery data validation. The MMU also determines drug-drug incompatibility. The MMU can modulate (start, stop, and dynamically adjust) medication order performance. The medical device wirelessly receives a patient ID to automatically associate with the patient. During delivery, the medical device caches an updated drug library to replace an existing one. The medical device displays a patient picture for validation. The MMU evaluates the performance of medical devices and caregivers based medical device feedback. The MMU adjusts the output of medical device information conveyed to a caregiver.
Description
BACKGROUND OF THE INVENTION

The present invention relates to the field of delivering medication to patients, more particularly to an integrated system for maximizing patient safety and caregiver productivity for medication delivery.


Modern medical care often involves the use of medical pump devices to deliver fluids and/or fluid medicine to patients. Medical pumps permit the controlled delivery of fluids to a patient, and such pumps have largely replaced gravity flow systems, primarily due to the pump's much greater accuracy in delivery rates and dosages, and due to the possibility for flexible yet controlled delivery schedules. However, modern medical devices, including medical pumps, can be complicated and time-consuming for caregivers to program. Medical facilities struggle to provide appropriate caregiver staffing levels and training while holding down the cost of medical care. Human errors in pump programming and other medication errors can have adverse or even deadly consequences for the patient.


Therefore, a principal object of this invention is to provide an integrated medication management system that reduces the risks of medication error and improves patient safety.


A further object of the invention is to provide a medication management system that improves caregiver productivity.


Another object of the invention is to provide a medication management system that improves the accuracy of the medication delivery process by eliminating labor-intensive tasks that can lead to human errors.


A still further object of the invention is to provide a medication management system that relies on an electronically-transmitted medication order and machine readable indicia on the drug container, patient, and medication delivery device to insure the “five rights” of medication management, i.e., that the right medication is delivered to the right patient through the right route in the right dosage at the right time.


Another object of the invention is to provide the caregiver with a pass code or machine-readable indicia to insure that only an authorized individual caregiver can initiate a medication order and that an authorized caregiver must confirm the medication order prior to its administration to the patient.


A still further object of the invention is to provide a medication management system wherein the medical device receives delivery information electronically only through a medication management unit.


Another object of the invention is to provide medication management system wherein the medical device is preprogrammed and executes the medication order only after a user has validated delivery data.


A still further object of the invention is to provide a medication management system wherein the physical location of a medical device can be determined and pinpointed based on the last access node used by the medical device.


Another object of the invention is to provide a medication management system for adjusting a patient-specific rule set based on new patient conditions and/or recent lab results.


A still further object of the invention is to provide a medication management system for determining drug-drug incompatibility between two medication orders for concurrent delivery (to the same patient at the same time) and/or in an unacceptably close time sequence.


Another object of the invention is to provide a medication management system for remotely sending an order or information to the medical device to modulate a planned or ongoing medication order and delivery thereof to the patient.


A still further object of the invention is to provide a medication management system for automatically associating a medical device with a patient based on wireless transmission of a patient ID to the medical device, thereby establishing a patient area network.


Another object of the invention is to provide a medication management system for caching an updated drug library at the medical device to replace an existing drug library, during execution of a medication order.


A still further object of the invention is to provide a medication management system for displaying a picture of the patient on a device within the system, such as at the medical device, for a caregiver to perform a visual validation of the right patient.


Another object of the invention is to provide a medication management system for evaluating the performance of multiple medical devices based on information from the multiple medical devices.


A still further object of the invention is to provide a medication management system for evaluating the performance of one or more caregivers based on information from multiple medical devices.


Another object of the invention is to provide a medication management system for adjusting medical device output conveyed to a caregiver based on multiple factors.


These and other objects will be apparent to those skilled in the art.


SUMMARY OF THE INVENTION

A medication management system includes a medication management unit (MMU) associated with a medical device for performing a prescribed medication order. The MMU compares medication order information from a first input means to machine readable delivery information from a second input means and downloads a medication order to the medical device only if the information from the first input means matches the information from the second input means. The medical device receives medication order information electronically only through the medication management unit (i.e., does not receive delivery information directly from the second input means). The MMU permits the medical device to perform the order only after a user has validated delivery data at the medical device.


The MMU determines the general physical location of a medical device based on the last access node used by the wireless connectivity capability in the medical device and an audible alarm can be activated to allow a user to pinpoint the physical location of the medical device more precisely.


Using expert clinical support decision rules, the MMU also determines drug-drug incompatibility between two medication orders for concurrent delivery (to the same patient at the same time) and/or in an unacceptably close time sequence through the same output IV line. Further, the MMU also adjusts patient-specific rule sets based on newly measured or observed patient conditions and/or recent lab results. Advantageously, warnings, alarms or alerts based on violations of these rules are provided as close as possible to the actual delivery time so that they are more meaningful, ripe for corrective action, and less likely to be ignored due to incomplete information.


Based on laboratory data or other newly received patient information, the MMU can modulate the medication order planned or currently being delivered. The MMU sends an order from the MMU to the medical device to modulate performance of the medication order. The patient and the medical device automatically associate with each other to form a patient area network based on wireless transmission of ID information. During execution of a medication order, the medical device caches an updated drug library in a cache memory and, upon occurrence of a triggering event, replaces an existing drug library in the primary memory of the device with the updated library. A picture of the patient is displayed at a device within the system, such as the medical device, for a caregiver to perform a visual validation of the right patient. The MMU evaluates the performance of multiple medical devices and one or more caregivers based on information communicated from the medical devices. The MMU adjusts medical device output conveyed to a caregiver based on multiple factors.





DESCRIPTION OF THE DRAWINGS


FIG. 1 is a schematic diagram of the medication management system including a medication management unit and a medical device, integrated with an information system, according to the present invention;



FIG. 2 is a schematic diagram of the medication management unit according to the invention;



FIG. 3 is a schematic diagram illustrating some of the major functions performed by the medication management unit according to the invention;



FIG. 4 is a pictorial schematic diagram of the medication management system and its interaction with medical devices and an information system in a hospital environment;



FIG. 4A is a schematic diagram of the medical device according to the invention;



FIG. 5 is a partial flow chart of the medication management system processing a drug order through the medication management unit and medical device, and integrated with an information system according to the invention;



FIG. 5A is a continuation of the flow chart of FIG. 5;



FIG. 6, is an alternative flow chart of the medication management system processing a drug order through the medication management unit and medical device, and integrated with an information system according to the invention;



FIG. 6A is a continuation of the flow chart of FIG. 6;



FIG. 7 is a screen shot of a delivery information input device for entry of a caregiver specific pass code;



FIG. 8 is a screen shot of a delivery information input device for pulling up a scan patient option;



FIG. 9 is a screen shot of a delivery information input device for entry of patient-specific information;



FIG. 10 is a screen shot of a delivery information input device displaying a task list;



FIG. 11 is a screen shot of a delivery information input device displaying a medication order prescribed for a patient;



FIG. 12 is a front view of a medical device displaying a start up screen;



FIG. 13 is a front view of a medical device with a display and user interface means for selecting a clinical care area of a medical facility;



FIG. 14 is a front view of a medical device with a display and user interface means for selecting a desired input channel of the medical device;



FIG. 15 is a front view of a medical device with a display and user interface means for confirming correct delivery programming code data at the medical device;



FIG. 16 is a screen shot of a delivery information input device for confirming correct delivery programming code data;



FIG. 17 is a schematic diagram of the medication management system including a medication management unit and one or more medical devices, showing the medication management unit communicates with a medical device to locate the device;



FIG. 18 is a flow chart of the medication management system locating a medical device;



FIG. 19 is a flow chart of the medical device retrieving/receiving an updated drug library from the medication management unit;



FIG. 20 is a flow chart of the medication management system updating a delivery program code executed on the medical device based on new information from a lab system, HIS and/or monitoring device;



FIG. 21 is an alternative pictorial schematic diagram of the medication management system and its interaction with medical devices and the information system; and



FIG. 22 is a flow chart of the medication management system generating an operation evaluation report of a caregiver or medical device.





DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT

With reference to FIG. 1, the medication management system (MMS) 10 of the present invention includes a medication management unit (MMU) 12 and a medical device 14, typically operating in conjunction with one or more information systems or components of a hospital environment 16. The term hospital environment should be construed broadly herein to mean any medical care facility, including but not limited to a hospital, treatment center, clinic, doctor's office, day surgery center, hospice, nursing home, and any of the above associated with a home care environment. As discussed below, there can be a variety of information systems in a hospital environment. As shown in FIG. 1, the MMU 12 communicates to a hospital information system (HIS) 18 via a caching mechanism 20 that is part of the hospital environment 16.


It will be understood by those of skill in art that the caching mechanism 20 is primarily a pass through device for facilitating communication with the HIS 18 and its functions can be eliminated or incorporated into the MMU 12 and/or the medical device 14 and/or the HIS 18 and/or other information systems or components within the hospital environment 16. The Caching Mechanism 20 provides temporary storage of hospital information data separate from the HIS 18, the medication administration record system (MAR) 22, pharmacy information system (PhIS) 24, physician order entry (POE) 26, and/or Lab System 28. The Caching Mechanism 20 provides information storage accessible to the Medication Management System 10 to support scenarios where direct access to data within the hospital environment 16 is not available or not desired. For example, the caching mechanism 20 provides continued flow of information in and out of the MMU 12 in instances where the HIS 18 down or the connectivity between the MMU 12 and the electronic network (not shown) is down. The caching mechanism 20 also provides improved response time to queries from the MMU 12 to the HIS 18, as direct queries to the HIS 18 are not consistently processed at the same speed and often require a longer period of time for the HIS 18 to process.


The HIS 18 communicates with a medication administration record system (MAR) 22 for maintaining medication records and a pharmacy information system (PhIS) 24 for delivering drug orders to the HIS. A physician/provider order entry (POE) device 26 permits a healthcare provider to deliver a medication order prescribed for a patient to the hospital information system directly or indirectly via the PhIS 24. One skilled in the art will also appreciate that a medication order can be sent to the MMU 12 directly from the PhIS 24 or POE device 26. As used herein the term medication order is defined as an order to administer something that has a physiological impact on a person or animal, including but not limited to liquid or gaseous fluids, drugs or medicines, liquid nutritional products and combinations thereof.


Lab system 28 and monitoring device 30 also communicate with the MMU 12 to deliver updated patient-specific information to the MMU 12. For example, the lab system 28 sends lab results of blood work on a specific patient to the MMU 12, while the monitoring device 30 sends current and/or logged monitoring information such as heart rate to the MMU 12. As shown, the MMU 12 communicates directly to the lab system 28 and monitoring device 30. However, it will be understood to those of skill in art that the MMU 12 can communicate to the lab system 28 and monitoring device 30 indirectly via the HIS 18, the caching mechanism 20, the medical device 14 or some other intermediary device or system. This real-time or near delivery time patient-specific information is useful in adapting patient therapy because it may not have been available at the time the medication order was prescribed. As used herein, the term real-time denotes a response time with a latency of less than 3 seconds. The real-time digital communications between the MMU 12 and other interconnected devices and networks prevents errors in patient care before administration of medications to the patient, especially in the critical seconds just prior to the start of medication delivery.


Delivery information input device 32 also communicates with the MMU 12 to assist in processing drug orders for delivery through the MMU 12. The delivery information input device 32 can be any sort of data input means, including those adapted to read machine readable indicia such as barcode labels; for example a personal digital assistant (PDA) with a barcode scanner. Hereinafter the delivery information input device 32 will be referred to as input device 32. Alternatively, the machine readable indicia may be in other known forms, such as radio frequency identification (RFID) tag, two-dimensional bar code, ID matrix, transmitted radio ID code, human biometric data such as fingerprints, etc. and the input device 32 adapted to “read” or recognize such indicia. The input device 32 is shown as a separate device from the medical device 14; alternatively, the input device 32 communicates directly with the medical device 14 or may be integrated wholly or in part with the medical device.


With reference to FIG. 2, the medication management unit 12 includes a network interface 34 for connecting the MMU 12 to multiple components of a hospital environment 16, the medical device 14, and any other desired device or network. A processing unit 36 is included in MMU 12 and performs various operations described in greater detail below. A display/input device 38 communicates with the processing unit 36 and allows the user to receive output from processing unit 36 and/or input information into the processing unit 36. Those of ordinary skill in the art will appreciate that display/input device 38 may be provided as a separate display device and a separate input device.


An electronic storage medium 40 communicates with the processing unit 36 and stores programming code and data necessary for the processing unit 36 to perform the functions of the MMU 12. More specifically, the storage medium 40 stores multiple programs formed in accordance with the present invention for various functions of the MMU 12 including but not limited to the following programs: Maintain Drug Library 42; Download Drug Library 44; Process Drug Order 46; Maintain Expert Clinical Rules 48; Apply Expert Clinical Rules 50; Monitor Pumps 52; Monitor Lines 54; Generate Reports 56; View Data 58; Configure the MMS 60; and Monitor the MMS 62. The Maintain Drug Library 42 program creates, updates, and deletes drug entries and establishes a current active drug library. The Download Drug Library 44 program updates medical devices 14 with the current drug library. The Process Drug Order 46 program processes the medication order for a patient, verifying that the point of care (POC) medication and delivery parameters match those ordered. The Maintain Expert Clinical Rules 48 program creates, updates, and deletes the rules that describe the hospital's therapy and protocol regimens. The Apply Expert Clinical Rules 50 program performs logic processing to ensure safety and considers other infusions or medication orders, patient demographics, and current patient conditions that include blood chemistry values such as insulin/glucose, monitored data such as pulse and respiration, and clinician assessments such as pain or responsiveness. The Monitor Pumps 52 program acquires ongoing updates of status, events, and alarms transmitted both real-time and in batch mode, as well as tracking the location, current assignment, and software versions such as the drug library version residing on medical device 14. The Monitor Lines 54 program acquires ongoing updates of status, events and alarms for each channel or line for a medical device 14 that supports multiple drug delivery channels or lines. The Generate Reports 56 program provides a mechanism that allows the user to generate various reports of the data held in the MMU storage medium 40. The View Data 58 program provides a mechanism that supports various display or view capabilities for users of the MMU 12. The Notifications 59 program provides a mechanism for scheduling and delivery of events to external systems and users. The Configure the MMS 60 program provides a mechanism for system administrators to install and configure the MMS 10. The Monitor the MMS 62 program enables information technology operations staff capabilities to see the current status of MMS 10 components and processing, and other aspects of day-to-day operations such as system start up, shut down, backup and restore.


With reference to FIG. 3, the various functional programs 42-62 of the MMU 12, each including separate features and rules, are partitioned (at a higher level than shown in FIG. 2) and logically organized into interrelated managing units of the MMU 12. As shown, the MMU 12 includes an asset manager 64, an alarm manager 66, a drug library manager (such as, for example, ABBOTT MEDNET™) 68, a caregiver manager 70, a therapy manager 72, and/or a clinical data manager 73. However, one of ordinary skill in the art will appreciate that additional or alternative hospital system managing units can be provided without departing from the present invention. Additionally, the MMU 12 includes a master adjudicator 74 between the separate interrelated hospital system managing units 64-73 of the MMU 12, to regulate the interaction between the separate management units.


Further, while the MMU 12 as described herein appears as a single device, there may be more than one MMU 12 operating harmoniously and sharing the same database. For example the MMU 12 can consist of a collection of MMU specific applications running on distinct servers in order to avoid a single point of failure, address availability requirements, and handle a high volume of requests. In this example, each individual server portion of the MMU 12 operates in conjunction with other server portions of the MMU 12 to redirect service requests to another server portion of the MMU 12. Additionally, the master adjudicator 74 assigns redirected service requests to another server portion of the MMU 12, prioritizing each request and also ensuring that each request is processed.


With reference to FIGS. 2 and 3, the managing units 64-72 each include separate features and rules to govern their operation. For example the asset manager 64 governs the execution of the Monitor Pumps 52 and Monitor Lines 54 programs; the drug library manager 68 governs the execution of the Drug Library 42 and Download Drug Library 44 programs; the therapy manager 72 governs the execution of the Process Drug Order 46, Maintain Expert Clinical Rules 48, and Apply Expert Clinical Rules 50 programs; and the clinical data manager 73 governs the execution of the Generate Reports 56 and View Data 58 programs. Other distribution of the functional MMU programs 42-62 among the hospital system managing units 64-73 can be made in accordance with the present invention.


With reference to FIG. 4, an electronic network 76 connects the MMU 12, medical device 14, HIS 18, and input device 32 for electronic communication. The electronic network 76 can be a completely wireless network, a completely hard wired network, or some combination thereof. The medical device 14 and input device 32 are located in a treatment location 77. As shown, the medical device 14 and input device 32 are equipped with antennas 78 and 80, respectively. The antennae 78 and 80 provide for wireless communication to the electronic network 76 via an antenna 82 of access node 84 connected to the electronic network 76. Further details on the antenna 78 can be found in commonly assigned co-pending application entitled SYSTEM FOR MAINTAINING DRUG INFORMATION AND COMMUNICATING WITH MEDICATION DELIVERY DEVICES filed on Feb. 20, 2004, which is expressly incorporated herein in its entirety.


In the context of the present invention, the term “medical device” includes without limitation a device that acts upon a cassette, reservoir, vial, syringe, or tubing to convey medication or fluid to or from a patient (for example, an enteral pump, infusion pump, a patient controlled analgesia (PCA) or pain management medication pump, or a suction pump), a monitor for monitoring patient vital signs or other parameters, or a diagnostic device.


For the purpose of exemplary illustration only, the medical device 14 of FIG. 4 is disclosed as a cassette type infusion pump. The pump style medical device 14 includes a user interface means 86, display 88, first channel 90, and first channel machine readable indicator 92. A first IV line 98 has a conventional cassette 99A (not shown) that is inserted into the first channel 90, and includes a medication bag 100 with a machine readable indicator 102. A second IV line 101 is connected to an input port of the cassette 99A, and includes a medication bag 106 with a machine readable indicator 108. A single output IV line 98 is connected to an outlet port of the cassette 99A and connected to a patient 110 who has a machine readable indicator 112 on a wristband, ankle band, badge or similar article that includes patient-specific and or identifying information, including but not limited to patient ID, and demographics.


In an alternative embodiment illustrated by dashed lines in FIG. 4, the medical device 14 is a multi-channel pump having a first channel 90 with first channel machine readable indicator 92 and at least a second channel 94 with a second channel machine readable indicator 96. The line 101 from the medication bag 106 is eliminated and replaced by line 104 with a cassette 99B (not shown) inserted into the second channel 94 and an output line 104 extends from the cassette to the patient. The same type of cassette 99 (not shown) is inserted in the first channel 90. Additional details on such a multi-channel pump and cassette 99A can be found in commonly owned U.S. patent application Ser. No. 10/696,830 entitled MEDICAL DEVICE SYSTEM, which is incorporated by reference herein in its entirety.


Within a patient area network 113 (hereinafter, PAN 113), a caregiver 114 (if present) has a machine readable indicator 116 on a wristband, badge, or similar article and operates the input device 32. The input device 32 includes an input means 118 for reading the machine readable indicators 92, 96, 102, 108, 112, and 116. An input/output device 120 is included on the input device 32. The input/output device 120 allows the user to receive output from the input device 32 and/or input into the input device 32. Those of ordinary skill in the art will appreciate that display/input device 120 may be provided as a separate display device and a separate input device.


With reference to FIG. 4A, the pump style medical device 14 includes a network interface 122 for connecting the medical device 14 to the electronic network 76. The network interface 122 operates the antenna 78 for wireless connection to the electronic network 76. A processor 124 is included in the medical device 14 and performs various operations described in greater detail below. The input/output device 87 (display 88 and user interface means 86) allows the user to receive output from the medical device 14 and/or input information into the medical device 14. Those of ordinary skill in the art will appreciate that input/output device 87 may be provided as a separate display device and a separate input device (as shown in FIG. 4, display 88 and user interface means 86) or combined into a touch screen for both input and output. A memory 126 communicates with the processor 124 and stores code and data necessary for the processor 124 to perform the functions of the medical device 14. More specifically, the memory 126 stores multiple programs formed in accordance with the present invention for various functions of the medical device 14 as is relates to the MMU 12 including the following programs: Process Drug Order 128, Monitor Pump 130, and Download Drug Library 132.


With reference to FIGS. 5 and 5A, the functional steps of the Process Drug Order 46 and Apply Expert Clinical Rules 50 programs of the MMU 12 and the Process Drug Order 128 program of the medical device 14 are shown in operation with the HIS 18, the caching mechanism 20 and the input device 32.


With reference to FIGS. 4, 5 and 7, to begin to process a drug order, the input device 32 displays a default screen (not shown) on input/output device 120 which the caregiver uses to access password screen 133B (FIG. 7). The password screen 133B prompts the caregiver 114 to enter caregiver specific identification information (caregiver ID). The caregiver 114 enters caregiver ID such as a username and/or password or pass code, or the machine readable indicator 116. The input device 32 enters this caregiver ID at step 134.


With reference to FIGS. 4, 5 and 8-9, the input device 32 then displays a scan patient screen 135A (FIG. 8) which prompts the caregiver 114 to enter patient-specific identification information (patient ID). The caregiver 114 enters the patient ID such as the machine readable indicator 112. The input device 32 enters this patient ID and at step 136, and displays a confirmed scan patient screen 135B (FIG. 9) indicating that the patient ID was successfully entered into the input device 32.


With reference to FIG. 5, the input device 32 then transmits the patient ID to the caching mechanism 20 at step 138. The caching mechanism 20 transmits the patient ID to the HIS 18 at step 140. The HIS 18 retrieves a patient-specific task list and patient-specific order information based on the patient ID and transmits both to the caching mechanism 20 at step 142. The order information includes but is not limited to an order detail for a medication order, patient demographic information, and other hospital information systems data such as lab results data. The caching mechanism 20 transmits the task list to the input device 32 at step 143.


With reference to FIGS. 4, 5 and 10-11, the input device 32 then displays a task list screen 143A (FIG. 10) which prompts the caregiver 114 to accesses the task list on the input device 32. The input device 32 prompts the caregiver 114 to enter drug specific identification information (dispense ID). The caregiver 114 enters a dispense ID such as the drug container specific machine readable indicator 102. The input device 32 enters this dispense ID at step 144. The input device 32 processes the dispense ID to select the correct task from the task list, then displays a task screen 143B (FIG. 11), and transmits a dispense ID to the caching mechanism 20 requesting an order ID at step 146. The caching mechanism 20 transmits a dispense ID to the HIS 18 requesting an order ID at step 148. The HIS 18 transmits an order ID to the caching mechanism 20 at step 150. The caching mechanism 20 forwards this order ID to the input device 32 at step 152.


Alternatively, the three entered IDs (patient ID, dispense ID, and channel ID) are entered in a different specific order or without regard to order. Where the IDs are entered without regard to order, the IDs would be maintained within the MMS 10 and/or caching mechanism 20 as they are entered, so that the IDs can be recalled when needed to complete the medication delivery workflow.


The input device 32 matches the order ID with an item in the task list to ensure a Five Rights check at step 154. The “Five Rights” in this section refer to the “Five Rights of Medical Administration”. Alternatively, the Five Rights check is done at the MMU 12 once the MMU 12 receives the order information as well as the patient, dispense, and channel IDs. A description of these “rights” follows. Right patient, is the drug being administered to the correct patient. Right drug, is the correct drug being administered to the patient. Right dose, is the correct dosage of the drug being administered to the patient. Right time, is the drug being administered to the patient at the correct time. Right route, is the drug being administered into the patient by the correct route, in this case intravenously through an IV. Once the order ID and item in the task list are reconciled, the input device 32 sends an order confirmed message to the caching mechanism 20 at step 156. In response, the caching mechanism 20 sends the order detail (medication order prescribed for a patient) of the order information to the input device 32 at step 158.


With reference to FIGS. 4, 5, 11, the input device 32 then displays a scan device/channel screen 143B (FIG. 11) which prompts the caregiver 114 to enter channel identification information (channel ID) regarding which channels of the medical device 14 are to be used for the delivery. The caregiver 114 enters a channel ID such as the machine readable indicator 92. The input device 32 enters this channel ID at step 160, and displays a confirmed scan device screen 159B (FIG. 11B) indicating that the channel ID was successfully entered into the input device 32. It will be appreciated that the channel ID indicator 92 can include information also identifying the medical device 14 (medical device ID). Alternatively, it is contemplated that an additional machine readable indicator (not shown) may be provided for the medical device itself separate from the channel ID machine readable indicator 92. If the medical device 14 has a single channel, a single indicator will clearly suffice. If the medical device 14 is a multi-channel device, the channel indicators can also carry information that uniquely identifies the device the channel is on. At any rate, it should be apparent that a second entry of a combined device/channel ID may be redundant and could be eliminated. The input device 32 then transmits the delivery information including caregiver ID, patient ID, medical device ID and/or channel ID, dispense ID, and order ID to the MMU 12 at step 162.


With reference to FIGS. 4, 5 and 12-14, when the medical device 14 is turned on at step 164 the medical device 14 displays a start up screen 163A (FIG. 12) on the display 88 of the medical device 14. The medical device 14 then displays a clinical care area selection screen 163B (FIG. 13) which prompts the caregiver 114 to select the clinical care area (CCA) that the medical device 14 is being assigned to. The caregiver 114 enters or selects the CCA at step 166 using scroll and select/enter keys on the user interface means 86. The medical device 14 then displays a channel selection screen 163C (FIG. 14) that prompts the caregiver 114 to select the desired channel (90 or 94) or bag source (100 or 106) using soft keys 163D-G, more particularly 163E, 163F respectively. The medical device 14 enters this channel ID at step 168. The CCA information is transmitted to the MMU 12 by the medical device 14 at step 170. Alternatively, where the CCA is known and available to the HIS 18, the CCA can be automatically generated for the medical device 14, and sent from the HIS 18 to the MMU 12


With reference to FIGS. 2 and 5, the MMU 12 executes the Process Drug Order 46 program and sends an active order request based on the delivery information from the input device 32 to the caching mechanism 20 at step 172. The caching mechanism 20 responds by sending the corresponding patient-specific order information to the MMU 12 at step 174. The caching mechanism 20 may send to the MMU 12 order information regarding all information associated with the particular patient, including but not limited to order detail for a medication order, patient demographic information, and other hospital information systems data such as lab results data or monitoring data.


Referring to FIG. 5A, the MMU 12 then executes the Apply Expert Clinical Rules 50 program to process the CCA information from the medical device 14 and the delivery information from the input device 32, at step 178. The Apply Expert Clinical Rules 50 program compares the delivery information with an expert rule set to determines expert rule set violations based on correlating treatment based protocols, disease based protocols, drug-drug incompatibility, patient data (age, height, weight, etc), vital signs, fluid in/out, blood chemistry, and status assessments (such as pain and cognition). As used herein, the term drug-drug incompatibility includes but is not limited to determinations of drug-drug interactions and/or drug-drug compatibility between two or more medication orders for concurrent delivery (to the same patient at the same time) and/or in a time sequence for the same patient (i.e. through a common output IV line). In cases where the Apply Expert Clinical Rules 50 program finds an expert rule set violation (such as a drug-drug incompatibility), the Apply Expert Clinical Rules 50 program generates an alarm and/or requires a time delay in execution for one of the two separate delivery information submissions.


The Apply Expert Clinical Rules 50 program also establishes a patient-specific rule algorithm. The patient-specific rule algorithm is primarily based on the expert rule set described above applied to a specific order detail. The patient-specific rule algorithm generates a patient-specific rule set (discussed in greater detail below, at the description of FIG. 20) according to patient-specific order information including but not limited to patient demographic information, and other hospital information systems data such as lab results data or monitoring data. The patient-specific rule set includes hard and soft dosage limits for each drug being administered. The patient-specific rule set is included in the delivery programming code sent to the medical device 14 at step 182.


Any alarms generated by the Process Drug Order 46 or Apply Expert Clinical Rules 50 programs are delivered to the medical device 14, HIS 18, and/or input device 32, computer 254 (FIG. 17), at step 180. Computer 254 can be located in a remote nurse station or a biomedical technician area. If no alarms are generated, the MMU 12 transmits a delivery program code to the medical device 14, at step 182. The delivery program code sent from MMU 12 to the medical device 14 includes a patient-specific rule set generated from any rule based adjudication at the MMU 12, including hard and soft dosage limits for each drug being administered. The medical device 14 caches the patient-specific rule set contained in the delivery program code. Alternatively, the MMU 12 can generate an alarm at the medical device 14 or another location and not download the delivery program code.


With reference to FIGS. 5, 5A and 15, the medical device 14 displays an order dose confirmation screen 187A (FIG. 15) which prompts the caregiver 114 to confirm the delivery data. As shown, the caregiver 114 selects the “yes” soft key 187B on the medical device 14 to confirm the delivery data and the “no” soft key 187C to cancel the delivery. The caregiver 114 confirms the delivery data at the medical device 14 at step 188. Once the caregiver 114 confirms the delivery data at the medical device 14, the medical device 14 then executes the delivery program code and begins infusion at step 198. As part of the program code, the infusion may be delayed for a predetermined period of time.


Alternatively, confirmation from the caregiver can be made at the input device 32 or required from both the input device 32 and medical device 14. As shown, a redundant additional confirmation performed by the caregiver 114 at the input device 32 after the medical device has received the delivery program code. Specifically, the medical device 14 transmits a canonical representation of the delivery programming code data (delivery data) to the MMU 12 detailing the infusion to be performed by the medical device 14, at step 184. The MMU 12 then transmits the same delivery data that was originally transmitted to the medical device 14 to the input device 32 at step 186. Alternatively, the delivery data can be passed to another remote computer (254 in FIG. 17), including but not limited to a computer at a nurse station, for confirmation.


With reference to FIGS. 5A and 16, the input device 32 displays an order dose confirmation screen 191A (FIG. 16) that prompts the caregiver 114 to confirm the delivery data. As shown, the caregiver 114 selects the complete button 191B on the input device 32 to confirm the delivery data and the cancel button 191C to cancel the delivery. The caregiver 114 confirms the delivery data at the input device 32 at step 192, and the confirmation is used for documentation by the HIS 18, or other systems within the hospital environment 16.


With reference to FIGS. 4A and 5A, during infusion, the medical device 14 executes its Process Drug Order 128 program. The Process Drug Order 128 program sends infusion change events and infusion time events in a delivery event log message 200 to the MMU 12. The MMU 12 forwards these delivery event log messages to the input device 32 or other system within the hospital environment 16 at step 202. The caregiver 114 acknowledges these delivery event log messages on the input device 32, at step 204. The input device 32 then sends an acknowledged delivery event log message 206 to the caching mechanism 20, detailing the delivery event, the caregiver ID, and the caregiver acknowledgment. The caching mechanism passes the delivery event message to the HIS 18 at step 208.


Once infusion has ended at step 210, the medical device 14 sends an infusion ended message 212 to the MMU 12. The MMU 12 then aggregates all the delivery event messages 200 sent during the infusion at step 214. The MMU 12 sends the aggregated delivery events 216 to the input device 32. The caregiver 114 enters a completed task 218 on the input device 32, and sends the aggregated delivery events to the caching mechanism at step 220, which in turn passes the delivery event log messages to the HIS 18 at step 222.


With reference to FIGS. 6 and 6A, an alternative flow chart of the MMS 10 processing a drug order through the MMU 12 and medical device 14 is shown. With reference to FIGS. 4, 6 and 6A, the caregiver 114 enters the patient ID, which then is stored in the caching mechanism 20. The caching mechanism 20 transmits the patient ID to the HIS 18 and retrieves a patient-specific task list for that patient ID. The caregiver 114 then enters the dispense ID, which subsequently is stored in the caching mechanism 20. The caching mechanism 20 transmits the dispense ID to the HIS 18, and retrieves a patient-specific order information, including but not limited to an order detail, patient demographic information, and other hospital information systems data such as lab results data. The caregiver 114 then enters the channel ID, which is stored in the MMU 12.


Alternatively, the three entered IDs (patient ID, dispense ID, and channel ID) are entered in a different specific order or without regard to order. Where the IDs are entered without regard to order, the IDs would be maintained within the MMS 10 and or caching mechanism 20 as they are entered, so that the IDs can be recalled when needed to complete the medication delivery workflow.


Upon receipt of the channel ID, the MMU 12 requests the order information (order detail, patient demographic information, and other hospital information systems data) and retrieves it from the caching mechanism 20. This order information is stored within the MMU 12 and utilized for subsequent rule processing such as “Five Rights” checking and other rule set algorithms. The Process Drug Order 46 program processes the delivery information from the input device 32 (including caregiver ID, patient ID, medical device/channel ID, and dispense ID) and compares this delivery information with the corresponding order detail portion of the order information from the caching mechanism 20, at step 176. Where the order information and delivery information do not match, the device program code downloaded to the medical device 14 at step 182 includes an alarm message indicating that the five rights check was not met. Additionally, the alarm message can include a description of which particular right(s) did not match. Alternatively, the NMU 12 can generate an alarm at the medical device 14 or another location and not download the program code for delivery of the medication order.


Alternatively, the MMU 12 can accept a Five Rights check from another device, such as a HIS 18 or an input device 32. This check can be accepted either by a direct data element being sent to the MMU 12 indicating a Five Rights check, or implied through the workflow provided by the HIS 18 or input device 32.


The other steps shown in FIGS. 6 and 6A are similar to corresponding steps in FIGS. 5 and 5A. Accordingly, these steps will not be described with any further detail here. One skilled in the art will appreciate that the vertical lines in FIGS. 5, 5A, 6, 6A do not necessarily represent a firm time sequence. Some steps may be done sooner than shown (for example, turning on the medical device) or later than shown (for example, aggregate delivery events).


With reference to FIGS. 2, 4A, 5, 5A and 20, in one embodiment, the Process Drug Order 46 program of the MMU 12 and the corresponding Process Drug Order 128 program of the medical device 14 permit the MMU 12 to remotely control the medical device 14 to modulate performance of a medication order. For example, the MMU 12 can remotely start and/or stop the medical device 14. Once the delivery program code is received by the medical device 14 at step 184, the Process Drug Order 46 of MMU 12 remotely starts execution of the infusion by sending a start order 224, which triggers the medical device to begin infusion at step 225. Likewise, when the infusion is to end at step 228, the Process Drug Order 46 program can remotely stop the infusion by sending a stop order 226 to the medical device 14, which triggers the medical device to end infusion at step 228. In most cases, the MMU 12 requires the caregiver to confirm the start or stop of execution. This confirmation by the caregiver may take place at the input device 32 or the medical device 14. However, one skilled in the art will appreciate that there may be emergency situations where an order could and should be stopped without human confirmation.


With reference to FIGS. 2, 5, 5A and 20, in one embodiment, the Apply Expert Clinical Rules 50 program of the MMU 12 permits the MMU 12 to adjust a previously fixed patient-specific rule set based on new patient conditions and/or recent lab results, and notify the caregiver that adjustment is recommended by the MMU 12. As discussed above in regard to FIGS. 5 and 5A, the Apply Expert Clinical Rules 50 program establishes a patient-specific rule algorithm. The patient-specific rule algorithm is primarily based on the expert rule set described above applied to a specific order detail. The patient-specific rule algorithm generates a patient-specific rule set according to patient-specific order information including but not limited to patient demographic information, and other hospital information systems data such as lab results data or monitoring data. The patient-specific rule set includes hard and soft dosage limits for each drug being administered, and these hard and soft dosage limits likewise are adjusted when the patient-specific rule set is adjusted.


For example, during or even before an infusion, the MMU 12 may receive updated patient information that can impact an ongoing or impending infusion. As shown in FIG. 20, the lab 28 sends updated patient-specific lab results to the MMU 12 at step 230. Likewise, the monitoring device 30 sends updated patient-specific monitoring information to the MMU 12 at step 232. Additionally the MMU 12 queries the HIS 18 for patient information including: Patient Allergies, Patient Diet, and Current Patient Medical Orders. Patient Allergies are used to check for drug-allergy interactions, at step 231. Patient Diet information is used to check for drug-food interactions. Current Patient Medical Orders are used to check for drug-drug incompatibility. Like the patient information gathered from the Lab 28 and the monitoring device 30, the patient information from HIS 18 is also used by the MMU 12 to update the delivery program order.


As shown in FIGS. 5 and 5A, in cases where the MMU 12 is processing a drug order for the medical device 14, the MMU 12 executes the Apply Expert Clinical Rules 50 program at step 178 to establish a patient-specific rule set based on updated patient information received or retrieved from the lab 28, the monitoring device 30, and or the HIS 18 (FIG. 20). This real-time or near delivery time updated patient-specific information is useful in adapting patient therapy because it may not have been available at the time the medication order was prescribed.


As shown in FIG. 20, The MMU 12 also modifies the existing patient-specific rule set in the existing delivery program code at step 234 based on updated patient information received or retrieved from the lab 28, the monitoring device 30, and or the HIS 18. The MMU 12 optionally alerts the input device 32 and/or the medical device 14 of changes to the patient-specific rule set. MMU 12 also optionally generates an alert message if the delivery programming code violates any parameter of the adjusted hard and soft dosage limits. Additionally, the MMU 12 optionally requests confirmation by the caregiver prior to instituting the new patient-specific rule set. The MMU 12 then delivers an updated delivery program code to the medical device 14 for execution at step 236. The medical device 14 then executes this updated delivery program code as step 238. The updated delivery program code sent from MMU 12 to the medical device 14 includes an updated patient-specific rule set generated from any rule based adjudication at the MMU 12, including hard and soft dosage limits for each drug being administered. The medical device 14 caches the updated patient-specific rule set contained in the delivery program code. Additionally, the MMU 12 collects, stores, and reports the changes to the patient-specific rule set, changes to the hard and soft limits, as well as the history of each medication order.


An example of how the MMU 12 updates the patient-specific rule set based on lab results or monitored patient conditions is provided below with respect to the drug Heparin, which is a blood thinner. The medication order entered by the physician might be:

    • Give heparin 1000 units/hour. If the activated partial thromboplastin time (APTT)>75 seconds then decrease heparin to 800 units/hour.


If the medical device 14 has started the infusion at 1000 units/hour and the MMU 12 subsequently receives an updated APTT value of 100 seconds from the lab 28 on the patient, the MMU automatically commands the medical device 14 to decrease the infusion rate to 800 units/hour. Alternatively, when the MMU is notified by lab 28, an alarm will be generated to the PDA 32 and/or the medical device 14 to notify the caregiver of the need to change the infusion rate. The MMU can preprogram the pump for the caregiver to confirm the recommended change.


In further embodiment or method, the hospital may establish expert rules or clinical decision support rules in the MMU 12 that will be applied automatically to incoming prescribed orders, such that the physician may simply write an order for 1000 or 1200 units/hour. The hospital best practices formulated by the appropriate medical personnel are established in the MMU 12 and can dictate that all heparin orders are to be conditioned on the APTT lab result and such an expert rule or clinical decision support rule will be used by the MMU 12 to govern the operation of the medical device 14. The MMU 12 also can check the most recent patient data and provide an alarm and/or temporarily modify the delivery order prior to the start of the infusion if the prescribed order is no longer appropriate given the expert rules or clinical decision support rules and the latest lab results or monitored patient conditions. It should be apparent that this kind of intervention by the MMU 12 during or immediately prior to an infusion is particularly useful in preventing adverse consequences for the patient and the hospital.


Where the MMU 12 adjusts a previously fixed patient-specific rule set based on new patient conditions and/or recent lab results, as described above, the MMU 12 provides dynamic advanced reports of real-time rule set changes in relation to changes in the condition of the patient (an “information cascade”). These advanced reports detail the history of both hard and soft upper and lower limits, as well as the activation of overrides and confirmations based on these limits for each medical device 14 managed by the MMU 12. Further details on this feature can be found in commonly owned co-pending application entitled SYSTEM FOR MAINTAINING DRUG INFORMATION AND COMMUNICATING WITH MEDICATION DELIVERY DEVICES filed on Feb. 20, 2004, which is expressly incorporated herein in its entirety.


With reference to FIGS. 2, 4A and 19, the Download Drug Library 44 program in the MMU 12 and the corresponding Download Drug Library 132 program in the medical device 14 operate to send a drug library to the medical device 14 from the MMU 12. The drug library includes drug and device related information, which may include but is not limited to drug name, drug class, drug concentration, drug amount, drug units, diluent amount, diluent units, dosing units, delivery dose or rate, medication parameters or limits, device/infuser settings and/or modes, CCA designations and constraints, and library version. The Download Drug Library 132 program is designed to cache in a cache memory 126A a new database or drug library at medical device 14 while maintaining an existing older version database or drug library in its primary memory 126. This allows the medical device to operate or deliver an infusion based on the older version of the drug library without disruption until a trigger event occurs, at which time the new drug library replaces the older version in the primary memory 126. It is contemplated that the medical device 14 can be equipped with an initial drug library at the factory.


The Download Drug Library 132 program in the medical device 14 begins at a block 240 and at block 242 a determination is made that a drug library update needed event has occurred. For instance the drug library update needed event could be a completed infusion, a stopped infusion, elapsed time, a specific date and time, creation of the new drug library, the medical device 14 being or entering into a particular configurable mode such as stop, “sleep” or “wakeup”, connection of the medical device 14 to an access node 84 in a new CCA, a download of a new or modified drug library to the medication management unit, or a determination that the existing drug library at the medical device needs updating. The configurable mode could be any number of device modes including a power-on sleeping mode and a power-off mode. The determination that a drug library update needed event has occurred can be made by (at) the MMU 12, the medical device 14 or by a combination of the two.


Based on the specific drug library update needed event, the Download Drug Library 132 proceeds to block 244 where it retrieves or receives a new drug library. Once retrieved or received, the Download Drug Library 132 proceeds to block 246 where it stores the new drug library in the cache memory 126A of the medical device 14. While a medical device 14 is operating on a patient or in an otherwise nonconfigurable mode, information such as a new drug library or database is stored in a cache memory 126A of the medical device 14 as the information is received from a wired or wireless link through the network interface 122. The Download Drug Library 132 proceeds to block 248 where it determines if a specific trigger event has occurred. For instance, the trigger event could be a completed infusion, a stopped infusion, a determination that the device is in a configurable mode, elapsed time, a specific date and time, creation of the new drug library, a download of a new or modified drug library to the medication management unit, and a determination that the existing drug library at the medical device needs updating. The configurable mode could be any number of device modes including a power-on sleeping mode and a power-off mode. The determination that a trigger event has occurred can be made by (at) the MMU 12, the medical device 14 or by a combination of the two.


The Download Drug Library 132 then proceeds to block 250 where it deletes the existing drug library in primary memory 126 and installs the new drug library, and the new drug library from cache memory 126A will replace the older information in the memory 126 of the medical device 14. The Download Drug Library 132 process is then complete and ends in block 252.


Additional related features of the Download Drug Library 44 program in the MMU 12 and the corresponding Download Drug Library 132 program include recording the history of the download, verify the correct download, notification to the caregiver of a change of library, and a preliminary note on the medical device 14 display stating that the drug library will be changed after any current infusion (i.e., before the next infusion).


Additionally, partial updates of the drug database within the medical device 14 are also made possible by the present invention. The MMU 12 is supplied with a drug database that allows a user to update a single data item (row, column, or cell) in the database without re-writing the entire database. This provides faster processing and downloading times when modifying the drug database.


Further, the Download Drug Library 44 program in the MMU 12 is designed to modify a medication library from the HIS 18 in such a way that only a single configuration of a single drug library is necessary to provide download information to multiple separate and different medical devices 14 where each device has unique parameters (different models, processors, computer architecture, software, binary format, or manufacturers, for example). In this embodiment, the configured drug library is designed so that only a subset of the configured drug library is specific for each unique type of medical device 14, and only the specific information is selected for transfer to each medical device 14. Additionally, pre-validation of the configured drug library is done through use of a rule set editor prior to sending from the MMU 12 to the medical device 14, and post-validation occurs where the medical device 14 confirms receipt of an acceptable drug library back to the MMU 12. Further details on these additional related features can be found in commonly owned co-pending application entitled SYSTEM FOR MAINTAINING DRUG INFORMATION AND COMMUNICATING WITH MEDICATION DELIVERY DEVICES filed on Feb. 20, 2004, which is expressly incorporated herein in its entirety.


With reference to FIGS. 2, 3, and 4A, the Monitor Pump 44 program in the MMU 12 and the corresponding Monitor Pump 130 program in the medical device 14 operate to map the approximate or general physical location of each medical device 14 within the hospital environment and to enable a user to trigger a locator alarm to locate a particular medical device 14. Additionally, the programming enabling the medical device locator would be located in an asset manager 64 portion of the MMU 12.


With reference to FIG. 17, the MMU 12 communicates with one or more (more preferably a plurality of) medical devices 14A, 14B, and 14C through the electronic network 76. The medical device or devices 14A, 14B, and 14C connect to the electronic network 76 through one or more (more preferably a plurality of) access nodes 84A, 84B, and 84C distributed in one or more (more preferably a plurality of) CCAs 253A and 253B. More than one medical device 14 can operate from an individual access node 84 and be associated with a particular patient. Typically, there is one access node per room (101, 103, and 301), but it also is possible to have more than one access node per room and more than one room or CCA per access node. Additionally, as discussed above with regard to FIG. 4, the connection between the medical devices 14A, 14B, and 14C and the access nodes 84A, 84B, and 84C can be wireless. A user access device such as a computer system 254 is remotely located from the MMU 12 and the medical device 14 and communicates with the MMU 12 to permit a user 256 to activate the Monitor Pump 44 program in the MMU 12 and remotely activate the corresponding Monitor Pump 130 program in the medical device 14. The computer 254 can be located in a variety of locations, including but not limited to a nurse station or a biomedical technician area.


With reference to FIG. 18, the functional steps of the Monitor Pump 52 program in the MMU 12 and the corresponding Monitor Pump 130 program in the medical device 14A are shown in operation with the computer 254. To begin to request a physical location for a medical device 14, the user 256 (not shown) enters a query for the location of a medical device 14A. The computer 254 sends a request device location 258 message to the MMU 12. The MMU 12 in turn sends a request last used access node 260 message to the medical device 14A. It is also contemplated that the Monitor Pump Program 130 can be operated with the input device 32.


The medical device 14A determines the last access node 84A-84C used to connect with the electronic network 76 at step 262. A report of the last used access node 264 is sent from the medical device 14 to the MMU 12. The MMU 12 processes the report of the last used access node 264 to determine the general physical location of the device at step 266. Once the physical location of the medical device 14A is determined by the MMU 12, a report physical location 268 message is sent from the MMU 12 to the computer 254. Additionally, the MMU 12 tracks “change of infuser access node” events, when a medical device 14 begins to communicate through a different network access node 84. The MMU 12 communicates the physical locations of medical devices 14 to the HIS 18.


If the user 256 requires additional assistance in locating the particular medical device 14A, the user 256 can instruct the computer 254 to send a request audio location alarm 270 message to the MMU 12. The MMU 12 in turn sends an order audio locator alarm 272 message to the medical device 14A. The medical device 14A then activates an audio alarm at step 274 to assist the user 256 in locating the medical device 14A. The audio alarm activation can be delayed by a predetermined time to allow the user time to travel to the area of the last used access node. The audio alarm feature is useful in allowing the user to more precisely pinpoint the location of the medical device 14. The audio alarm feature is particularly useful if the medical device 14 is very close to other medical devices or has been moved to a storage closet or other location where it is not readily apparent visually.


Alternatively, the functional steps of the Monitor Pump 44 program in the MMU 12 and the corresponding the Monitor Pump 130 program shown in FIG. 18 can be performed as a series of “push” steps instead of a series of “pull” steps (as shown in FIG. 18). In a “push” embodiment the medical device 14A periodically determines the last used access node and periodically reports the last used access node to the MMU 12 as a “here I am” signal. Likewise, the MMU 12 periodically determines the physical location of the medical device 14A based on the last access node 84A used by the medical device 14, and periodically reports the physical location of the medical device 14A to the user access device 254. Alternatively, the MMU 12 programming allows it to determine which of access nodes 84 was the last access node used by the device 14 (step 259 indicated by a dashed line) and the MMU can report the general physical location of the medical device 14 to the computer 254 without requesting a report from the medical device 14.


In one embodiment described above, the association between medical devices 14, patient 110, drug 100, and caregiver 114 (if present), is accomplished by swiping machine readable indicators on each of these elements of the PAN 113 (See FIG. 4). This association is made in software residing the MMU 12. Alternatively, the association is made in software residing in the medical device 14. With reference to FIG. 21, in another embodiment, the association between medical devices 14A, patient 110, drug 100, and caregiver 114, is accomplished by “auto-association”. Auto-association is desirable in situations where the patient's wrist is not readily accessible (e.g. during surgery, or a neonate in an incubator).


In the auto-association embodiment, the MMU 12 and medical device 14A are designed to establish the patient as the focus of the MMS 10. In this embodiment, the patient 110 is equipped with a machine readable indicator 112A on a wristband, toe tag, badge or similar article. The machine readable indicator 112A contains transmitter/receiver chip 278, capable of short-range transmission. The transmitter/receiver chip 278 is a low power RF Bluetooth™, a dedicated RF transmitter working with a PIC processor, or any other suitable transmitter/receiver. The patient 110 is fitted with the machine readable indicator 112A at the time of admission. The unique ID number of the particular machine readable indicator 112A is stored with an electronic patient record at the HIS 18 and hence MMU 12. The MMU 12 is thereby notified of the particular machine readable indicator 112A associated with the particular patient 110. Additionally, it is contemplated, that any other machine readable indicator used with the present invention, may also contains transmitter/receiver chip capable of short-range transmission. For instance, the caregiver machine readable indicator 116 and medication machine readable indicator 102 may also be equipped with a transmitter/receiver chip.


Each medical device 14A is also equipped with a transmitter/receiver chip 280A. Upon placing a medical device 14 at the patient 110 bedside, within the PAN 113, the transmitter/receiver chip 280A of the medical device 14A “pings” by sending out a “request for patient” command to any transmitter/receiver chip 278 that is in the area. Each transmitter/receiver chip 278, which is in the area (usually about 0-10 meters, more preferably about 0-3 meters), replies to the ping by sending the transmitter/receiver chip 280 of the medical device 14A the unique ID number of the particular machine readable indicator 112A. Upon receipt of a signal from the machine readable indicator 112A, the medical device 14A places the ID number of the machine readable indicator 112A in memory 126 (See FIG. 4A) and also transmits the same to the MMU 12. Alternatively, the unique ID of the indicator 112A can be transmitted directly to an MMU 12 located in the area or indirectly through another route, including but not limited to the medical device 14. With reference to FIGS. 5, 5A, 6 and 6A, the MMU 12 Process Drug Order 46 program then checks the patient ID entered at step 162 and the device/channel ID entered at step 160 to ensure the correct match. The MMU 12 associates the medical device 14A only to the identified patient based on the patient ID number sent to the MMU 12. Dissociating the medical device 14A from the patient is done based on a command from a user, or other method.


It should be noted, that the machine readable indicator 112A (as well as the machine readable indicator 112), can include equipment for monitoring the wearer, and transmitting this monitored information to the medical device 14 and/or the MMU 12.


With reference back to FIG. 21, placing a second medical device 14B within the PAN 113 leads to a repeat of the same process. In this case the first medical device 14A “pings” any transmitter/receiver chip that is in the area. The transmitter/receiver chip 280B of the second medical device 14B replies to the ping by sending the transmitter/receiver chip 280A of the first medical device 14A the unique ID number of the particular machine readable indicator 92B. Upon receipt of a signal from the machine readable indicator 92B, the first medical device 14A places the ID number of the machine readable indicator 92B in memory 126 (See FIG. 4A) and also transmits the same to the MMU 12. The patient ID number is then sent from the first medical device 14A to the second medical device 14B.


An additional or alternative validation of the “right patient” can be accomplished by caregiver visual confirmation of the patient following the auto-association procedure described above in relation to FIG. 21, and is also applicable to the five-rights procedures described above with respect to FIGS. 5, 5A, 6 and 6A. In this process, the patient 110 is photographed with a digital camera (not shown) at the time of admission and the digital photo is stored with the electronic patient record at the HIS 18. When a medication order is requested for a specific patient, the digital photo is sent to the MMU 12 and upon completion of the association process, the digital photo is transmitted from MMU 12 to the medical device 14 at the patient 110 bedside. The image of the patient 110 is sent to the display 88 of the medical device 14, which is preferably a high resolution touch screen at least approximately 12 cm by 12 cm. The image of the patient 110 is then placed on the display 88 and the caregiver 114 is prompted by the display 88 to “Confirm Patient”. The caregiver 114 confirms a patient match upon visual comparison of the patient 110 with the image on the display 88.


Alternatively, the digital photo information alternatively can be stored on the indicator 112 or 112A and transmitted by the transmitter/receiver 178 thereof. The digital photo is transmitted to the medical device 14 when the medical device 14 has been associated with the patient 110.


With reference to FIG. 22, another portion of the functional steps of the Monitor Pump 52 program in the MMU 12 and the corresponding Monitor Pump 130 program in the medical device 14 are shown in operation with the computer 254. To begin to request a specific evaluation for the operation of a specific medical device 14, or group of medical devices 14, the user 256 (not shown) enters a query for the operation evaluation of a medical device 14. The computer 254 sends an operation evaluation request 282 message to the MMU 12. The MMU 12 in turn sends a request operation data 284 message to the medical device 14. The medical device 14 sends a report operation data 286 message (including but not limited to event logs, settings, CCA and utilization information) back to the MMU 12 at step 286. The MMU 12 processes the report operation data 286 to generate an operational evaluation at step 288. Once the operational evaluation of the medical device 14 is determined by the MMU 12, a report operational evaluation 290 message is sent from the MMU 12 to the computer 254.


Alternatively, the functional steps of the Monitor Pump 44 program in the MMU 12 and the corresponding the Monitor Pump 130 program shown in FIG. 22 can be performed as a series of “push” steps instead of a series of “pull” steps (as shown in FIG. 22). In a “push” embodiment the medical device 14 periodically reports the operation data to the MMU 12. Likewise, the MMU 12 periodically processes the report operation data 286 to generate an operational evaluation at step 288, and periodically reports the operational evaluation of the medical device 14 to the user access device 254 at step 290.


The automated operational evaluation described above, provides a method of evaluating medical device 14 while in operation; thus eliminating the need to postpone evaluation until the medical device 14 is taken out of use. The real-time data collection capabilities of the MMU 12 and Monitor Pump 52 program allow the MMU 12 to determine medical device 14 performance including advanced statistical operations in order to provide quality control data sorting algorithms and aggregation of data and control for a PAN 113 (not shown). For example, consider a MMS 10 where multiple discreet single or multiple channel medical devices 14 (or channels) are connected to a single patient 110 (not shown). The Monitor Pump 52 program collects all medical device 14 information in real-time and then compares medical device 14 statistics to one another. Likewise, infuser channels can be compared to other infuser channels within the same multiple channel medical device or in other devices. Monitor Pump 52 program therefore can detect a “bad actor” if any one of the medical devices 14 or channels is operating at a level statistically lower or higher than the other medical devices 14 or channels. This statistical determination can be made by collecting and comparing the mean and standard deviation of appropriate data elements. This statistical determination can be performed selectably on any of the data that is routinely collected by the medical device 14 event log and any that may be acquired from the instrumentation of the medical device 14. For example, statistical determinations could be performed based on air alarm events, occlusion alarm events, battery usage data, screen response time, etc. MMU 12 then sends the operational evaluation message (including any relevant quality control alert) to an appropriate area (including but not limited to the computer 254) in a form that is appropriate for the particular alert (usually including but not limited to graphically or audibly). Additionally, operational evaluation message (including any relevant quality control alert) can be sent to any number of individuals including but not limited to the caregiver, a biomedical engineer, caregiver supervisor, and a doctor.


With reference to FIG. 17, the medical device 14 is designed as a multi-processor, where many features are not hardwired, but instead can be uniquely configured based on rules, the location of the medical device 14, etc. For example, the medical device 14 is designed to allow a customized display based on the Clinical Care Area (CCA) 253A or 253B the medical device 14 is located in and/or assigned too. An example of this would be the MMU 12 instructing the medical device 14 to have a display of a particular color or warning tones/volumes based on the location of the medical device 14 in the hospital, time of day, caregiver information, patient information, or the type of medication being supplied. For example, the patient information could include a patient diagnosis and/or a disease state. For example, alarm volumes and display brightness can be set lower in the pediatric clinical care area or at night than in the emergency room clinical care area or during the daytime.


With reference to FIG. 4, similarly, the medical device 14 is designed to allow a customized display based on user information supplied to the medical device 14 (from the MMU 12 for example). Such user based customized display could include changes in language preference, limited access depending on the security level of the caregiver 114, customizing the displayed information based on the training level of the individual or recent interactions therewith, and/or customizing an automated help function based on training level of the user or recent interactions therewith. The MMU 12 presents a user with a default view based on the user's role. The MMU 12 permits a default view for each role to be configurable in terms of the data detail presented. The MMU 12 allows a user with the appropriate privilege to set a particular presented view as the preferred or default starting view for that user following login. The MMU 12 allows a user to access databases and details based on role and privilege. The MMU 12 allows a user to access other views based on role and privilege. Each presented view includes: a common means of navigating among views, both summary and detail, access to privacy, security, and other policy statements, access to online help, and a logoff capability. Additionally, an emergency bypass (such as a pass-code) would be provided to bypass security restrictions in case of an emergency.


With reference to FIG. 22, another portion of the functional steps of the Monitor Pump 52 program in the MMU 12 and the corresponding Monitor Pump 130 program in the medical device 14 are shown in operation with the computer 254. The MMU 12 tracks and records actions taken by the caregiver 114 based on operational data reported from one or more medical devices 14. Just as the MMU 12 is capable of generating an operational evaluation of each medical device 14, the MMU 12 can likewise generating an operational evaluation of each caregiver 114 (not shown) at step 288. This operational evaluation of each caregiver 114 includes records of each caregiver's 114 actions (or, in some cases, inactions), sorting of these actions based on given criteria, and tracking of any trends in these actions. In general, these records of actions include any task lists, medication administration records, treatments, and other actions associated with the caregiver's 114 responsibilities. Such records of actions may combine medications administered, treatments, and other actions for multiple patients under the care of an individual caregiver. MMU 12 then sends the operational evaluation message (including any relevant quality control alert) to an appropriate area (e.g. to the computer 254 or caregiver supervisor's computer (not shown)) in a form that is appropriate for the particular alert (usually including but not limited to graphically or audibly). Additionally, operational evaluation message (including any relevant quality control alert) can be sent to any number of individuals including but not limited to the caregiver, a biomedical engineer, caregiver supervisor, and a doctor.


Additionally, the MMU 12 can instruct the medical device 14 to customized display 88 based on the operational evaluation message. Thus, the display 88 is adjusted by the MMU 12 based a determination that the caregiver 114 requires additional or different information displayed to improve caregiver 114 interaction with the medical device 14. For example, detailed step by step instructions can be placed on display 88, where the MMU 12 recognizes a caregiver 114 who is not familiar with a particular therapy, using the display 88 as the instruction means. Likewise, where the MMU 12 recognizes that a caregiver 114 has limited experience programming the medical device 14 (caregiver experience) or in previous interactions had made errors programming a particular function (caregiver error rate) or was a statistically longer than the norm at programming a particular function (caregiver response time), the MMU 12 instructs the medical device 14 to display pertinent training information.


In another embodiment best understood with reference to FIG. 4A, the medical device 14 is designed to act as a web server for the input device 32 or other similar devices within proximity to the medical device 14. In this embodiment, medical device 14 is equipped to supply the input device 32 web browser with medical device related information as well as non-medical device related information such as task lists, etc. Additionally, the medical device 14 displays a dual function screen having both a pump monitor screen portion and a web browser screen portion. Further, supplying the medical device 14 as a web server permits a remote web browser to associate with the medical device 14 to configure the medical device 14 or run diagnostics on the medical device 14.


With reference to FIGS. 2 and 4A, another portion of the Monitor Pump 52 program in the MMU 12 and the corresponding Monitor Pump 130 program in the medical device 14 is directed to cloning between medical devices 14. The medical devices 14 are designed to have wireless data sharing between each medical device 14 sufficient to permit cloning of all patient information between each medical device 14, and/or the multi-sequencing of a set of medical devices 14 without a hardwired connection. The MMU 12 adjudicates this cloning and/or multi-sequencing.


Whereas the invention has been shown and described in connection with the embodiments thereof, it will be understood that many modifications, substitutions, and additions may be made which are within the intended broad scope of the following claims. From the foregoing, it can be seen that the present invention accomplishes at least all of the stated objectives.

Claims
  • 1. A system for configuring an infusion pump, the system comprising: an infusion pump configured to deliver medication to a patient, the infusion pump including (i) a first memory storing program instructions,(ii) a first processor communicating with the memory to execute the program instructions to perform functions of the infusion pump, and(iii) a first network interface in communication with the first processor and configured to receive input for pump configuration of the infusion pump over an internal wireless network;a display coupled to the infusion pump; andan input device in communication with the infusion pump over the internal wireless network via the first network interface;wherein the input device is configured to operate as a local web server over the internal wireless network to configure network properties of the infusion pump over the internal wireless network,wherein the pump configuration of the infusion pump comprises updating drug library and infusion pump software; andwherein the configuration of network properties enable a remote web browsing system to associate directly with the infusion pump to update the pump configuration.
  • 2. The system of claim 1, wherein the input device further comprises a barcode scanner configured to scan an identification tag associated with the infusion pump and wherein the input device is configured to automatically associate the infusion pump with identification data included in the identification tag based on the scanning.
  • 3. The system of claim 2, wherein the identification tag comprises medical device identification (ID).
  • 4. The system of claim 2, wherein the identification tag comprises patient ID.
  • 5. The system of claim 2, wherein the identification tag comprises caregiver ID.
  • 6. The system of claim 2, wherein the drug library is updated based on the identification tag.
US Referenced Citations (1032)
Number Name Date Kind
4024864 Davies et al. May 1977 A
4055175 Clemens et al. Oct 1977 A
4151845 Clemens May 1979 A
4213454 Shim Jul 1980 A
4240438 Updike et al. Dec 1980 A
4280494 Cosgrove et al. Jul 1981 A
4308866 Jeliffe Jan 1982 A
4370983 Lichtenstein et al. Feb 1983 A
4373527 Fischell Feb 1983 A
4392849 Petre et al. Jul 1983 A
4395259 Prestele et al. Jul 1983 A
4457751 Rodler Jul 1984 A
4464170 Clemens Aug 1984 A
4469481 Kobayashi Sep 1984 A
4475901 Kraegen et al. Oct 1984 A
4494950 Fischell Jan 1985 A
4498843 Schneider et al. Feb 1985 A
4515584 Abe et al. May 1985 A
4526568 Clemens et al. Jul 1985 A
4529401 Leslie et al. Jul 1985 A
4543955 Schroeppel Oct 1985 A
4551133 Zegers de Beyl et al. Nov 1985 A
4553958 LeCocq Nov 1985 A
4559037 Franetzki et al. Dec 1985 A
4613937 Batty Sep 1986 A
4624661 Arimond Nov 1986 A
4633878 Bombardieri Jan 1987 A
4634426 kamen Jan 1987 A
4634427 Hannula et al. Jan 1987 A
4674652 Aten et al. Jun 1987 A
4676776 Howson et al. Jun 1987 A
4679562 Luksha Jul 1987 A
4685903 Cable et al. Aug 1987 A
4695954 Rose Sep 1987 A
4696671 Epstein et al. Sep 1987 A
4714462 DiDomenico Dec 1987 A
4722734 Kolin Feb 1988 A
4731051 Fischell Mar 1988 A
4741732 Crankshaw et al. May 1988 A
4756706 Kerns et al. Jul 1988 A
4776842 Franetzki et al. Oct 1988 A
4785969 McLaughlin Nov 1988 A
4803625 Fu et al. Feb 1989 A
4835372 Gombrich et al. May 1989 A
4838275 Lee Jun 1989 A
4838856 Mulreany et al. Jun 1989 A
4838857 Strowe et al. Jun 1989 A
4854324 Hirschman et al. Aug 1989 A
4857716 Gombrich et al. Aug 1989 A
4858154 Anderson et al. Aug 1989 A
4898578 Rubalcaba, Jr. Feb 1990 A
4908017 Howson et al. Mar 1990 A
4933873 Kaufman et al. Jun 1990 A
4943279 Samiotes et al. Jul 1990 A
4946439 Eggers Aug 1990 A
4953745 Rowlett Sep 1990 A
4978335 Arthur, III Dec 1990 A
5000739 Kulisz et al. Mar 1991 A
5010473 Jacobs Apr 1991 A
5014698 Cohen May 1991 A
5016172 Dessertine May 1991 A
5026084 Paisfield Jun 1991 A
5034004 Crankshaw Jul 1991 A
5041086 Koenig et al. Aug 1991 A
5058161 Weiss Oct 1991 A
5078683 Sancoff et al. Jan 1992 A
5084828 Kaufman et al. Jan 1992 A
5088981 Howson et al. Feb 1992 A
5097505 Weiss Mar 1992 A
5100380 Epstein et al. Mar 1992 A
5102392 Sakai et al. Apr 1992 A
5104374 Bishko et al. Apr 1992 A
5109850 Blanco et al. May 1992 A
5131816 Brown Jul 1992 A
5142484 Kaufman et al. Aug 1992 A
5153827 Coutre et al. Oct 1992 A
5157640 Backner Oct 1992 A
5161222 Montejo et al. Nov 1992 A
5177993 Beckman et al. Jan 1993 A
5181910 Scanlon Jan 1993 A
5190522 Wocicki et al. Mar 1993 A
5199439 Zimmerman et al. Apr 1993 A
5200891 Kehr et al. Apr 1993 A
5216597 Beckers Jun 1993 A
5221268 Barton et al. Jun 1993 A
5230061 Welch Jul 1993 A
5243982 Möstl et al. Sep 1993 A
5244463 Cordner, Jr. et al. Sep 1993 A
5249260 Nigawara et al. Sep 1993 A
5256156 Kern et al. Oct 1993 A
5256157 Samiotes et al. Oct 1993 A
5261702 Mayfield Nov 1993 A
5317506 Coutre et al. May 1994 A
5319355 Russek Jun 1994 A
5319363 Welch et al. Jun 1994 A
5330634 Wong et al. Jul 1994 A
5338157 Blomquist Aug 1994 A
5341476 Lowell Aug 1994 A
5364346 Schrezenmeir Nov 1994 A
5366346 Danby Nov 1994 A
5368562 Blomquist et al. Nov 1994 A
5373454 Kanda et al. Dec 1994 A
5376070 Purvis et al. Dec 1994 A
5378231 Johnson et al. Jan 1995 A
5389071 Kawahara et al. Feb 1995 A
5389078 Zalesky et al. Feb 1995 A
5417222 Dempsey et al. May 1995 A
5423748 Uhala Jun 1995 A
5429602 Hauser Jul 1995 A
5431627 Pastrone et al. Jul 1995 A
5432777 Le Boudec et al. Jul 1995 A
5445621 Poli et al. Aug 1995 A
5447164 Shaya et al. Sep 1995 A
5455851 Chaco et al. Oct 1995 A
5461365 Schlager et al. Oct 1995 A
5464392 Epstein et al. Nov 1995 A
5465082 Chaco Nov 1995 A
5485408 Blomquist Jan 1996 A
5486286 Peterson et al. Jan 1996 A
5493430 Lu et al. Feb 1996 A
5496273 Pastrone et al. Mar 1996 A
5505828 Wong et al. Apr 1996 A
5507786 Morgan et al. Apr 1996 A
5508499 Ferrario Apr 1996 A
5515713 Saugues et al. May 1996 A
5520637 Pager et al. May 1996 A
5522798 Johnson et al. Jun 1996 A
5547470 Johnson et al. Aug 1996 A
5554013 Owens et al. Sep 1996 A
5562615 Nassif Oct 1996 A
5577169 Prezioso Nov 1996 A
5582323 Kurtenbach Dec 1996 A
5582593 Hultman Dec 1996 A
5594786 Chaco et al. Jan 1997 A
5598519 Narayanan Jan 1997 A
5620608 Rosa et al. Apr 1997 A
5630710 Tune et al. May 1997 A
5636044 Yuan et al. Jun 1997 A
5507288 Bocker et al. Jul 1997 A
5643212 Coutre et al. Jul 1997 A
5651775 Walker et al. Jul 1997 A
5658131 Aoki et al. Aug 1997 A
5658250 Blomquist et al. Aug 1997 A
5665065 Colman et al. Sep 1997 A
5669877 Blomquist Sep 1997 A
5672154 Sillén et al. Sep 1997 A
5681285 Ford et al. Oct 1997 A
5685844 Marttila Nov 1997 A
5687717 Halpern et al. Nov 1997 A
5689229 Chaco et al. Nov 1997 A
5697899 Hillman et al. Dec 1997 A
5699509 Gary et al. Dec 1997 A
5713856 Eggers et al. Feb 1998 A
5718562 Lawless et al. Feb 1998 A
5719761 Gatti et al. Feb 1998 A
5733259 Valcke et al. Mar 1998 A
5738102 Lemelson Apr 1998 A
5744027 Connell et al. Apr 1998 A
5752621 Passamante May 1998 A
5754111 Garcia May 1998 A
5764034 Bowman et al. Jun 1998 A
5764159 Neftel et al. Jun 1998 A
5772635 Dastur et al. Jun 1998 A
5774865 Glynn Jun 1998 A
5778256 Darbee Jul 1998 A
5778345 McCartney Jul 1998 A
5781442 Engleson et al. Jul 1998 A
5782805 Meinzer et al. Jul 1998 A
5788669 Peterson Aug 1998 A
5797515 Liff et al. Aug 1998 A
5800387 Duffy et al. Sep 1998 A
5814015 Gargano et al. Sep 1998 A
5822544 Chaco et al. Oct 1998 A
5822715 Worthington et al. Oct 1998 A
5827179 Lichter et al. Oct 1998 A
5832448 Brown Nov 1998 A
5836910 Duffy et al. Nov 1998 A
5850344 Conkright Dec 1998 A
5867821 Ballantyne et al. Feb 1999 A
5870733 Bass et al. Feb 1999 A
5871465 Vasko Feb 1999 A
5873731 Predergast Feb 1999 A
5885245 Lynch et al. Mar 1999 A
5897493 Brown Apr 1999 A
5897498 Canfield et al. Apr 1999 A
5910252 Truitt et al. Jun 1999 A
5912818 McGrady et al. Jun 1999 A
5915240 Karpf Jun 1999 A
5920054 Uber, III Jul 1999 A
5920263 Huttenhoff et al. Jul 1999 A
5924074 Evans Jul 1999 A
5931764 Freeman et al. Aug 1999 A
5935099 Peterson et al. Aug 1999 A
5935106 Olsen Aug 1999 A
5941846 Duffy et al. Aug 1999 A
5956501 Brown Sep 1999 A
5957885 Bollish et al. Sep 1999 A
5960085 De La Huerga Sep 1999 A
5961448 Swenson et al. Oct 1999 A
5967559 Abramowitz Oct 1999 A
5971594 Sahai et al. Oct 1999 A
5975081 Hood et al. Nov 1999 A
5990838 Burns et al. Nov 1999 A
5997476 Brown Dec 1999 A
6000828 Leet Dec 1999 A
6003006 Colella et al. Dec 1999 A
6012034 Hamparian et al. Jan 2000 A
6017318 Gauthier et al. Jan 2000 A
6021392 Lester et al. Feb 2000 A
6024539 Blomquist Feb 2000 A
6032155 De La Huerga Feb 2000 A
6032676 Moore Mar 2000 A
6073106 Rozen et al. Jun 2000 A
6104295 Gaisser et al. Aug 2000 A
6112182 Akers et al. Aug 2000 A
RE36871 Epstein et al. Sep 2000 E
6115390 Chuah Sep 2000 A
6122536 Sun et al. Sep 2000 A
6126637 Kriesel et al. Oct 2000 A
6135949 Russo et al. Oct 2000 A
6150942 O'Brien Nov 2000 A
6151643 Cheng et al. Nov 2000 A
6157914 Seto et al. Dec 2000 A
6159147 Lichter et al. Dec 2000 A
6167567 Chiles et al. Dec 2000 A
6182667 Hanks et al. Feb 2001 B1
6189105 Lopes Feb 2001 B1
6195589 Ketcham Feb 2001 B1
6208974 Campbell et al. Mar 2001 B1
6222323 Yamashita et al. Apr 2001 B1
6223440 Rashman May 2001 B1
6226277 Chuah May 2001 B1
6227371 Song May 2001 B1
6234176 Domae et al. May 2001 B1
6241704 Peterson et al. Jun 2001 B1
6248067 Causey, III et al. Jun 2001 B1
6249705 Snell Jun 2001 B1
6257265 Brunner et al. Jul 2001 B1
6259355 Chaco et al. Jul 2001 B1
6269340 Ford et al. Jul 2001 B1
6270455 Brown Aug 2001 B1
6271813 Palalau Aug 2001 B1
6277072 Bardy Aug 2001 B1
6280380 Bardy Aug 2001 B1
6283761 Joao Sep 2001 B1
6285665 Chuah Sep 2001 B1
6292860 Cochcroft, Jr. Sep 2001 B1
6312378 Bardy Nov 2001 B1
6327254 Chuah Dec 2001 B1
6330008 Razdow et al. Dec 2001 B1
6339718 Zatezalo et al. Jan 2002 B1
6346886 De La Huerga Feb 2002 B1
6363282 Nichols et al. Mar 2002 B1
6371719 Hildebrandt Apr 2002 B1
6377548 Chuah Apr 2002 B1
6388951 Matsumoto et al. May 2002 B1
6406426 Reuss et al. Jun 2002 B1
6408330 de la Huerga Jun 2002 B1
6418334 Unger et al. Jul 2002 B1
6427088 Bowman et al. Jul 2002 B1
6428483 Carlebach Aug 2002 B1
6442432 Lee Aug 2002 B2
6469991 Chuah Oct 2002 B1
6475180 Peterson et al. Nov 2002 B2
6482158 Mault Nov 2002 B2
6485418 Yasushi et al. Nov 2002 B2
6494694 Lawless et al. Dec 2002 B2
6494831 Koritzinsky Dec 2002 B1
6497680 Holst et al. Dec 2002 B1
6514460 Fendrock Feb 2003 B1
6517482 Eiden et al. Feb 2003 B1
6519569 White et al. Feb 2003 B1
6520930 Critchlow et al. Feb 2003 B2
6540672 Simonsen et al. Apr 2003 B1
6542902 Dulong et al. Apr 2003 B2
6544212 Galley et al. Apr 2003 B2
6544228 Heitmeier Apr 2003 B1
6546350 Hartmann et al. Apr 2003 B1
6551276 Mann et al. Apr 2003 B1
6554798 Mann et al. Apr 2003 B1
6558320 Causey et al. May 2003 B1
6558351 Steil et al. May 2003 B1
6565509 Say et al. May 2003 B1
6567416 Chuah May 2003 B1
6571294 Simmon et al. May 2003 B2
6572542 Houben et al. Jun 2003 B1
6572545 Knobbe et al. Jun 2003 B2
6578002 Derzay et al. Jun 2003 B1
6581117 Klein et al. Jun 2003 B1
6587034 Heiman et al. Jul 2003 B1
6589229 Connelly et al. Jul 2003 B1
6599281 Struys et al. Jul 2003 B1
6602191 Quy Aug 2003 B2
6605072 Struys et al. Aug 2003 B2
6628809 Rowe et al. Sep 2003 B1
6631353 Davis et al. Oct 2003 B1
6640246 Gardy, Jr. et al. Oct 2003 B1
6641533 Causey, III et al. Nov 2003 B2
6647299 Bourget Nov 2003 B2
6652455 Kocher Nov 2003 B1
6653937 Nelson et al. Nov 2003 B2
6659947 Carter et al. Dec 2003 B1
6669630 Joliat et al. Dec 2003 B1
6671563 Engleson et al. Dec 2003 B1
6673033 Sciulli et al. Jan 2004 B1
6674403 Gray et al. Jan 2004 B2
6681003 Linder et al. Jan 2004 B2
6689091 Bui et al. Feb 2004 B2
6692241 Watanabe et al. Feb 2004 B2
6694191 Starkweather et al. Feb 2004 B2
6694334 DuLong et al. Feb 2004 B2
6721286 Williams et al. Apr 2004 B1
6721582 Trepagnier et al. Apr 2004 B2
6725200 Rost Apr 2004 B1
6731989 Engleson et al. May 2004 B2
6740072 Starkweather et al. May 2004 B2
6751651 Crockett Jun 2004 B2
6752787 Causey, III et al. Jun 2004 B1
6753830 Gelbman Jun 2004 B2
6758810 Lebel et al. Jul 2004 B2
6773396 Flach et al. Aug 2004 B2
6774786 Havekost et al. Aug 2004 B1
6775577 Cmkovich et al. Aug 2004 B2
6780156 Haueter et al. Aug 2004 B2
6790198 White et al. Sep 2004 B1
6796956 Hartlaub et al. Sep 2004 B2
6799149 Hartlaub Sep 2004 B2
6809653 Mann et al. Oct 2004 B1
6811534 Bowman, IV et al. Nov 2004 B2
6816605 Rowe et al. Nov 2004 B2
6839753 Biondi et al. Jan 2005 B2
6852104 Blomquist Feb 2005 B2
6859134 Heiman et al. Feb 2005 B1
6871211 Labounty et al. Mar 2005 B2
6873268 Lebel et al. Mar 2005 B2
6876303 Reeder et al. Apr 2005 B2
6885881 Leonhardt Apr 2005 B2
6891525 Ogoro May 2005 B2
6899695 Herrera May 2005 B2
6915170 Engleson et al. Jul 2005 B2
6923763 Kovatchev et al. Aug 2005 B1
6924781 Gelbman Aug 2005 B1
6928338 Buchser et al. Aug 2005 B1
6936029 Mann et al. Aug 2005 B2
6945954 Hochman et al. Sep 2005 B2
6948492 Wemeling et al. Sep 2005 B2
6958677 Carter et al. Oct 2005 B1
6958691 Anderson et al. Oct 2005 B1
6958705 Lebel et al. Oct 2005 B2
6961448 Nichols et al. Nov 2005 B2
6969352 Chiang et al. Nov 2005 B2
6969865 Duchon et al. Nov 2005 B2
6974437 Lebel et al. Dec 2005 B2
6979326 Mann et al. Dec 2005 B2
6980958 Surwit Dec 2005 B1
6985870 Martucci et al. Jan 2006 B2
6986347 Hickle Jan 2006 B2
6997880 Carlebach et al. Feb 2006 B2
6997920 Mann et al. Feb 2006 B2
6998984 Zittrain Feb 2006 B1
7017293 Riley Mar 2006 B2
7025743 Mann et al. Apr 2006 B2
7029455 Flaherty Apr 2006 B2
7038584 Carter May 2006 B2
7060031 Webb et al. Jun 2006 B2
7060059 Keith et al. Jun 2006 B2
7069552 Lindberg et al. Jun 2006 B2
7072725 Bristol et al. Jul 2006 B2
7079035 Bock et al. Jul 2006 B2
7092943 Roese et al. Aug 2006 B2
7096072 Engleson et al. Aug 2006 B2
7099809 Dori Aug 2006 B2
7103419 Engleson et al. Sep 2006 B2
7103578 Beck et al. Sep 2006 B2
7107106 Engleson et al. Sep 2006 B2
7108680 Rohr et al. Sep 2006 B2
7109878 Mann et al. Sep 2006 B2
7117041 Engelson et al. Oct 2006 B2
7136645 Hanson et al. Nov 2006 B2
7137964 Flaherty Nov 2006 B2
7142190 Martinez Nov 2006 B2
7150741 Erickson et al. Dec 2006 B2
7153289 Vasko Dec 2006 B2
7154397 Zerhusen et al. Dec 2006 B2
7156807 Carter et al. Jan 2007 B2
7161484 Tsoukalis et al. Jan 2007 B2
7167755 Seeberger et al. Jan 2007 B2
7167920 Traversat Jan 2007 B2
7171277 Engleson et al. Jan 2007 B2
7171492 Borella et al. Jan 2007 B1
7181493 English et al. Feb 2007 B2
7185288 McKeever Feb 2007 B2
7193514 Ritson Mar 2007 B2
7197025 Chuah Mar 2007 B2
7201734 Hickle Apr 2007 B2
7204823 Estes et al. Apr 2007 B2
7213009 Pestotnik May 2007 B2
7216802 De La Huerga May 2007 B1
7220240 Struys et al. May 2007 B2
7224979 Singhal et al. May 2007 B2
7229430 Hickle et al. Jun 2007 B2
7230529 Ketcherside Jun 2007 B2
7236936 White et al. Jun 2007 B2
7238164 Childers et al. Jul 2007 B2
7247154 Hickle Jul 2007 B2
7248239 Dowling Jul 2007 B2
7250856 Havekost et al. Jul 2007 B2
7255683 Vanderveen et al. Aug 2007 B2
7256888 Staehr et al. Aug 2007 B2
7258534 Fathallah et al. Aug 2007 B2
7263213 Rowe Aug 2007 B2
7267664 Rizzo Sep 2007 B2
7267665 Steil et al. Sep 2007 B2
7275156 Balfanz et al. Sep 2007 B2
7278983 Ireland et al. Oct 2007 B2
7289815 Gfeller et al. Oct 2007 B2
7289948 Mohri Oct 2007 B1
7293107 Hanson et al. Nov 2007 B1
7295119 Rappaport et al. Nov 2007 B2
7295556 Roese et al. Nov 2007 B2
7301451 Hastings Nov 2007 B2
7308300 Toews et al. Dec 2007 B2
7315825 Rosenfeld et al. Jan 2008 B2
7319386 Collins, Jr. et al. Jan 2008 B2
7324000 Zittrain et al. Jan 2008 B2
7327705 Fletcher et al. Feb 2008 B2
7346025 Bryson Mar 2008 B2
7347836 Peterson et al. Mar 2008 B2
7354420 Steil et al. Apr 2008 B2
7369897 Boveja et al. May 2008 B2
7369948 Ferenczi et al. May 2008 B1
7383088 Spinelli et al. Jun 2008 B2
7384410 Eggers et al. Jun 2008 B2
7398183 Holland et al. Jul 2008 B2
7399277 Saidara et al. Jul 2008 B2
7402153 Steil et al. Jul 2008 B2
7420472 Tran Sep 2008 B2
7432807 Schmitt Oct 2008 B2
7343224 DiGianfilippo et al. Nov 2008 B2
7447643 Olson Nov 2008 B1
7454314 Holland et al. Nov 2008 B2
7457804 Uber, III et al. Nov 2008 B2
7464040 Joao Dec 2008 B2
7471994 Ford et al. Dec 2008 B2
7483756 Engleson et al. Jan 2009 B2
7489808 Gerder Feb 2009 B2
7490021 Holland et al. Feb 2009 B2
7490048 Joao Feb 2009 B2
7491187 Van Den Berghe et al. Feb 2009 B2
7523401 Aldridge Apr 2009 B1
7524304 Genosar Apr 2009 B2
7551078 Carlson Jun 2009 B2
7559321 Wermeling et al. Jul 2009 B2
7565197 Haulbrich et al. Jul 2009 B2
7572230 Neumann et al. Aug 2009 B2
7578802 Hickle Aug 2009 B2
7621009 Elhabashy Nov 2009 B2
D606533 De Jong et al. Dec 2009 S
7636718 Steen et al. Dec 2009 B1
7640172 Kuth Dec 2009 B2
7645258 White et al. Jan 2010 B2
7647237 Malave et al. Jan 2010 B2
7662124 Duchon et al. Feb 2010 B2
7668731 Martucci et al. Feb 2010 B2
7671733 McNeal Mar 2010 B2
7678071 Lebel et al. Mar 2010 B2
7687678 Jacobs Mar 2010 B2
7697994 VanDanacker et al. Apr 2010 B2
7698239 Lieuallen Apr 2010 B2
7705727 Pestotnik Apr 2010 B2
7724147 Brown et al. May 2010 B2
7739126 Cave Jun 2010 B1
7746218 Collins, Jr. Jun 2010 B2
7766873 Moberg et al. Aug 2010 B2
7776029 Whitehurst et al. Aug 2010 B2
7776031 Hartlaub et al. Aug 2010 B2
7785313 Mastrototaro Aug 2010 B2
7806852 Jurson Oct 2010 B1
7806886 Kanderian, Jr. et al. Oct 2010 B2
7826981 Goode, Jr. et al. Nov 2010 B2
7835927 Schlotterbeck et al. Nov 2010 B2
7836314 Chieu Nov 2010 B2
7856276 Ripart et al. Dec 2010 B2
7860583 Condurso et al. Dec 2010 B2
7868754 Salvat, Jr. Jan 2011 B2
7871394 Halbert et al. Jan 2011 B2
7886231 Hopermann et al. Feb 2011 B2
7895053 Holland et al. Feb 2011 B2
7896842 Palmroos et al. Mar 2011 B2
7899546 Sieracki et al. Mar 2011 B2
7905710 Wang et al. Mar 2011 B2
7920061 Klein et al. Apr 2011 B2
7933780 de la Huerga Apr 2011 B2
7938796 Moubayed May 2011 B2
7945452 Fathallah et al. May 2011 B2
7974714 Hoffberg Jul 2011 B2
7996241 Zak Aug 2011 B2
8034026 Grant Oct 2011 B2
8038593 Friedman et al. Oct 2011 B2
8048040 Kiani Nov 2011 B2
8060576 Chan et al. Nov 2011 B2
8065161 Howard et al. Nov 2011 B2
8066672 Mandro Nov 2011 B2
8078983 Davis et al. Dec 2011 B2
8082018 Duchon et al. Dec 2011 B2
8082312 Chan et al. Dec 2011 B2
8147448 Sundar et al. Apr 2012 B2
8149131 Blornquist Apr 2012 B2
8169914 Bajpai May 2012 B2
8171094 Chan et al. May 2012 B2
8172798 Hungerford et al. May 2012 B2
8185322 Schroeder et al. May 2012 B2
8195478 Petersen et al. Jun 2012 B2
8206350 Mann et al. Jun 2012 B2
8219413 Martinez et al. Jul 2012 B2
8231578 Fathallah et al. Jul 2012 B2
8234128 Martucci et al. Jul 2012 B2
8267892 Spencer et al. Sep 2012 B2
8271106 Wehba et al. Sep 2012 B2
8287495 Michaud et al. Oct 2012 B2
8291337 Gannin et al. Oct 2012 B2
8298184 DiPerna et al. Oct 2012 B2
8352290 Bartz et al. Jan 2013 B2
8359338 Butterfield et al. Jan 2013 B2
8380536 Howard et al. Feb 2013 B2
8387112 Ranjan et al. Feb 2013 B1
8394077 Jacobson et al. Mar 2013 B2
8403908 Jacobson et al. Mar 2013 B2
8435206 Evans et al. May 2013 B2
8449523 Brukalo et al. May 2013 B2
8452953 Buck et al. May 2013 B2
8453645 Figueiredo et al. Jun 2013 B2
8480648 Burnett et al. Jul 2013 B2
8494879 Davis et al. Jul 2013 B2
8504179 Blomquist Aug 2013 B2
8517990 Teel et al. Aug 2013 B2
8518021 Stewart et al. Aug 2013 B2
8543416 Palmroos et al. Sep 2013 B2
8551038 Tsoukalis et al. Oct 2013 B2
8560345 Wehba et al. Oct 2013 B2
8577692 Silkaitis et al. Nov 2013 B2
8579884 Lanier et al. Nov 2013 B2
8655676 Wehba et al. Feb 2014 B2
8660860 Wehba et al. Feb 2014 B2
8662388 Belkin Mar 2014 B2
8666769 Butler et al. Mar 2014 B2
8700421 Feng et al. Apr 2014 B2
8731960 Butler et al. May 2014 B2
8768719 Wehba et al. Jul 2014 B2
8771251 Ruchti et al. Jul 2014 B2
8777894 Butterfield et al. Jul 2014 B2
8777895 Hsu et al. Jul 2014 B2
8799012 Butler et al. Aug 2014 B2
8876793 Ledford et al. Nov 2014 B2
8922330 Moberg et al. Dec 2014 B2
8936565 Chawla Jan 2015 B2
8952794 Bloomquist et al. Feb 2015 B2
8998100 Halbert et al. Apr 2015 B2
9026370 Rubalcaba et al. May 2015 B2
9069887 Gupta et al. Jun 2015 B2
9089642 Murphy et al. Jul 2015 B2
9114217 Sur et al. Aug 2015 B2
9123077 Silkaitis et al. Sep 2015 B2
9192712 DeBelser et al. Nov 2015 B2
9240002 Hume et al. Jan 2016 B2
9381296 Arrizza et al. Jul 2016 B2
9393362 Cozmi et al. Jul 2016 B2
9498583 Sur et al. Nov 2016 B2
9539383 Kohlbrecher Jan 2017 B2
9572923 Howard et al. Feb 2017 B2
9594875 Arrizza et al. Mar 2017 B2
9604000 Wehba et al. Mar 2017 B2
9641432 Jha et al. May 2017 B2
9649431 Gray et al. May 2017 B2
9662436 Belkin et al. May 2017 B2
9690909 Stewart et al. Jun 2017 B2
9707341 Dumas, III et al. Jul 2017 B2
9724470 Day et al. Aug 2017 B2
9764082 Day et al. Sep 2017 B2
9971871 Arrizza et al. May 2018 B2
9995611 Ruchti et al. Jun 2018 B2
10022498 Ruchti et al. Jul 2018 B2
10042986 Ruchti et al. Aug 2018 B2
10046112 Oruklu et al. Aug 2018 B2
20010013854 Ogoro Aug 2001 A1
20010016056 Westphal et al. Aug 2001 A1
20010031944 Peterson et al. Oct 2001 A1
20010032099 Joao Oct 2001 A1
20010037060 Thompson et al. Nov 2001 A1
20010044731 Coffman et al. Nov 2001 A1
20010051787 Haller et al. Dec 2001 A1
20010056358 Dulong et al. Dec 2001 A1
20020010595 Kapp Jan 2002 A1
20020013723 Mise Jan 2002 A1
20020015018 Shimazu et al. Feb 2002 A1
20020019584 Schulze et al. Feb 2002 A1
20020026103 Norris et al. Feb 2002 A1
20020029776 Blomquist Mar 2002 A1
20020032583 Joao Mar 2002 A1
20020038392 De La Huerga Mar 2002 A1
20020040208 Flaherty et al. Apr 2002 A1
20020040282 Bailey et al. Apr 2002 A1
20020077852 Ford et al. Jun 2002 A1
20020082728 Mueller et al. Jun 2002 A1
20020087115 Hartlaub Jul 2002 A1
20020087116 Hartlaub Jul 2002 A1
20020095486 Bahl Jul 2002 A1
20020103675 Vanelli Aug 2002 A1
20020123905 Goodroe et al. Sep 2002 A1
20020143580 Bristol Oct 2002 A1
20020152239 Bautista-Lloyd et al. Oct 2002 A1
20020169636 Eggers et al. Nov 2002 A1
20020194329 Ailing Dec 2002 A1
20030009244 Engleson Jan 2003 A1
20030013959 Grunwald et al. Jan 2003 A1
20030014222 Klass et al. Jan 2003 A1
20030014817 Gallant Jan 2003 A1
20030025602 Medema Feb 2003 A1
20030028082 Thompson Feb 2003 A1
20030036683 Kehr et al. Feb 2003 A1
20030047126 Tomaschko Mar 2003 A1
20030050621 Lebel et al. Mar 2003 A1
20030059750 Bindler et al. Mar 2003 A1
20030060688 Ciarniello et al. Mar 2003 A1
20030069963 Jayant et al. Apr 2003 A1
20030079746 Hickle May 2003 A1
20030097529 Arimilli et al. May 2003 A1
20030104982 Wittmann et al. Jun 2003 A1
20030106553 Vanderveen Jun 2003 A1
20030114836 Estes Jun 2003 A1
20030115358 Yun Jun 2003 A1
20030120384 Haitin et al. Jun 2003 A1
20030125662 Bui Jul 2003 A1
20030130616 Steil Jul 2003 A1
20030135087 Hickle et al. Jul 2003 A1
20030139701 White et al. Jul 2003 A1
20030140928 Bui et al. Jul 2003 A1
20030140929 Wilkes et al. Jul 2003 A1
20030141981 Bui Jul 2003 A1
20030143746 Sage, Jr. Jul 2003 A1
20030144878 Wilkes et al. Jul 2003 A1
20030158749 Olchanski et al. Aug 2003 A1
20030187338 Say et al. Oct 2003 A1
20030200116 Forrester Oct 2003 A1
20030204416 Acharya Oct 2003 A1
20030204781 Peebles et al. Oct 2003 A1
20030212364 Mann et al. Nov 2003 A1
20030212379 Bylund et al. Nov 2003 A1
20030217962 Childers et al. Nov 2003 A1
20040015132 Brown Jan 2004 A1
20040019607 Moubayed et al. Jan 2004 A1
20040030323 Ullestad et al. Feb 2004 A1
20040039257 Hickle Feb 2004 A1
20040057226 Berthou et al. Mar 2004 A1
20040064341 Langan et al. Apr 2004 A1
20040064342 Browne et al. Apr 2004 A1
20040064435 Moubayed et al. Apr 2004 A1
20040073811 Sanin Apr 2004 A1
20040077934 Massad Apr 2004 A1
20040078231 Wilkes et al. Apr 2004 A1
20040078236 Stoodley et al. Apr 2004 A1
20040104271 Martucci et al. Jun 2004 A1
20040122530 Hansen Jun 2004 A1
20040128162 Schlotterbeck et al. Jul 2004 A1
20040128163 Goodman et al. Jul 2004 A1
20040133441 Brady et al. Jul 2004 A1
20040145480 Despotis Jul 2004 A1
20040147034 Gore et al. Jul 2004 A1
20040167464 Ireland et al. Aug 2004 A1
20040167465 Kohler Aug 2004 A1
20040167804 Simpson Aug 2004 A1
20040172222 Simpson et al. Sep 2004 A1
20040172283 Vanderveen Sep 2004 A1
20040172301 Mihai et al. Sep 2004 A1
20040172302 Martucci et al. Sep 2004 A1
20040176667 Mihai et al. Sep 2004 A1
20040176980 Bulitta et al. Sep 2004 A1
20040176984 White et al. Sep 2004 A1
20040181314 Zaleski Sep 2004 A1
20040189708 Larcheveque et al. Sep 2004 A1
20040193325 Bonderud Sep 2004 A1
20040193328 Butterfield et al. Sep 2004 A1
20040193453 Butterfield et al. Sep 2004 A1
20040204673 Flaherty et al. Oct 2004 A1
20040215278 Stegink et al. Oct 2004 A1
20040220517 Starkweather et al. Nov 2004 A1
20040225252 Gillespie et al. Nov 2004 A1
20040236240 Kraus et al. Nov 2004 A1
20040243438 Mintz Dec 2004 A1
20040254434 Goodnow et al. Dec 2004 A1
20050010269 Lebel et al. Jan 2005 A1
20050020886 Hutchinson et al. Jan 2005 A1
20050021006 Tonnies Jan 2005 A1
20050027560 Cook Feb 2005 A1
20050027567 Taha Feb 2005 A1
20050038311 Kuth Feb 2005 A1
20050038669 Sachdeva et al. Feb 2005 A1
20050038680 McMahon Feb 2005 A1
20050040226 Al-Sheikh Feb 2005 A1
20050043620 Fallows et al. Feb 2005 A1
20050049910 Lancaster et al. Mar 2005 A1
20050055242 Bello et al. Mar 2005 A1
20050055244 Mullan et al. Mar 2005 A1
20050065465 Lebel et al. Mar 2005 A1
20050065817 Mihai et al. Mar 2005 A1
20050075544 Shapiro et al. Apr 2005 A1
20050080801 Kothandaraman et al. Apr 2005 A1
20050086071 Fox, Jr. et al. Apr 2005 A1
20050086072 Fox Apr 2005 A1
20050090808 Malave et al. Apr 2005 A1
20050099624 Staehr May 2005 A1
20050102162 Blumenfeld May 2005 A1
20050102165 Oshita May 2005 A1
20050102669 Marney et al. May 2005 A1
20050107923 Vanderveen May 2005 A1
20050117529 Ramos-Escano Jun 2005 A1
20050119788 Engleson et al. Jun 2005 A1
20050119914 Batch Jun 2005 A1
20050131739 Rabinowitz et al. Jun 2005 A1
20050137522 Aoki Jun 2005 A1
20050137573 McLaughlin Jun 2005 A1
20050154769 Eckart et al. Jul 2005 A1
20050160057 Wefers et al. Jul 2005 A1
20050171503 Van Den Berghe et al. Aug 2005 A1
20050171815 Vanderveen Aug 2005 A1
20050177096 Bollish et al. Aug 2005 A1
20050177395 Blomquist Aug 2005 A1
20050182306 Sloan Aug 2005 A1
20050182355 Bui Aug 2005 A1
20050187950 Parker Aug 2005 A1
20050192557 Brauker et al. Sep 2005 A1
20050197554 Polcha Sep 2005 A1
20050197621 Poulsen et al. Sep 2005 A1
20050210037 Wefers et al. Sep 2005 A1
20050216479 Wefers et al. Sep 2005 A1
20050216480 Wefers et al. Sep 2005 A1
20050223045 Funahashi et al. Oct 2005 A1
20050224083 Crass Oct 2005 A1
20050234746 Funahashi Oct 2005 A1
20050240305 Bogash et al. Oct 2005 A1
20050246416 Blomquist Nov 2005 A1
20050251418 Fox, Jr. et al. Nov 2005 A1
20050273059 Mernoe et al. Dec 2005 A1
20050277873 Stewart et al. Dec 2005 A1
20050277890 Stewart et al. Dec 2005 A1
20050277911 Stewart et al. Dec 2005 A1
20050278194 Holland et al. Dec 2005 A1
20060004772 Hagan et al. Jan 2006 A1
20060009727 O'Mahony et al. Jan 2006 A1
20060009734 Martin Jan 2006 A1
20060010098 Goodnow et al. Jan 2006 A1
20060042139 Mendes Mar 2006 A1
20060047270 Shelton Mar 2006 A1
20060053036 Coffman et al. Mar 2006 A1
20060064020 Burnes et al. Mar 2006 A1
20060074633 Mahesh et al. Apr 2006 A1
20060074920 Wefers et al. Apr 2006 A1
20060079831 Gilbert Apr 2006 A1
20060089854 Holland et al. Apr 2006 A1
20060089855 Holland et al. Apr 2006 A1
20060100746 Leibner-Druska May 2006 A1
20060100907 Holland et al. May 2006 A1
20060106649 Eggers et al. May 2006 A1
20060111943 Wu May 2006 A1
20060116904 Brem Jun 2006 A1
20060116907 Rhodes et al. Jun 2006 A1
20060122481 Sievenpiper et al. Jun 2006 A1
20060122867 Eggers et al. Jun 2006 A1
20060129429 Moubayed et al. Jun 2006 A1
20060129434 Smitherman et al. Jun 2006 A1
20060129435 Smitherman et al. Jun 2006 A1
20060136266 Tarassenko et al. Jun 2006 A1
20060136271 Eggers et al. Jun 2006 A1
20060143051 Eggers et al. Jun 2006 A1
20060173260 Gaoni et al. Aug 2006 A1
20060173406 Hayes et al. Aug 2006 A1
20060173715 Wang et al. Aug 2006 A1
20060190302 Eggers et al. Aug 2006 A1
20060195022 Trepagnier et al. Aug 2006 A1
20060200007 Brockway et al. Sep 2006 A1
20060200369 Batch et al. Sep 2006 A1
20060211404 Cromp et al. Sep 2006 A1
20060224141 Rush et al. Oct 2006 A1
20060229918 Fotsch et al. Oct 2006 A1
20060258985 Russell Nov 2006 A1
20060259327 Hoag Nov 2006 A1
20060264895 Flanders Nov 2006 A1
20060265246 Hoag Nov 2006 A1
20060267753 Hussey et al. Nov 2006 A1
20060268710 Appanna et al. Nov 2006 A1
20060277206 Bailey et al. Dec 2006 A1
20060287885 Frick Dec 2006 A1
20070015972 Wang et al. Jan 2007 A1
20070016443 Wachman et al. Jan 2007 A1
20070027506 Stender et al. Feb 2007 A1
20070060796 Kim Mar 2007 A1
20070060870 Tolle et al. Mar 2007 A1
20070060871 Istoc Mar 2007 A1
20070065363 Dalal et al. Mar 2007 A1
20070073419 Sesay Mar 2007 A1
20070078314 Grounsell Apr 2007 A1
20070083870 Kanakogi Apr 2007 A1
20070088333 Levin et al. Apr 2007 A1
20070093786 Goldsmith et al. Apr 2007 A1
20070100665 Brown May 2007 A1
20070100667 Bardy May 2007 A1
20070106126 Mannheimer et al. May 2007 A1
20070112298 Mueller et al. May 2007 A1
20070116037 Moore May 2007 A1
20070118405 Campbell et al. May 2007 A1
20070135866 Baker Jun 2007 A1
20070136098 Smythe et al. Jun 2007 A1
20070142822 Remde Jun 2007 A1
20070156282 Dunn Jul 2007 A1
20070156452 Batch Jul 2007 A1
20070169008 Varanasi et al. Jul 2007 A1
20070179448 Lim et al. Aug 2007 A1
20070186923 Poutiatine et al. Aug 2007 A1
20070191817 Martin Aug 2007 A1
20070191973 Holzbauer et al. Aug 2007 A1
20070213598 Howard et al. Sep 2007 A1
20070213657 Jennewine et al. Sep 2007 A1
20070214003 Holland et al. Sep 2007 A1
20070215545 Bissler et al. Sep 2007 A1
20070229249 McNeal et al. Oct 2007 A1
20070232867 Hansmann Oct 2007 A1
20070233035 Wehba et al. Oct 2007 A1
20070233049 Wehba et al. Oct 2007 A1
20070233206 Frikart Oct 2007 A1
20070233520 Wehba et al. Oct 2007 A1
20070251835 Mehta et al. Nov 2007 A1
20070253021 Mehta et al. Nov 2007 A1
20070254593 Jollota et al. Nov 2007 A1
20070255125 Moberg et al. Nov 2007 A1
20070257788 Carlson Nov 2007 A1
20070258395 Jollota et al. Nov 2007 A1
20070299687 Palmer et al. Dec 2007 A1
20070299695 Jung et al. Dec 2007 A1
20080004904 Tran Jan 2008 A1
20080009684 Corsetti et al. Jan 2008 A1
20080033361 Evans et al. Feb 2008 A1
20080034323 Blomquist Feb 2008 A1
20080041942 Aissa Feb 2008 A1
20080052704 Wysocki Feb 2008 A1
20080065007 Peterson et al. Mar 2008 A1
20080065417 Jung et al. Mar 2008 A1
20080071217 Moubayed et al. Mar 2008 A1
20080071251 Moubayed et al. Mar 2008 A1
20080091466 Butler et al. Apr 2008 A1
20080095339 Elliott Apr 2008 A1
20080097289 Steil et al. Apr 2008 A1
20080126969 Blomquist May 2008 A1
20080139907 Rao et al. Jun 2008 A1
20080149117 Raghuram Jun 2008 A1
20080154177 Moubayed et al. Jun 2008 A1
20080172337 Banfield et al. Jul 2008 A1
20080184219 Matsumoto Jul 2008 A1
20080188796 Steil et al. Aug 2008 A1
20080200870 Palmroos et al. Aug 2008 A1
20080214919 Harmon et al. Sep 2008 A1
20080243055 Fathallah et al. Oct 2008 A1
20080246748 Cassidy et al. Oct 2008 A1
20080256305 Kwon Oct 2008 A1
20080262469 Bristol et al. Oct 2008 A1
20080269714 Mastrototaro et al. Oct 2008 A1
20080269723 Mastrototaro et al. Oct 2008 A1
20080275384 Mastrototaro et al. Nov 2008 A1
20080300572 Rankers et al. Dec 2008 A1
20080320387 Sasaki et al. Dec 2008 A1
20080320466 Dias Dec 2008 A1
20090005703 Fasciano Jan 2009 A1
20090005728 Weinert et al. Jan 2009 A1
20090006061 Thukral et al. Jan 2009 A1
20090006129 Thukral Jan 2009 A1
20090006133 Weinert Jan 2009 A1
20090018495 Panduro Jan 2009 A1
20090051560 Manning et al. Feb 2009 A1
20090054743 Stewart Feb 2009 A1
20090054754 McMahon et al. Feb 2009 A1
20090057399 Sajkowsky Mar 2009 A1
20090069785 Miller et al. Mar 2009 A1
20090099867 Newman Apr 2009 A1
20090135196 Holland et al. May 2009 A1
20090143662 Estes et al. Jun 2009 A1
20090149743 Barron et al. Jun 2009 A1
20090150174 Buck et al. Jun 2009 A1
20090156991 Roberts Jun 2009 A1
20090157695 Roberts Jun 2009 A1
20090158274 Roberts Jun 2009 A1
20090177146 Nesbitt et al. Jul 2009 A1
20090177769 Roberts Jul 2009 A1
20090177992 Rubalcaba et al. Jul 2009 A1
20090183147 Davis et al. Jul 2009 A1
20090209938 Aalto-Setala Aug 2009 A1
20090210250 Prax et al. Aug 2009 A1
20090221890 Saffer et al. Sep 2009 A1
20090231249 Wang et al. Sep 2009 A1
20090270833 DeBelser Oct 2009 A1
20090275886 Bloomquist et al. Nov 2009 A1
20090275896 Kamen et al. Nov 2009 A1
20090284691 Marhefka et al. Nov 2009 A1
20090326340 Wang Dec 2009 A1
20090326516 Bangera et al. Dec 2009 A1
20100022988 Wochner Jan 2010 A1
20100036310 Hillman Feb 2010 A1
20100056992 Hayter Mar 2010 A1
20100095229 Dixon et al. Apr 2010 A1
20100121170 Rule May 2010 A1
20100121415 Skelton et al. May 2010 A1
20100121654 Portnoy et al. May 2010 A1
20100130933 Holland et al. May 2010 A1
20100131434 Magent et al. May 2010 A1
20100138523 Umess et al. Jun 2010 A1
20100146137 Wu et al. Jun 2010 A1
20100156633 Buck et al. Jun 2010 A1
20100160854 Gauthier Jun 2010 A1
20100160860 Celentano et al. Jun 2010 A1
20100191525 Rabenko et al. Jul 2010 A1
20100198034 Thomas et al. Aug 2010 A1
20100198196 Wei Aug 2010 A1
20100200506 Ware et al. Aug 2010 A1
20100212675 Walling et al. Aug 2010 A1
20100217621 Schoenberg Aug 2010 A1
20100234708 Buck et al. Sep 2010 A1
20100250732 Bucknell Sep 2010 A1
20100271479 Heydlauf Oct 2010 A1
20100273738 Valcke et al. Oct 2010 A1
20100280486 Khair et al. Nov 2010 A1
20100292634 Kircher Nov 2010 A1
20100298765 Budiman et al. Nov 2010 A1
20100318025 John Dec 2010 A1
20110001605 Kiani et al. Jan 2011 A1
20110040158 Katz et al. Feb 2011 A1
20110060758 Schlotterbeck et al. Mar 2011 A1
20110071844 Cannon et al. Mar 2011 A1
20110072379 Gannon Mar 2011 A1
20110078608 Gannon et al. Mar 2011 A1
20110093284 Dicks et al. Apr 2011 A1
20110099313 Bolanowski Apr 2011 A1
20110125095 Lebel et al. May 2011 A1
20110175728 Baker, Jr. Jul 2011 A1
20110178462 Moberg et al. Jul 2011 A1
20110231216 Fyke et al. Sep 2011 A1
20110257496 Terashima et al. Oct 2011 A1
20110257798 Ali et al. Oct 2011 A1
20110259954 Bartz et al. Oct 2011 A1
20110264043 Kotnick et al. Oct 2011 A1
20110264044 Bartz et al. Oct 2011 A1
20110266221 Ware et al. Nov 2011 A1
20110270045 Lebel et al. Nov 2011 A1
20110275904 Lebel et al. Nov 2011 A1
20110286457 Ee Nov 2011 A1
20110289497 Kiaie et al. Nov 2011 A1
20110295196 Chazot et al. Dec 2011 A1
20110295341 Estes et al. Dec 2011 A1
20110296051 Vange Dec 2011 A1
20110296411 Tang et al. Dec 2011 A1
20110313789 Karmen et al. Dec 2011 A1
20110319813 Kamen et al. Dec 2011 A1
20110320049 Chossat et al. Dec 2011 A1
20120011253 Friedman et al. Jan 2012 A1
20120016305 Jollota Jan 2012 A1
20120029941 Malave et al. Feb 2012 A1
20120070045 Vesper et al. Mar 2012 A1
20120095437 Hemmerling Apr 2012 A1
20120112903 Kaib et al. May 2012 A1
20120130198 Beaule May 2012 A1
20120130308 Silkaitis et al. May 2012 A1
20120143116 Ware et al. Jun 2012 A1
20120150556 Galasso et al. Jun 2012 A1
20120179135 Rinehart et al. Jul 2012 A1
20120179136 Rinehart et al. Jul 2012 A1
20120203177 Lanier Aug 2012 A1
20120245554 Kawamura Sep 2012 A1
20120259978 Petersen et al. Oct 2012 A1
20120277716 Ali et al. Nov 2012 A1
20120284734 McQuaid et al. Nov 2012 A1
20120323212 Murphy Dec 2012 A1
20130006666 Schneider Jan 2013 A1
20130006702 Wu Jan 2013 A1
20130012880 Blomquist Jan 2013 A1
20130015980 Evans et al. Jan 2013 A1
20130035633 Chawla Feb 2013 A1
20130036403 Geist Feb 2013 A1
20130036412 Birtwhistle et al. Feb 2013 A1
20130066265 Grant Mar 2013 A1
20130072872 Yodfat et al. Mar 2013 A1
20130085689 Sur et al. Apr 2013 A1
20130096444 Condurso et al. Apr 2013 A1
20130096648 Benson Apr 2013 A1
20130102963 Marsh et al. Apr 2013 A1
20130138452 Cork et al. May 2013 A1
20130144206 Lee et al. Jun 2013 A1
20130158504 Ruchti et al. Jun 2013 A1
20130167245 Birtwhistle et al. Jun 2013 A1
20130191770 Bartz et al. Jul 2013 A1
20130204188 Kamen et al. Aug 2013 A1
20130218080 Peterfreund et al. Aug 2013 A1
20130261993 Ruchti et al. Oct 2013 A1
20130274669 Stempfle et al. Oct 2013 A1
20130275539 Gross et al. Oct 2013 A1
20130291116 Homer Oct 2013 A1
20130296823 Melker et al. Nov 2013 A1
20130296984 Burnett et al. Nov 2013 A1
20140039446 Day Feb 2014 A1
20140257251 Bush et al. Sep 2014 A1
20140266790 Al-Ali et al. Sep 2014 A1
20140269643 Sun Sep 2014 A1
20140350513 Oruklu et al. Nov 2014 A1
20140358077 Oruklu et al. Dec 2014 A1
20140366878 Baron Dec 2014 A1
20150005935 Bae et al. Jan 2015 A1
20150058044 Butler et al. Feb 2015 A1
20150066531 Jacobson et al. Mar 2015 A1
20150100038 McCann et al. Apr 2015 A1
20150134265 Kohlbrecher et al. May 2015 A1
20150141955 Ruchti et al. May 2015 A1
20150151051 Tsoukalis Jun 2015 A1
20150379237 Mills et al. Dec 2015 A1
20160051749 Istoc Feb 2016 A1
20160103960 Hume et al. Apr 2016 A1
20160228633 Welsch et al. Aug 2016 A1
20160350513 Jacobson et al. Dec 2016 A1
20170024534 Arrizza et al. Jan 2017 A1
20170246388 Kohlbrecher Aug 2017 A1
20170274140 Howard et al. Sep 2017 A1
20170286637 Arrizza et al. Oct 2017 A1
20170319780 Belkin et al. Nov 2017 A1
20170331735 Jha et al. Nov 2017 A1
20180008772 Wehba et al. Jan 2018 A1
20180028742 Day et al. Feb 2018 A1
20180043094 Day et al. Feb 2018 A1
Foreign Referenced Citations (128)
Number Date Country
2 060 151 Aug 1997 CA
2 125 300 Oct 1999 CA
31 12 762 Jan 1983 DE
34 35 647 Jul 1985 DE
19932147 Jul 1999 DE
198 44 252 Mar 2000 DE
103 52 456 Jul 2005 DE
0 319 267 Jun 1989 EP
0 380 061 Aug 1990 EP
0 384 155 Aug 1990 EP
0 460 533 Dec 1991 EP
0 564 127 Jun 1993 EP
0 633 035 Jan 1995 EP
0 652 528 May 1995 EP
0 672 427 Sep 1995 EP
0683465 Nov 1995 EP
0880936 Dec 1998 EP
1 157 711 Nov 2001 EP
1 174 817 Jan 2002 EP
0 664 102 Apr 2002 EP
1197178 Apr 2002 EP
0 830 775 Aug 2002 EP
1 500 025 Apr 2003 EP
2 113 842 Nov 2009 EP
2 228 004 Sep 2010 EP
2 243 506 Oct 2010 EP
2 410 448 Jan 2012 EP
2 742 961 Jun 2014 EP
2717919 Mar 1994 FR
2 285 135 Jun 1995 GB
04-161139 Jun 1992 JP
H07-502678 Mar 1995 JP
11-500643 Jan 1999 JP
2000-316820 Nov 2000 JP
2002-531154 Sep 2002 JP
2003-016183 Jan 2003 JP
2003-296173 Oct 2003 JP
2005-021463 Jan 2005 JP
2005-527284 Sep 2005 JP
2005-284846 Oct 2005 JP
2006-047319 Feb 2006 JP
2006-520949 Sep 2006 JP
2007-511287 May 2007 JP
2007-518479 Jul 2007 JP
2008-516303 May 2008 JP
2008-158622 Jul 2008 JP
2008-529675 Aug 2008 JP
2009-163534 Jul 2009 JP
2010-502361 Jan 2010 JP
2012-070991 Apr 2012 JP
WO 84001719 May 1984 WO
WO 91016416 Oct 1991 WO
WO 92010985 Jul 1992 WO
WO 92013322 Aug 1992 WO
WO 94005355 Mar 1994 WO
9608755 Mar 1996 WO
WO 96025186 Aug 1996 WO
9812670 Mar 1998 WO
9819263 May 1998 WO
9951003 Oct 1999 WO
WO 00013580 Mar 2000 WO
WO 00053243 Sep 2000 WO
0114974 Mar 2001 WO
0133484 May 2001 WO
WO 01045014 Jun 2001 WO
WO 02005702 Jan 2002 WO
WO 02036044 May 2002 WO
WO 02049153 Jun 2002 WO
WO 02049279 Jun 2002 WO
WO 02069099 Sep 2002 WO
WO 02081015 Oct 2002 WO
WO 02088875 Nov 2002 WO
WO 03006091 Jan 2003 WO
WO 03050917 Jun 2003 WO
WO 03091836 Nov 2003 WO
WO 03094092 Nov 2003 WO
WO 2004060455 Jul 2004 WO
WO 2004070557 Aug 2004 WO
WO 2004070562 Aug 2004 WO
WO 2004072828 Aug 2004 WO
WO 2005036447 Apr 2005 WO
WO 2005050526 Jun 2005 WO
WO 2005057175 Jun 2005 WO
WO 2005066872 Jul 2005 WO
WO 2007087443 Aug 2007 WO
WO 2007117705 Oct 2007 WO
WO 2007127879 Nov 2007 WO
WO 2007127880 Nov 2007 WO
WO 2008057729 May 2008 WO
WO 2008067245 Jun 2008 WO
WO 2008082854 Jul 2008 WO
WO 2008088490 Jul 2008 WO
WO 2008097316 Aug 2008 WO
WO 2008103915 Aug 2008 WO
WO 2008124478 Oct 2008 WO
WO 2008134146 Nov 2008 WO
WO 2009016504 Feb 2009 WO
WO 2009023406 Feb 2009 WO
WO 2009023407 Feb 2009 WO
WO 2009023634 Feb 2009 WO
WO 2009036327 Mar 2009 WO
WO 2009049252 Apr 2009 WO
WO 2010017279 Feb 2010 WO
WO 2010033919 Mar 2010 WO
WO 2010053703 May 2010 WO
WO 2010075371 Jul 2010 WO
WO 2010099313 Sep 2010 WO
WO 2010114929 Oct 2010 WO
WO 2010119409 Oct 2010 WO
WO 2010124127 Oct 2010 WO
WO 2010130992 Nov 2010 WO
WO 2010135646 Nov 2010 WO
WO 2010135654 Nov 2010 WO
WO 2010135686 Nov 2010 WO
WO 2011005633 Jan 2011 WO
WO 2011022549 Feb 2011 WO
WO 2012048833 Apr 2012 WO
WO 2012049214 Apr 2012 WO
WO 2012049218 Apr 2012 WO
WO 2012120078 Sep 2012 WO
WO 2012140547 Oct 2012 WO
WO 2012164556 Dec 2012 WO
WO 2012170942 Dec 2012 WO
WO 2013045506 Apr 2013 WO
WO 2014100736 Jun 2014 WO
WO 2014131729 Sep 2014 WO
WO 2014131730 Sep 2014 WO
WO 2017176928 Oct 2017 WO
Non-Patent Literature Citations (110)
Entry
Akridge, Jeannie, “New Pumps Outsmart User Error”, Healthcare Purchasing News, Apr. 2011, pp. 10, http://web.archive.org/web/20110426122450/http://www.hpnonline.com/inside/2011-04/1104-OR-Pumps.html.
Alur et al., “Formal Specifications and Analysis of the Computer-Assisted Resuscitation Algorithm (CARA) Infusion Pump Control System”, International Journal on Software Tools for Technology Transfer, Feb. 2004, vol. 5, No. 4, pp. 308-319.
Aragon, Daleen RN, Ph.D., CCRN, “Evaluation of Nursing Work Effort and Perceptions About Blood Glucose Testing in Tight Glycemic Control”, American Journal of Critical Care, Jul. 2006, vol. 15, No. 4, pp. 370-377.
ASHP Advantage, “Improving Medication Safety in Health Systems Through Innovations in Automation Technology”, Proceedings of Educational Symposium and Educational Sessions during the 39th ASHP Midyear Clinical Meeting, Dec. 5-9, 2004, Orlando, FL, pp. 28.
Beard et al., “Total Quality Pain Management: History, Background, Resources”, Abbott Laboratories, TQPM Survey History, available Feb. 2015 or earlier, pp. 1-3.
Bektas et al., “Bluetooth Communication Employing Antenna Diversity”, Proceedings of Eight IEEE International Symposium on Computers and Communication, Jul. 2003, pp. 6.
Bequette, Ph.D., “A Critical Assessment of Algorithms and Challenges in the Development of a Closed-Loop Artificial Pancreas”, Diabetes Technology & Therapeutics, Feb. 28, 2005, vol. 7, No. 1, pp. 28-47.
Bequette, B. Wayne, Ph.D., “Analysis of Algorithms for Intensive Care Unit Blood Glucose Control”, Journal of Diabetes Science and Technology, Nov. 2007, vol. 1, No. 6, pp. 813-824.
Braun, “Infusomat® Space and Accessories”, Instructions for Use, Nov. 2010, pp. 68. http://corp.bbraun.ee/Extranet/infusioonipumbad/Kasutusjuhendid/Vanad/Kasutusjuhend-Infusomat_Space(vers688J.inglise_k).pdf.
Brownlee, Seth, “Product Spotlight: The Plum A+ with Hospira MedNet Infusion System”, PP&P Magazine, Dec. 2005, vol. 2, No. 7, pp. 2.
Cannon, MD et al., “Automated Heparin-Delivery System to Control Activated Partial Thromboplastin Time”, Circulation, Feb. 16, 1999, vol. 99, pp. 751-756.
Cardinal Health, “Alaris® Syringe Pumps” Technical Service Manual, Copyright 2002-2006, Issue 9, pp. 1-88, http://www.frankshospitalworkshop.com/equipment/documents/infusion_pumps/service_manuals/Cardinal_Alaris - Service_Manual.pdf.
“CareAware® Infusion Management”, Cerner Store, as printed May 12, 2011, pp. 3, https://store.cerner.com/items/7.
Crawford, Anne J., MSN, RNC, “Building a Successful Quality Pain Service: Using Patient Satisfaction Data and the Clinical Practice Guideline”, USA, 1995, pp. 1-6.
Crocker et al., “Augmented BNF for Syntax Specifications: ABNF”, Network Working Group, Standards Track, Jan. 2008, pp. 16.
Davidson et al., “A Computer-Directed Intravenous Insulin System Shown to be Safe, Simple, and Effective in 120,618 h of Operation”, Diabetes Care, Oct. 2005, vol. 28, No. 10, pp. 2418-2423.
Davies, T., “Cordless Data Acquisition in a Hospital Environment”, IEE Colloquium on Cordless Computing—Systems and User Experience, 1993, pp. 4.
Dayhoff et al., “Medical Data Capture and Display: The Importance of Clinicians' Workstation Design”, AMIA, Inc., 1994, pp. 541-545.
Diabetes Close Up, Close Concerns AACE Inpatient Management Conference Report, Consensus Development Conference on Inpatient Diabetes and Metabolic Control, Washington, D.C., Dec. 14-16, 2003, pp. 1-32.
East PhD et al., “Digital Electronic Communication Between ICU Ventilators and Computers and Printers”, Respiratory Care, Sep. 1992, vol. 37, No. 9, pp. 1113-1122.
Einhorn, George W., “Total Quality Pain Management: A Computerized Quality Assessment Tool for Postoperative Pain Management”, Abbott Laboratories, Chicago, IL, Mar. 2, 2000, pp. 1-4.
Philips, “IntelliSpace Event Management and IntelliVue Patient Monitoring”, Release 10, 2011, http://incenter.medical.philips.com/doclib/enc/fetch/2000/4504/577242/577243/577247/582646/583147/8359175/Philips_Patient_Monitoring_and_IntelliSpace_Event_Management_interoperability.pdf%3fnodeid%3d8508574%26vernum%3d-2, pp. 2.
Felleiter et al., “Data Processing in Prehospital Emergency Medicine”, International journal of Clinical Monitoring and Computing, Feb. 1995, vol. 12, No. 1, pp. 37-41.
Fogt et al., Development and Evaluation of a Glucose Analyzer for a Glucose-Controlled Insulin Infusion System (Biostator®), Clinical Chemistry, 1978, vol. 24, No. 8, pp. 1366-1372.
Gage et al., “Automated Anesthesia Surgery Medical Record System”, International Journal of Clinical Monitoring and Computing, Dec. 1990, vol. 7, No. 4, pp. 259-263.
Galt et al., “Personal Digital Assistant-Based Drug Information Sources: Potential to Improve Medication safety”, Journal of Medical Library Association, Apr. 2005, vol. 93, No. 2, pp. 229-236.
Gardner, Ph.D. et al., “Real Time Data Acquisition: Recommendations for the Medical Information Bus (MIB)”, 1992, pp. 813-817.
Givens et al., “Exploring the Internal State of User Interfaces by Combining Computer Vision Techniques with Grammatical Inference”, Proceedings of the 2013 International Conference on Software Engineering, San Francisco, CA, May 18-26, 2013, pp. 1165-1168.
Glaeser, “A Hierarchical Minicomputer System for Continuous Post-Surgical Monitoring”, Computers and Biomedical Research, Aug. 31, 1975, pp. 336-361.
Goldberg et al., “Clinical Results of an Updated Insulin Infusion Protocol in Critically Ill Patients”, Diabetes Spectrum, 2005, vol. 18, No. 3, pp. 188-191.
Gomez et al., “CLAM: Connection-Less, Lightweight, and Multiway Communication Support for Distributed Computing”, Computer Science, 1997, vol. 1199, pp. 227-240.
“GPS Tracker for Medical Equipment”, http://www.trackingsystem.com/forbusinesses/corporate-trackingsystem/1098-gps-tracker-formedicalequipment.html, Mar. 15, 2015, pp. 2.
Graseby, “Model 3000/500 and Micro 3100/505: Volumetric Infusion Pump”, Technical Service Manual, Graseby Medical Ltd., Apr. 2002, Issue A, pp. 160.
Graseby, “Model 3000/500 and Micro 3100/505: Volumetric Infusion Pump: Illustrated Parts List for Pump Serial Nos. from 3000 to 59,999”, Technical Service Manual, Graseby Medical Ltd., Apr. 2002, Issue A, pp. 71.
Halpern et al., “Changes in Critical Care Beds and Occupancy in the United States 1985-2000: Differences Attributable to Hospital Size”, Critical Care Medical, Aug. 2006, vol. 34, No. 8, pp. 2105-2112.
Hamann et al., “PUMPSIM: A Software Package for Simulating Computer-Controlled Drug Infusion Pumps”, Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1990, vol. 12, No. 5, pp. 2019-2020.
Hasegawa et al., “On a Portable Memory Device for Physical Activities and Informations of Maternal Perception”, Journal of Perinatal Medicine, 1988, vol. 16, No. 4, pp. 349-356.
Hawley et al., “Clinical Implementation of an Automated Medical Information Bus in an Intensive Care Unit”, Proceedings of the Annual Symposium on Computer Application in Medical Care, Nov. 9, 1988, pp. 621-624.
Hayes-Roth et al., “Guardian: A Prototype Intelligent Agent for Intensive-Care Monitoring”, Artificial Intelligence in Medicine, vol. 4, Dec. 31, 1992, pp. 165-185.
Hospira, GemStar® Pain Management Infusion System 9-084-PR1-2-2, www.hospira.com/products/gemstar_painmanagement.aspx, Jan. 28, 2010, pp. 1-2.
Introducing Abbott TQPM (Total Quality Pain Management), Abbott Laboratories, Abbott Park, IL, May 2000, pp. 1-4.
Isaka et al., “Control Strategies for Arterial Blood Pressure Regulation”, IEEE Transactions on Biomedical Engineering, Apr. 1993, vol. 40, No. 4, pp. 353-363.
Johnson et al., “Using BCMA Software to Improve Patient Safety in Veterans Administration Medical Centers”, Journal of Healthcare Information Management, Dec. 6, 2004, vol. 16, No. 1, pp. 46-51.
Kent Displays, “Reflex™ Electronic Skins”, Product Brief 25127B, 2009, pp. 2.
Kent Displays, “Reflex Electronic Skins Engineering Evaluation Kit”, 25136A, Mar. 10, 2009.
Lefkowitz et al., “A Trial of the Use of Bar Code Technology to Restructure a Drug Distribution and Administration System”, Hospital Pharmacy, Mar. 31, 1991, vol. 26, No. 3, pp. 239-242.
Lenssen et al., “Bright Color Electronic Paper Technology and Applications”, IDS '09 Publication EP1-2 (Phillips Research), 2009, pp. 529-532.
Leveson, Nancy, “Medical Devices: The Therac-25”, Appendix A, University of Washington, 1995, pp. 49.
Linkens, D.A. “Computer Control for Patient Care”, Computer Control of Real-Time Processes, IEE Control Engineering Series 41, 1990, Ch. 13, pp. 216-238.
Mako Hill et al., “The Official Ubuntu Book”, Shoeisha Co., Ltd., 1st Edition, Jun. 11, 2007, pp. 115 to 125.
Marshall, et al., “New Microprocessor-Based Insulin Controller”, IEEE Transactions on Biomedical Engineering, Nov. 1983, vol. BME-30, No. 11, pp. 689-695.
Martino et al., “Automation of a Medical Intensive Care Environment with a Flexible Configuration of Computer Systems”, Proceedings of the Annual Symposium on Computer Application in Medical Care, Nov. 5, 1980, vol. 3, pp. 1562-1568.
Matsunaga et al., “On the Use of Machine Learning to Predict the Time and Resources Consumed by Applications”, 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (CCGrid), May 17-20, 2010, pp. 495-504.
Mauseth et al., “Proposed Clinical Application for Tuning Fuzzy Logic Controller of Artificial Pancreas Utilizing a Personalization Factor”, Journal of Diabetes Science and Technology, Jul. 2010, vol. 4, No. 4, pp. 913-922.
Medfusion™, “Medfusion Syringe Infusion Pump Model 4000”, Operator's Manual, Software Version V1.1, Sep. 2011, pp. 154. http://www.medfusionpump.com/assets/literature/manuals/Operators_Manual_4000_40-5760-51A.pdf.
Metnitz et al., “Computer Assisted Data Analysis in Intensive Care: the ICDEV Project-Development of a Scientific Database System for Intensive Care”, International Journal of Clinical Monitoring and Computing, Aug. 1995, vol. 12, No. 3, pp. 147-159.
Micrel Medical Devices, “MP Daily +” http://web.archive.org/web/20130803235715/http://www.micrelmed.com/index.aspx?productid-9 as archived Aug. 3, 2013 in 1 page.
Moghissi, Etie, MD, FACP, FACE, “Hyperglycemia in Hospitalized Patients”, A Supplement to ACP Hospitalist, Jun. 15, 2008, pp. 32.
Murray, Jr. et al., “Automated Drug Identification System (during surgery)”, IEEE Proceedings of Southeastcon '91, Apr. 7-10, 1991, pp. 265.
Nicholson et al., “‘Smart’ Infusion Apparatus for Computation and Automated Delivery of Loading, Tapering, and Maintenance Infusion Regimens of Lidocaine, Procainamide, and Theophylline”, Proceedings of the Seventh Annual Symposium on Computer Applications in Medical Care, Oct. 1983, pp. 212-213.
Nolan et al., “The P1073 Medical Information Bus Standard: Overview and Benefits for Clinical Users”, 1990, pp. 216-219.
Omnilink Systems, Inc., “Portable Medical Equipment Tracking”, http://www.omnilink.com/portablemedicalequipmenttracking/, Mar. 15, 2015, pp. 2.
O'Shea, Kristen L., “Infusion Management: Working Smarter, Not Harder”, Hospital Pharmacy, Apr. 2013, vol. 48, No. 3, pp. S1-S14.
Package Management in Debian GNU/Linux, Debian GNU/Linux Expert Desktop Use Special, Giutsu-Hyohron Co., Ltd., First Edition, Sep. 25, 2004, pp. 183-185.
Passos et al., “Distributed Software Platform for Automation and Control of General Anaesthesia”, Eighth International Symposium on Parallel and Distributed Computing, ISPDC '09, Jun. 30-Jul. 4, 2009, pp. 8.
Pretty et al., “Hypoglycemia Detection in Critical Care Using Continuous Glucose Monitors: An in Silico Proof of Concept Analysis”, Journal of Diabetes Science and Technology, Jan. 2010, vol. 4, No. 1, pp. 15-24.
Rappoport, Arthur E., “A Hospital Patient and Laboratory machine-Readable Identification System (MRIS) Revisited”, Journal of Medical Systems, Apr. 1984, vol. 8, Nos. 1/2, pp. 133-156.
Ritchie et al., “A Microcomputer Based Controller for Neuromuscular Block During Surgery”, Annals of Biomedical Engineering, Jan. 1985, vol. 13, No. 1, pp. 3-15.
Saager et al., “Computer-Guided Versus Standard Protocol for Insulin Administration in Diabetic Patients Undergoing Cardiac Surgery”, Annual Meeting of the American Society of Critical Care Anesthesiologists, Oct. 13, 2006.
Sanders et al., “The Computer in a Programmable Implantable Medication System (PIMS)”, Proceedings of the Annual Symposium on Computer Application in Medical Care, Nov. 2, 1982, pp. 682-685.
Schilling et al., “Optimizing Outcomes! Error Prevention and Evidence-Based Practice with IV Medications”, A Pro-Ce Publication, Hospira, Inc., Feb. 6, 2012, pp. 56.
Schulze et al., “Advanced Sensors Technology Survey”, Final Report, Feb. 10, 1992, pp. 161.
Scott, et al., “Using Bar-Code Technology to Capture Clinical Intervention Data in a Hospital with a Stand-Alone Pharmacy Computer System”, Mar. 15, 1996, American Journal of Health-System Pharmacy, vol. 53, No. 6, pp. 651-654.
Sebald et al., “Numerical Analysis of a Comprehensive in Silico Subcutaneous Insulin Absorption Compartmental Model”, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sep. 2-6, 2009, pp. 3901-3904.
Shabot, M. Michael, “Standardized Acquisition of Bedside Data: The IEEE P1073 Medical Information Bus”, International Journal of Clinical Monitoring and Computing, vol. 6, Sep. 27, 1989, pp. 197-204.
Sheppard, Louis, Ph.D., “Automation of the Infusion of Drugs Using Feedback Control”, Journal of Cardiothoracic and Vascular Anesthesia, Feb. 28, 1989, vol. 3, No. 1, pp. 1-3.
Sheppard, Louis, Ph. D. “Computer Control of the Infusion of Vasocactive Drugs”, Annals of Biomedical Engineering, Jul. 1980, vol. 8, No. 4-6, pp. 431-444.
Sheppard, Louis, Ph.D., “The Application of Computers to the Measurement, Analysis, and Treatment of Patients Following Cardiac Surgical Procedures”, The University of Alabama in Birmingham, Oct. 31, 1977, pp. 297-300.
Sheppard, Louis, Ph.D., “The Computer in the Care of Critically Ill Patients”, Proceedings of the IEEE, Sep. 1979, vol. 67, No. 9, pp. 1300-1306.
“SIGMA Spectrum: Operator's Manual”, Oct. 2009, pp. 72. http://static.medonecapital.com/manuals/userManuals/Sigma-Spectrum-Operator-Manual-October-2009.pdf.
Simonsen, Michael Ph.D., POC Testing, New Monitoring Strategies on Fast Growth Paths in European Healthcare Arenas, Biomedical Business & Technology, Jan. 2007, vol. 30, No. 1, pp. 1-36.
Siv-Lee et al., “Implementation of Wireless ‘Intelligent’ Pump IV Infusion Technology in a Not-for-Profit Academic Hospital Setting”, Hospital Pharmacy, Sep. 2007, vol. 42, No. 9, pp. 832-840. http://:www.thomasland.com/hpi4209-832.pdf.
Slack, W.V., “Information Technologies for Transforming Health Care”, https://www.andrew.cmu.edu/course/90-853/medis.dir/otadocs.dir/03ch2.pdf, Ch. 2, 1995, pp. 29-78.
Smith, Joe, “Infusion Pump Informatics”, CatalyzeCare: Transforming Healthcare, as printed May 12, 2011, pp. 2.
Sodder, Lisa, “A Center Keeps Medicine in Right Hands”, Dec. 4, 1999, pp. 1-2.
Stitt, F.W., “The Problem-Oriented Medical Synopsis: a Patient-Centered Clinical Information System”, Proceedings of the Annual Symposium on Computer Application in Medical Care, 1994, pp. 88-92.
Szeinbach et al., “Automated Dispensing Technologies: Effect on Managed Care”, Journal of Managed Care Pharmacy (JMCP), Sep./Oct. 1995, vol. 1, No. 2, pp. 121-127.
Szolovits et al., “Guardian Angel: Patient-Centered Health Information Systems”, Technical Report MIT/LCS/TR-604, Massachusetts Institute of Technology Laboratory for Computer Science, May 1994, pp. 39.
Van Den Berghe, M.D., Ph.D., et al., “Intensive Insulin Therapy in Critically Ill Patients”, The New England Journal of Medicine, Nov. 8, 2001, vol. 345, No. 19, pp. 1359-1367.
Van Den Berghe, M.D., Ph.D., et al., “Intensive Insulin Therapy in the Medical ICU”, The New England Journal of Medicine, Feb. 2, 2006, vol. 354, No. 5, pp. 449-461.
Van Der Maas et al., “Requirements for Medical Modeling Languages”, Journal of the American Medical Informatics Association, Mar./Apr. 2001, vol. 8, No. 2, pp. 146-162.
Villalobos et al., “Computerized System in Intensive Care medicine”, Medical Informatics, vol. 11, No. 3, 1986, pp. 269-275.
Wilkins et al., “A Regular Language: The Annotated Case Report Form”, PPD Inc., PharmaSUG2011—Paper CD18, 2011, pp. 1-9.
Ying et al., “Regulating Mean Arterial Pressure in Postsurgical Cardiac Patients. A Fuzzy Logic System to Control Administration of Sodium Nitroprusside”, IEEE Engineering in Medicine and Biology Magazine, vol. 13, No. 5, Nov.-Dec. 1994, pp. 671-677.
Yue, Ying Kwan, “A Healthcare Failure Mode and Effect Analysis on the Safety of Secondary Infusions”, Thesis, Institute of Biomaterials and Biomedical Engineering, University of Toronto, 2012, pp. 168.
Yurkonis et al., “Computer Simulation of Adaptive Drug Infusion”, IEEE Transactions on Biomedical Engineering, vol. BME-34, No. 8, Aug. 1987, pp. 633-635.
Zakariah et al., “Combination of Biphasic Transmittance Waveform with Blood Procalcitonin Levels for Diagnosis of Sepsis in Acutely Ill Patients”, Critical Care Medicine, 2008, vol. 36, No. 5, pp. 1507-1512.
International Preliminary Report on Patentability and Written Opinion received in PCT Application No. PCT/US2004/037900, dated May 15, 2006 in 5 pages.
International Search Report and Written Opinion received in PCT Application No. PCT/US2004/033409, dated Sep. 13, 2015 in 11 pages.
General-Purpose Infusion Pumps, Health Devices, Oct. 1, 2002, pp. 353-387, vol. 31, No. 10, ECRI Institute.
Eskew J. A. et al, Using Innovative Technologies to Set New Safety Standards for the Infusion of Intravenous Medications, Hospital Pharmacy, Nov. 1, 2002, pp. 1179-1189, vol. 37, No. 11, Lippincott, Philadelphia, PA.
Stokowski et al, Using Technology to Improve Medication Safety in the Newborn Intensive Care Unit, Advances in Neonatal Care, Dec. 1, 2001, pp. 70-83, vol. 1, No. 2, W. B. Saunders.
European Search Report dated Nov. 23, 2010 for EP 10 18 2287.
International Search Report dated Dec. 3, 2010 for EP 10182326.
Microsoft, “Computer Dictionary, Third Edition”, Microsoft Press, 1997, pp. 430 and 506.
Yen-Cheng Chen et al, “Enabling location-based services on wireless LANs”, Networks, 2003. ICON2003. The 11th IEEE International Conference on Sep. 28-Oct. 1, 2003, Piskataway, NJ, USA, Sep. 28, 2003, pp. 567-572.
“Infusion Pump”, Wikipedia.org, https://web.archive.org/web/20140703024932/https://en.wikipedia.org/wiki/infusion_pump, as last modified Mar. 27, 2014, pp. 3.
International Preliminary Report on Patentability and Written Opinion received in PCT Application No. PCT/US2004/033409, dated Apr. 10, 2006 in 7 pages.
Gabel et al., “Camp: A Common API for Measuring Performance”, 21st Large Installations System Administration Conference (LISA '07), 2007, pp. 49-61.
Sutton et al., “The Syntax and Semantics of the PROforma Guideline Modeling Language”, Journal of the American Medical Informatics Association, Sep./Oct. 2003, vol. 10, No. 5, pp. 433-443.
Related Publications (1)
Number Date Country
20160051751 A1 Feb 2016 US
Provisional Applications (2)
Number Date Country
60527583 Dec 2003 US
60509404 Oct 2003 US
Continuations (1)
Number Date Country
Parent 10783640 Feb 2004 US
Child 14841008 US