The invention relates to sample management. In one aspect, the invention relates to techniques for managing biological samples from point of collection to point of testing, and through disposal.
Laboratories routinely collect biological samples from patients, and transport the samples to examination sites for analysis. From the point-of-collection (POC) site to the point-of-testing (POT) site, each sample is exposed to different conditions. The sample may be subjected to handling by various individuals and equipment and exposed to different conditions from the moment of collection, through transport, reception, analysis and disposal. At the POC site, a patient sample is collected, identified and entered into a database. The sample is then transported via a courier, who often makes multiple stops of picking up and delivering additional samples. The sample is then delivered to a POT site or medical testing laboratory for analysis.
Despite advances in technology and increased point-of-care testing, the vast majority of samples are collected in one place and transported to another for analysis, with handling at any point. Some tests are available only in certain reference POT sites, thereby requiring samples to be transported over long distances. In some instances, transport involves multiple stops, before the sample arrives at the POT. These additional stops further prolong the samples being potentially exposed to uncontrolled environments. Some biological samples have to be kept at a controlled condition to preserve the quality of the samples. For instance, blood samples have to be kept cool to preserve their stability and quality. Sample transport and storage conditions, together with the transport time interval between POC and POT sites, can have an impact on the results of tests performed on the samples. Erroneous test results not only require sample recollection, transport and analysis, they could also cause a healthcare provider to provide wrong diagnosis or treatments. Accordingly, an improved sample management system is needed.
In general, the technology disclosed herein can be used to implement systems and methods maintaining history logs for samples from POC through POT. For example, in a first aspect, the disclosed technology can be used to implement a machine which comprises a sample transport container, one or more environment sensors, a sample manager located at a testing location, and a set of history loggers. In such a machine, the sample transport container can be adapted to store and enable transport of a plurality of sample holders for samples of biological materials collected from patients. The set of environment sensors can be adapted to take measurements one or more characteristics of an environment of the sample transport container. The sample manager located at the testing location may be programmed to, for each sample of biological material transported in the sample transport container, make history logging information for that sample of biological material available at the testing location. Such history logging information may be taken from a set of history logs, each of which is associated with a single sample of biological material with a unique identifier. Such history logs may comprise a set of measurements of the characteristics of the environment of the sample transport container while the associated sample of biological material was in transit, and/or a transit initiation timestamp, wherein the transit initiation timestamp is when the associated sample of biological material was placed into the sample transport container for transit. Additionally, in this type of machine, the history loggers from the set of history loggers may be programmed to receive, for inclusion in the history logs of samples of biological material handled by users of the history loggers, transit data for those samples of biological material.
In a second aspect, a machine such as described in the context of the first aspect could be implemented such that the set of one or more environment sensors adapted to take measurements of one or more characteristics of the environment of the sample transport container comprise one or more pressure sensors adapted to take atmospheric pressure measurements of the environment of the sample transport container, and one or more temperature sensors adapted to take temperature measurements of the environment of the sample transport container. In this aspect, it is also possible that the history logging information the sample manager located at the testing location is programmed to make available at the testing location for a sample of biological material comprises how many individuals have handled the sample of biological material while in transit, duration of time the sample of biological material is in transit, atmospheric pressure the sample of biological material has been exposed to while in transit, and temperature the sample of biological material has been exposed to while in transit.
In a third aspect, a machine such as described in the context of the first or second aspects could be implemented such that the sample manager located at the testing location is programmed to, when a determination of whether a sample of biological material does not conform to a set of requirements for a medical diagnostic test indicates that the sample of biological material does not conform to the set of requirements for the medical diagnostic test, provide an alert. Such an alert could be selected from a group consisting of an instruction to evaluate a result of the medical diagnostic test using a modified evaluation parameter, an instruction to rerun the medical diagnostic test with the sample of biological material one or more times, an instruction to discard the sample of biological material, and an instruction to generate an order to collect another sample to perform the medical diagnostic test.
In a fourth aspect, a machine such as described in the context of the third aspect could be implemented such that the set of one or more environment sensors adapted to take measurements of one or more characteristics of the environment of the sample transport container could comprise one or more pressure sensors adapted to take atmospheric pressure measurements of the environment of the sample transport container, and one or more temperature sensors adapted to take temperature measurements of the environment of the sample transport container. Similarly, a machine implemented according to the fourth aspect could comprise a central monitor programmed to maintain the set of history logs by performing acts comprising receiving transit data from history loggers for samples of biological material and storing the transit data for samples of biological material in database records associated with the unique identifiers of the samples of biological material to which the transit data relates. Additionally, such a central monitor could be programmed to make the determination of whether the sample of biological material does not conform to the set of requirements for the medical diagnostic test by performing a set of acts. Such a set of acts could comprise, using the unique identifier of the sample of biological material, retrieving data indicating that the medical diagnostic test is to be performed with that sample of biological material. Such a set of acts could also comprise comparing temperature data from the set of one or more temperature sensors with a temperature threshold associated with the medical diagnostic test. Such a set of acts could also comprise comparing atmospheric pressure data from the set of one or more pressure sensors with an atmospheric pressure threshold associated with the medical diagnostic test. Such a set of acts could also comprise comparing how long the sample of biological material had been in transit with a transit time threshold associated with the medical diagnostic test. Such a set of acts could also comprise comparing a time delay between when the sample of biological material was collected and when it was placed in transit with a collection delay threshold for the medical diagnostic test.
In a fifth aspect, a machine such as described in the context of any of the first through fourth aspects could include a central monitor programmed to maintain the set of history logs by performing acts comprising incorporating data received from the history loggers into database records associated with unique identifiers of samples of biological material to which that data relates. In this fifth aspect, the set of one or more history loggers could comprise a first sample manager located at a collection point for samples of biological material and a second sample manager located at a preparation site for samples of biological material. The first sample manager could be programmed to send to the central monitor, for each sample of biological material collected at the collection point where the first sample manager is located, a timestamp reflecting when that sample of biological material was collected and a unique identifier for that sample of biological material. The second sample manager could be programmed to, for each sample of biological material received at the preparation site where the second sample manager is located: (i) retrieve, from the central manager using the unique identifier for that sample of biological material, a set of preparation activities to perform for that sample of biological material, and (ii) present instructions to perform the set of preparation activities for that sample of biological material.
In a sixth aspect, a machine such as described in the context of the fifth aspect could be implemented such that each history logger from the set of one or more history loggers is programmed to require a user of that history logger to authenticate his or her identity before the history logger could receive information about samples of biological material taken from patients or communicate information about samples of biological material taken from patients with either the central monitor or other history loggers. Each of the history loggers could also be programmed to inform the central monitor of the authenticated identity of the user of that history logger and the unique identifiers of samples of biological material handled by the user of that history logger. Similarly, in this sixth aspect, a central monitor could also be programmed to, based on receiving a message that a sample of biological material has arrived at the testing location using the sample identifier for the sample of biological material, retrieve data indicating the authenticated identifiers of all users of history loggers who had handled the sample of biological material.
In a seventh aspect, a machine such as described in the context of any of the first through sixth aspects could be implemented such that the unique identifiers for the samples of biological material in the history logs comprise, for each sample of biological material transported in the sample transport container, either an identifier of a sample holder in which that sample of biological material is contained, an identifier of the sample transport container combined with an identification of a location in the sample transport container where the sample of biological material is placed, or both.
In an eighth aspect, a machine such as described in the context of any of the first seven aspects could be implemented such that the sample manager located at the testing location is one of a plurality of sample managers located at a plurality of testing locations, the set of one or more history loggers comprises a plurality of mobile history loggers, and the machine comprises a central monitor communicatively connected to each of the testing locations. In this aspect, the central monitor could be configured to determine a testing location to which a sample of biological material should be transported and send a message indicating the testing location to which the sample of biological material should be transported to a mobile history logger of a courier for the sample of biological material. In this type of implementation, the determination of a testing location to which a sample of biological material should be transported could be based on testing time at each of the plurality of testing locations, distance between the sample of biological material and each of the plurality of testing locations, and/or transit time to each of the plurality of testing locations.
In a ninth aspect, a machine such as described in the context of any of the first through eighth aspects could be implemented such that the set of one or more history loggers comprises a plurality of mobile history loggers, each of which comprises either a wireless transceiver or a wireless receiver and wireless transmitter. In a machine implemented according to this ninth aspect, the sample manager at the testing location could be programmed to receive the set of history logs from a mobile history logger carried by a courier who delivers the sample transport container to the testing location. Additionally, in a machine implemented according to this ninth aspect, the set of one or more history loggers could be adapted to maintain the set of history logs using instructions which, when executed by a history logger, cause the history logger which executes the instructions to perform acts comprising: (i) when a user of that history logger takes possession of a sample of biological material from a previous custodian of the sample of biological material, receiving, via a first NFC connection, the history log for the sample of biological material from a history logger used by the previous custodian of the sample of biological material; (ii) updating the history log for the sample of biological material with a timestamp indicating when the user of that history logger takes possession of the sample of biological material; and (iii) when the user of that history logger transfers possession of the sample of biological material to a new custodian, transferring, via a second NFC connection, the history log for the sample of biological material to a history logger used by the new custodian.
The disclosed technology could also be used in the performance of methods. For example, in a tenth aspect, the disclosed technology can be used to perform a method which comprises storing a set of programs on one or more non-transitory computer readable mediums, and making a plurality of programs taken from that set available for reproduction and use. In such a method, the plurality of programs made available for reproduction and use could comprise first and second programs respectively operable to, when executed, cause a history logger to perform a set of history logging acts, and cause a sample manager to perform a set of sample management acts. The history logging acts could comprise receiving transit data comprising values of environment characteristics for a sample transit container while samples of biological materials are in transit in the sample transport container. The sample management acts could comprise receiving a unique identifier corresponding to a sample of biological material, and making history logging information for the sample of biological material corresponding to the received unique identifier available at a location where the sample of biological material is to be tested and/or prepared for testing. In this aspect, the set of history logging information could include a value of at least one of the environment characteristics the first program is operable to cause the history logger to receive when executed, and a period since initiation of transit for the sample of biological material corresponding to the received unique identifier.
In an eleventh aspect, a method such as described in the context of the tenth aspect could be implemented in which the set of programs comprises a third program, and where the third program is operable to, when executed, cause a central monitor to perform a set of central monitor acts. Such central monitor acts could comprise maintaining a set of history logs associated with samples of biological material and responding to requests received from sample managers for information on samples of biological material corresponding to unique identifiers associated with the data records in which the received transit data was stored. In this aspect, maintaining the set of history logs could be done by performing acts comprising receiving transit data for the samples of biological material from the history logger and using the received transit data to update a database comprising records associated with unique identifiers corresponding to samples of biological material to which the received transit data relates.
In a twelfth aspect, a method such as described above in the context of the eleventh aspect could be performed in which the history logger is a smartphone configured with the first program, the sample manager is a computer configured with the second program, the central monitor is a server configured with the third program, and the central monitor is configured to determine a distance between the history logger and the sample manager using a GPS receiver incorporated into the history logger.
In a thirteenth aspect, a method such as described in the context of the eleventh or twelfth aspects could be performed in which the method comprises at least one of the acts of making the third program available for reproduction and use and/or executing the third program.
In a fourteenth aspect, a method such as described in the context of any of the eleventh through thirteenth aspects could be performed in which at least one of the programs from the set of programs is operable to, when executed, cause a computer to perform acts comprising determining whether the sample of biological material conforms to a set of requirements for a medical diagnostic text and, when the determination of whether the sample of biological material conforms to a set of requirements for the medical diagnostic test indicates that the sample of biological material does not conform to the set of requirements for the medical diagnostic test, provide an alert. In such a method, the determination of whether the sample of biological material conforms to the set of requirements for a medical diagnostic test could be performed by: (i) using the unique identifier for the sample of biological material, retrieving data indicating that the medical diagnostic test is to be performed with that sample of biological material; (ii) comparing temperature data from the database which execution of the third program would cause the central monitor to update with a temperature threshold associated with the medical diagnostic test; (iii) comparing atmospheric pressure data from the database which execution of the third program would cause the central monitor to update with an atmospheric pressure threshold associated with the medical diagnostic test; (iv) comparing how long the sample of biological material had been in transit with a transit time threshold associated with the medical diagnostic test; and (v) comparing a time delay between when the sample of biological material was collected and when it was placed in transit with a collection delay threshold for the medical diagnostic test. Additionally, in a method of the fourteenth aspect, the alert may be selected from a group consisting of an instruction to evaluate a result of the medical diagnostic test using a modified evaluation parameter, an instruction to rerun the medical diagnostic test with the sample of biological material one or more times, an instruction to discard the sample of biological material, and an instruction to generate an order to collect another sample to perform the medical diagnostic test.
In a fifteenth aspect, a method such as described in the context of the fourteenth aspect could be performed in which at least one of the programs form the plurality of programs made available for reproduction and use which is operable to, when executed, cause the computer to perform a set of alerting acts is selected from a group of programs consisting of the second program and the third program.
In a sixteenth aspect, a method such as described in the context of any of the tenth through fifteenth aspects could be performed wherein the history logger is a mobile history logger and the first program is operable to perform acts to facilitate transfer of a transported sample of biological material from a first custodian using the history logger to a second custodian using a second history logger configured by the first program. In this type of method, the mobile history logger could be configured to authenticate an identity of its user with biometric information from that user and could comprise either a wireless transceiver, a wireless receiver paired with a wireless transmitter, or both. Similarly, in this type of method, the acts which the first program could be operable to perform to facilitate transfer could comprise (i) causing the history logger to send, via a NFC connection, a history log for the transported sample of biological material to a second history logger, and (ii) causing the second history logger to update the history log for the transported sample of biological material with a timestamp indicating when the second custodian takes possession of the sample of biological material.
In a seventeenth aspect, the disclosed technology could be used to implement a set of computer programs stored on one or more devices which, when executed, cause performance of the method steps described in the context of any of the tenth through sixteenth aspects.
Further information on how the disclosed technology could potentially be implemented is set forth herein, and variations on the sample will be immediately apparent to and could be practiced without undue experimentation by those of ordinary skill in the art based on the material which is set forth in this document. Accordingly, the exemplary methods and machines described in this summary should be understood as being illustrative only, and should not be treated as limiting on the scope of protection provided by this or any related document.
The technology disclosed herein can be used to address problems related to the transport of biological materials from a point of collection through their testing, as well as problems related to the testing of those materials at a test location (e.g., properly interpreting test results in light of the environment a sample may have been exposed to during transport), and even to their disposal after testing is complete. For the purpose of illustration, this document focuses on the application of the inventors' technology in that context. However, it should be understood that the technology disclosed herein could be used for other purposes and in other contexts as well. For example, rather than being used in the context of transporting biological materials, the disclosed technology could be applied in the context of transporting chemicals of non-biological origin. Similarly, rather than simply being used for testing of materials, the disclosed technology could be applied when materials are used for other purposes, such as where biological materials are used in a manufacturing or other industrial setting. Accordingly, the present description should be understood as being provided only by way of illustrative example, and numerous modifications and alternate embodiments of the invention will occur to those skilled in the art.
Turning now to the figures,
Turning now to the individual items illustrated in the environment 100 of
It should be understood that, while
Turning next to the POC 130, POC 130 may be a clinic, a hospital, or laboratory where a patient sample is collected, and may include devices such as those shown in
In addition to items for handling, identifying and gathering relevant information about samples, a POC 130 could also include equipment for gathering and communicating information, either with other devices in the POC 130, with a remote device like a central monitor 120, or both. For example, as shown in
The remaining sites illustrated in the environment 100 of
To illustrate how the disclosed technology could operate in an environment 100 such as shown in
After the test(s) for a patient had been determined, identifiers could be generated for the sample(s) that would need to be taken for the test(s). This could be done in a variety of ways. For example, in some embodiments, after a test order had been entered/obtained from a LIS 420, a program 314 executed by the sample manager 310 could query its local database 316 for records indicating what sample(s) would need to be taken to perform the necessary test(s), and could then generate a unique identifier for each of those samples. Such a unique identifier could be generated, for example, by providing information identifying a sample (e.g., name of the patient from whom the sample is taken, test for which the sample is taken, date the test order was issued, etc.) to a cryptographic hash function (e.g., MD5, SHA-3, etc.) to generate a unique fingerprint for that sample. Alternatively, in some embodiments, it is possible that a sample manager 310 could have been issued a set of identifiers to use with its samples, and, when an identifier was needed for a sample, could query its local database 316 for the next unused identifier from its set and assign that identifier to the sample. As yet another alternative, when an identifier is needed, a sample manger 310 could send a message to the central monitor 120 requesting that the central monitor 120 provide the necessary identifier. The central monitor 120 could then respond by generating a new identifier using a cryptographic hash function, by selecting an identifier which hadn't been used by the sample manager 310 at the POC 130 (or any other sample manager, in the scenario where multiple sample managers communicate with a single central monitor), or by some other suitable method for generating the requested identifier.
Additionally, in some embodiments, once the identifier for a sample had been determined additional steps could be done to facilitate the management and handling of that sample throughout the environment 100. For example, a sample manager 310 could update its local database 316 (and send, either in real time or as part of a periodic push to or pull from the central monitor, information to the central monitor 120 instructing it to update its database 430) to show that the identifier had been assigned to the sample. This could be done by, for example, adding a database record which used the sample identifier as a primary key, and which included attributes describing the sample (e.g., the type of biological material for the sample, the patient from whom the sample was taken, the test(s) to be performed on the sample, etc.). Similarly, in some embodiments, a sample manager 310 could print a label with the identifier (e.g., encoded as a 2D or 3D bar code) which could be affixed to the sample holder 322 for the sample, or could use an RFID detector/write 340 to encode the identifier into an RFID chip in the sample holder 322. Of course, other approaches are also possible, and could be included in some embodiments as alternatives to those described above. For example, in some embodiments, rather than a sample manager 310 assigning an identifier to a sample, the individual who places the sample in a sample holder 322 could also affix a label which had been pre-printed with a unique identifier onto that holder and enter the unique identifier from that label into the sample manager 310. The sample manager could then update its database 316 (and potentially send a message to the central monitor 120 to update its database 430) with the identifier specified by the user rather than with an identifier it had itself generated. Accordingly, the discussion above of how a sample manager 310 and/or central monitor 120 could generate identifiers for samples should be understood as being illustrative only, and should not be treated as limiting.
At the collection step 220, samples are collected from the patient by a healthcare provider and each sample is placed in a corresponding sample holder 322, such as a test tube. As mentioned previously, this process could potentially be facilitated by software running on the sample manager 310. For example, a sample manager 310 could be configured to execute a program which would, after determining (or being informed, such as by a central monitor 120) what sample(s) to take from a patient, would instruct the healthcare provider at the POC 130 to take the sample, to place it into a sample holder, and to affix a label bearing the identifier for that sample (e.g., encoded in the form of a 2D or 3D barcode) onto the sample holder. Alternatively, if the sample holder 322 included an RFID tag, the sample manager 310 could instruct the healthcare provider to bring it into proximity of an RFID detector/writer 340 so that the identifier could be encoded on the RFID tag. This could offer several advantages over a printed label. For example, RFID tags can be read from a greater distance and at a faster rate than bar codes. RFID tags contain more data capabilities, can be programmed, and have high levels of security.
Additionally, for certain tests, the sample manager could provide an interface which the healthcare provider could use to add additional information for a sample, and may indicate that such information would have to be entered before collection of the sample could be deemed complete (e.g., healthcare provider may be required to enter a note in a comment field or check one or a plurality of boxes in a check list to complete the sample collection process). For example, when a special type of test is ordered, the healthcare provider may be asked to check if an adequate volume or size of the sample is obtained. Similarly, the healthcare provider may be asked to indicate the sample volume on the label or enter it into a local sample manager 310 which would then associate it with an identifier for that sample so that the volume could be used to ensure that the sample was handled properly at a subsequent preparation site 140, POT 150, or both (e.g., if the sample is a blood sample, the volume of the sample could be used to account for the necessary anti-coagulant when preparing a dilution, thereby reducing the risk of a test performed on the sample providing incorrect results). In one embodiment, the COC program 314 might be written so that the healthcare provider could not close it or perform further actions for that sample (or any other sample) if the comment field is not filled out or if none of the boxes are checked. A COC program 314 may also encode such information (or other additional information) along with the identifier for a sample on a sample holder. For example, if an identifier for a sample is encoded into an RFID on a sample holder, the RFID could also be encoded with information such as patient identification information, container information, a description of the collected sample, tests to be run on the sample, the test order to which the sample relates, and conditions of the patient at the time the sample was collected (similar information could also be included on a label printed by the sample manager 320 to be affixed to a sample holder). The COC program 314 may also require the healthcare provider to scan his or her ID before exiting the COC program 314. This could prompt the COC program 314 to record the date, time, location and the healthcare provider associated with the sample collection process. Alternatively, in embodiments where a healthcare provider is required to log in to use the sample manager 310, the COC program 314 may record the login credential of the healthcare provider and associate it with sample collection date, time, location, etc.
Samples collected at collection step 220 may be sent to a sample preparation site 140 at step 225, where the quality of the samples, such as volume or liquid level and sedimentation, may be interrogated. Preparation site 140 may also further process the collected samples such as by performing (additional) preparation activities as necessary or as required by the test order. For example, if a particular test requires blood samples to be separated by component, the blood samples may be centrifuged at the preparation site 140. Once the blood samples are separated into different components via centrifugation, each of the components may be placed in a separate container. In another example, a laboratory technician may check the required volume for a particular test. If the volume of the collected sample is not adequate for a particular test, the sample may be sent back for additional sample collection. U.S. published patent application number US2013/0123089 describes various systems and methods for liquid volume or liquid level detection within a container. The disclosed methods and systems are incorporated herein by reference.
Volume of a sample may be tested using a level detection unit, which may comprise a camera unit and image analysis software. The level detection unit measures the sample's volume or liquid level by capturing and analyzing one or more images of the container and the liquid/sample therein. The camera unit may be a still camera, a color image camera, a video camera, a spectral camera or the like. The settings of the color camera, such as focusing, white balance, diaphragm setting, filling-in, can be permanently preset or adjustable. The settings can be adjusted with the aid of image evaluation software. An algorithm can be used to calculate the sample level and/or volume using known data, such as the type of sample tube used, the type of sample, etc.
Alternatively, the liquid level detection unit may employ laser diodes, with a defined wavelength range, to evaluate the absorption spectra. A laser diode beam can be focused on sections of a container, and an absorption and transmission measurements of different wavelengths of the focused beam can be measured to determine the liquid level and volume.
As with sample collection 220, this sample preparation can also be facilitated using a sample manager 310. For example, a sample manager 310 located at a preparation site 140 could present an interface which would allow a user to enter an ID for a sample (or could allow a user to provide the sample's ID in an automated manner, such as by scanning a bar code or reading an RFID tag) and, once the ID of a sample had been provided, could use that ID to query the central monitor 120 for information on how that sample should be processed. The sample manager 310 could then use that information to inform the personnel at the processing site 140 what to do with the sample. The sample manager 310 could also inform personnel at the processing site 140 of any problems that might exist with a sample. For instance, the sample manager 310 (or the central monitor 120) could compare elapsed time between when a sample was taken and when it arrived at a processing site 140 (i.e., the duration of time the sample of biological material was in transit) with stored information indicating how much time could elapse before a particular type of sample was no longer suitable for processing, and this information could be used to inform personnel at the processing site if the processing they would otherwise have performed was no longer appropriate. Similarly, the sample manager 310 (or central monitor 120) could compare information on the temperature of the sample's environment gathered by sensors in the sample transport container with stored information indicating acceptable and unacceptable temperature ranges/acceptable temperature thresholds, and the results of such a comparison could be used to inform personnel at the processing site if the processing they would otherwise have performed was no longer appropriate. Additionally (or alternatively), a sample manager 310 could ensure that personnel at the processing site 140 had provided appropriate information about the samples they worked with. For instance, just as a sample manager 310 at a POC site 130 could require personnel at the POC 130 to enter various information before sample collection would be deemed complete, when a quality check for liquid levels and the sample separation process are completed, a sample manager 310 at a preparation site 140 may require a healthcare provider to scan the sample and enter any observation in a comment field, or alternatively select and check off boxes such as centrifugation completed, volume and visual check completed, etc. on a list provided by COC program 314.
At step 230 sample holders 322 may be placed in a sample transport container 320 and sent to POT site 150 such as a laboratory. Sample transport container 320 may be affixed with various environmental sensors for monitoring temperature (i.e., temperature sensors), pressure (i.e., pressure sensors), altitude, and the like. In some embodiments, the transport container 320 and/or individual sample holders 322 may be affixed with a GPS device for location tracking. In certain cases, it may be important to affix a GPS device to each individual sample holder 322 in order to accurately track the location and transit route of each sample holder 322 since holders in a single transport container 320 may be separated.
At step 240, transit data are collected when courier case 320 arrives at POT site 150. The types of data collected may be any information relating to the sample collected during transit including (but not limited to): total travel time; time of travel initiation; temperature exposure profile; elevation; number of stops; locations (GPS data); pressure; courier information, etc. For simplicity, these types of data will be referred to as ‘transit data’.
Transit data may be collected manually or automatically. In one aspect, step 240 may require a technician at POT site 150 to scan the sample transport container 320 to indicate the receipt of the container 320 and the samples contained therein. Each of the sample holders 322 within the transport container 320 may also be read (e.g., using a bar code scanner, if they are tagged with bar codes). The technician may also be required to scan various sensors (e.g., temperature, GPS, elevation, etc.) affixed to the sample transport container 320 and/or the sample holders 322. Once the sensors are scanned, the collected data will be entered into a sample manager 310 at the POT 150, and will preferably be stored in both the local database 316 of that sample manager 310 and the database 430 of the central monitor 120 in records which are directly or indirectly associated with the sample(s) that were delivered. This data could then be compared to parameters for a medical diagnostic test for the relevant sample, such as temperature, pressure, or other thresholds which could indicate if some type of special processing for the sample was necessary.
It should be noted that each of the sensors (e.g., temperature, atmospheric pressure, GPS, elevation, etc.) may collect and store data at many intervals during the transit of a sample. For example, a temperature sensor may start collecting temperature data immediately after the sample preparation stage 225 or at step 230 and may not stop collecting data until scanned and/or stopped at step 240. Accordingly, a temperature sensor may collect and store a complete temperature profile of a sample for the entire transit showing the temperature the sample had been exposed to while in transit. Likewise, a GPS sensor may collect and store a complete location profile of a sample to show when and where the sample been at any point during the transit. Once scanned, the sensor may be configured to automatically stop collecting data. Alternatively, the sensor may be configured to collect and store data until it is stopped by a custodian.
Transit data may also be collected automatically using RFID tags affixed to sample holder(s) 322 and/or a sample transport container 320. In this way, transit data from sensors may be automatically retrieved by a RFID detector/writer 340 (
Of course, it should be understood that the discussion above of collecting transit data once a sample transport container 320 arrives at a POT 150 is intended to be illustrative only, and that in some embodiments (including embodiments which support collection of transit data at a POT 150) transit data may also be collected remotely at any time during steps 230 and 240 by coupling one or more sensors to network 110 via a gateway (e.g., a cellular transceiver built into, or proximate to, a sample transport container 320), which may employ various wireless communication protocols such as satellite communication, mobile communication, etc., to connect with network 110. Each of the sensors may be connected to the gateway using RFID communication, WiFi, near field communication (NFC), Bluetooth communication, etc. In this way, transit data may be collected by a sample manager 310 or central monitor 120 at any time.
Quality checking may also be performed at step 240. For example, each sample within the sample holder(s) 322 may undergo testing if any of the transit data (e.g., temperature profile, transit time, pressure profile, etc.) of the sample holder 322 (or, in the case of data which might be available from a sensor on a transport container 320 but not from the sample holder(s) 322 it contains, transit data from the transport container 320) falls outside a predetermined range or specified condition. Samples may be marked as non-conforming any of the transit data profiles fall outside of an acceptable range. Additionally, a sample manager 310 could provide instructions to the personnel at a POT 150 indicating how the non-conformity should be addressed. For example, in some cases, a non-conformity could be severe enough relative to the requirements of a particular test that the non-conformity would prevent the test from being done (e.g., if a blood sample was simply too small to allow it to be tested, or if it had been delayed so long in transit that it would have coagulated, etc.), and the sample manager 310 could indicate to the personnel at the POT 150 that they should discard the sample and/or that they should request that another sample be collected to perform the medical diagnostic test. Alternatively, in some cases a non-conformity, rather than preventing a test from being done at all, could change the how the test should be performed or interpreted. For example, it is possible that a meaningful result could still be obtained if the test was rerun one or more times, or if the results of the test were interpreted differently than if there hadn't been a non-conformity (e.g., using a modified evaluation parameter, such as if a lower level of a test product would be considered a positive result than would have been the case had there been no non-conformity). In such a case, a sample manager 310 could provide instructions to the personnel at the POT 150 indicating how they should adjust their interpretation or performance of a test result to accommodate the non-conforming sample(s).
Once the samples are processed at step 250 and the results are passed on to the healthcare provider who ordered the test, the patient, a laboratory manager, or LIS 420 at step 260.
In one aspect, each of steps 210, 220, 225, 230, 240, and 250 may require a health care provider to indicate that one or more actions required by each respective step have been completed using COC program 314. This may be done by exiting the COC program, clicking on a complete button, saving the COC program, or by other means as provided by COC program 314. A health care provider may also be required to enter/scan his or her ID or otherwise establish his or her identity, such as by entering a name and password combination to access a sample manager. Similarly, in some embodiments, health care providers may be required to indicate completion of steps either in addition to, or as alternatives to, those depicted in
In one embodiment, COC process 200 may include a process for checking the status of a sample and/or for obtaining any information related to the sample such as its transit data. Status information may include information relating to testing progress, test results, transit status, etc. As mentioned above, transit data may be any information relating to the sample collected during transit such as: total travel time; temperature exposure profile; elevation; number of stops; locations (GPS data); pressure; courier information, etc. In some embodiments, at any step in COC process 200 (i.e., steps 210 through 260), a user may check the status of a sample and/or obtain transit data of the sample via central monitor 120. This may be done by providing the test order number or container ID to central monitor 120.
However, even in embodiments where all information for a particular sample is theoretically available, controls may be in place so that not everyone will be able to view all of the data available for a particular sample. In one aspect, central monitor 120 may restrict information access based on a user's credential. For example, couriers and lab personnel may have a low level access credential. Whereas, physicians and patients may have a high level access credential. Information that can be queried and retrieved (e.g., status and transit data) from central monitor 120 may be collectively referred to as logging or tracking information. The amount of such information a user can obtain may be based on the level of access credential. In other words, different amounts or levels of information may be provided to different users, such as patients, couriers, or healthcare providers in order to provide different level of data access.
For instance, when a user is a physician, the provided information may include testing progress/status information, test results, patient information, sample ID, container ID, courier case ID, and the chain of custody information. When the user is a courier, for example, the information the courier is able to retrieve may be limited in order to protect patient privacy. As such, the information retrievable by a courier may include sample ID, container ID, testing status information, and the chain of custody information.
As a further illustration of how the disclosed technology could potentially be used in practice, consider
At step 520, updated information on various POT sites is retrieved. In this way, the availability of a POT site can be confirmed by accessing information from central monitor 120. For example, there may be a long turn-around time at the default POT site because of a large volume of tests, or an instrument for a particular test analysis is down for maintenance. In this instance, while an alternative POT site may be farther away, the alternative POT site can service the test orders in a shorter amount of time due to availability. In embodiments where this type of availability confirmation functionality is provided, the sample managers 310 at the various POTs to which samples could be taken could be configured to constantly provide information relating POT site availability, instrument health, test volumes, etc. to the central monitor 120. As such, availability of a POT site or availability of other laboratories within the vicinity and the like are routinely updated and may be readily retrieved.
Route assisted service may be utilized at step 530. For example, an alternative POT site may be identified at step 520 and the courier may not be familiar with the route or location of the alternative POT site. In this type of scenario, the courier could send a request to the central monitor 120 for route assistance, and the central monitor 120 could respond with the best route or alternative routes to get to the desired POT site, either using pathfinding software built incorporated into its own local programming, or an API to a third party provider of route information (e.g., Google). As another example, there may be two high priority containers, each containing a sample which requires testing within a specific time period and at a specific location. In such a case, instead of choosing the shortest route between the two locations, the courier may employ the route assistance functionality provided by a central monitor 120 to aid in the decision making process. For example, the central monitor 120 could use its information on the priority of the containers and the time period during which the samples within those containers would have to be tested to determine that speed of transport should take priority over minimizing distance, and could then take different factors into account such as traffic conditions, urgency of the respective samples, etc. to determine the best route. In this way, urgent samples can be delivered on time and meet delivery performance requirements. Other information could also potentially be considered by a route assistance feature. For example, in some embodiments, the availability of reimbursement from an insurance company for testing performed at different facilities might be considered in deciding which facility a particular sample should be taken to.
As mentioned previously, in some embodiments, route assistance functionality may be provided by a program executed by the central monitor 120. Such a program could use information provided to the central monitor 120 regarding the operational status and health of each instrument at the potential POTs periodically or in real time. This information can then then be stored in database 430 and run against a set of rules specifying actions to take when certain defined criteria are met. In embodiments where they are present, such rules could potentially also be stored in the database 430 of the central monitor 120, or could, alternatively or additionally, be stored in the LIS 420.
In one embodiment, a program 440 executed by the central monitor 120 could evaluate rules relating to dynamic scheduling, that is, the capability to dynamically adjust routes based the availability of different POT sites and the instrument health at each site. Dynamic scheduling may also relate to the capability of rescheduling via air or ground transport between different couriers based on the load of POT sites and urgency of the samples. A rule engine within a central monitor 120 checks the rules in database 430 for tests required and availability status of the instrument to identify an appropriate POT site for testing a sample. In one embodiment, a default laboratory with various analyzers may be assigned to a particular POC site 130. When the default laboratory is unavailable, the central monitor 120 could, either automatically upon determining that the default laboratory is unavailable or in response to a request for route assistance from a courier, at step 530 may invoke a set of rules to find the next POT site with the shortest route, shortest time of travel from the POC site, or the shortest estimated time to complete the test based on the above mentioned factors.
In one embodiment, a central monitor 120 stores a timestamp to indicate the date and time when each sample holder is received at or shipped to a location between collection and testing. A timer may be started within central monitor 120 when a RFID tag of a given container is read at a location at step 540. When an expected time period is exceeded and the sample has not arrived at the expected location, an alert may be generated at step 550. In some embodiments, a sample transport container 320 may be instrumented with a GPS device, and when the container passes a predetermined POT site, a flag may be generated. The flag may be delivered to the courier who is last in a chain of custody or a laboratory manager at the POC site or a laboratory manager at the POT site via email, page, text message, voice message, or other means.
At POT site 150, when a sample transport container 320 is delivered, the ID of that container 326 can be obtained to identify the content of the container. Container ID 326 can be scanned by a scanner if the container ID is a 2D or 3D barcode. If container ID 326 is an RFID tag, it can be read by a wireless reader or a wired reader connected to the sample manager 310. The technician at the POT site may unpack the sample transport containers, verify that the samples are all in a good condition and that the temperature in the containers has always been below a certain limit. If it is not the case, as an alternative (or supplement) to the automatic detection of non-conformities described previously, the technician may declare non-conformities for a sample or a set of samples in the product. The technician may also add comments and observations on the samples and/or to local database 316 via the sample manager 310 at the POT. The information may also be transmitted to central monitor 120. If the samples are confirmed, the technician may declare that the samples in the container have been received and will be processed for testing.
In some embodiments, a custodian chain of custody is monitored and kept track of between collection and testing of a sample. When such a chain of custody is instituted, each custodian who collects a sample, prepares the sample, transports the sample, performs analysis on the sample, or handles the sample in anyway may be required to register within a local sample manager 310 or central monitor 120. Each custodian may register/authenticate his or her identity by manually entering his or her identification information (e.g., user name and password) or by having an identity token read by the system (e.g., having an identification badge with an embedded RFID tag scanned). Alternatively, a custodian may be verified and logged into the system using biometric authentication, which may be performed by a biometric reader such as a finger scanner, palm scanner, eye scanner, facial scanner, or speech analyzer.
In one embodiment, where a biometric reader is used to determine identity, the biometric reader may be a finger scanner that is available via a mobile app and which would operate using capacitive touch technology provided by the device running the app. Non-limiting biometric technology of this type includes Touch ID™ detector in Apple's iPhone™ and iPad™ products for example. A mobile app is a computer program or software module designed to run on mobile devices such as smartphones, tablet computers, and the like. As each sample is handed off from one provider to another, each provider may be required to have his or her finger scanned by a mobile device, and the software running on that mobile device might then send the scanned fingerprint information to the database 430 of the central monitor 120 for storage and to assist the central monitor 120 with establishing a chain of custody. In this way, the entire record including timestamp of providers having custody of the sample may be recorded and tracked.
In some embodiments, a biometric reading of a patient at the patient intake step 220 is obtained in lieu of interviewing the patient to get the patient information, and such biometric information for the patient may be stored in the database 430 of the central monitor 120 and associated with the samples taken from that patient in a manner similar to that described previously.
To further illustrate how the disclosed technology could allow a central monitor 120 to use devices beyond sample managers at a POC site 130, processing site 140 and POT 150, consider
In some embodiments, devices 620 are equipped with local communication technology such as Wi-Fi, Bluetooth™, or near filed communication (NFC) technology. Devices such as smart phones often contain unique identifiers along with GPS applications, which allow them to function as locator devices within a cellular/GPS network. In a cellphone-enabled COC environment, each healthcare provider and/or courier could be provided with cellphone-enabled device 620 or could be required to download software configured to communicate with a control unit 610 (or central monitor 120) on a mobile device he or she already possessed.
In one embodiment, rather than relying on sample managers at the POC 130, processing site 140 and POT 150, each healthcare provider could be required to activate a COC app whenever handling a sample. This could entail both running the application on the provider's device, and using a biometric sensor within device 620 to verify and register the provider's identity. The registered identity along with other information associated with the provider, such as name, date of birth, unique ID number, gender, photo, biometric profile, qualification, and certifications, may be sent to control unit 610. The information from control unit 610 is then sent to central monitor 120 where the information can be stored and further distributed to other cell-enabled devices or sample managers 320 as appropriate.
In addition to communicating via a central monitor 120 and/or control unit 610, in some embodiments devices in an environment 100 such as shown in
At step 720, the request for data exchange via NFC is authenticated. In deciding whether or not to accept the request, the user of device 620a (or software executed by or at the request of device 620a) may compare the received identifier (device identifier) with a list of authorized identifiers or a list of block identifiers. If the device identifier is on the list of authorized devices, the request may be automatically accepted. Conversely, if the device identifier is on a block list, the request may be ignored and the link will not be established. However, if a match cannot be located on either list, a message may appear at both devices to terminate the NFC app or request the user of device 620b to resend the identity for verification/addition to the block or authorized lists as appropriate. In this exemplary embodiment, the list of authorized device identifiers may be available through the NFC app or from a predetermined list stored in memory of device 620a. Alternatively, a list of approved device identifiers may be stored on central monitor 120.
A device identifier used for authentication, as described above, may be one or more data points relating to a device. For example, a device identifier may include one or more of an NFC identifier, a Media Access Control MAC address, and name of the user associated with device 620b. Device identifier may also include the user physical addresses, phone numbers, email, job function, or any information associated with device 620b. The device identifier may be unique to each device, to each user, or may be unique to the user and device combination. For example, user A and user B will each have a different device identifier even though they may be using the same device (i.e., device 620b). Alternatively, in some embodiments the device identifier for device 620b may remain the same regardless of the user.
If the authentication fails at step 720, the device identifier of device 620b may be stored at step 730 so that it could later be added to the safe or block list as appropriate. In one embodiment, the device identifier of device 620b will automatically be added to the block/ignore list if it is not on a safe list at the time the request for content transfer is received. Alternatively, in some embodiments, device 620b may be added to the authorized list upon user confirmation by the user of device 620a at step 740. If confirmed at step 740, the process proceeds to step 750 where a communication link is established. Conversely, if device 620b is automatically or manually added to the block list, the process ends.
Once a near field communication link is established between devices 620a and 620b at step 750, information can be exchanged between the devices over the communication link.
In one embodiment, once approved by the user at step 740, the device identifier (device 620b) may be added to a NFC or share group. Using various information (e.g., job title, function, etc.), which in some embodiments might be embedded in or used for (and could potentially be extracted from) the device identifier, and which in other embodiments might be requested from the device 620b after the communication link was established, device 620b may be automatically associated with a group of similar users. For instance, if a device identifier of a new device is associated with lab technician or a courier, then the device identifier of the new device may be automatically associated with a corresponding share group with other individuals identified as being (or devices identified as being associated with) a lab technician or a courier.
At step 760, after the communication link is established, a message at the receiving device 620a may appear asking the user to permit a file transfer or display. If the user of the device 620a selects “no” the process ends. Otherwise, the content may be transferred, and/or displayed on device 620a at step 770. The content may also or alternatively be saved locally on device 620a in its memory at step 780. Different information may be transferred under different situations. In one embodiment, only COC information such as a timestamp when the transfer occurred and identity of devices 620a and 620b are transmitted. Alternatively, in some embodiments, users of devices 620a and 620b may belong to different health care networks which do not share a central monitor 120. In this situation, the entire content of the sample and COC information may be transmitted to device 620b via the established NFC link. Essentially, this would allow the exchange of information between devices during transfer of the sample to replace the database of a central monitor in the same manner that a blockchain of a virtual currency would allow the distributed processing performed by users of the virtual currency to replace a central database managed by an issuing authority. In other embodiments, a web link, a URL or an address of the location from which the content can be retrieved is sent.
Software which performed a method 701 such as shown in
As a further illustration of how this type of near field communication data exchange could be used in the context of the disclosed technology, consider
At step 820, as soon as the COC information is registered with COC program 314, container 320 information along with container ID and other information are also correlated and associated with the COC information within COC program 314. Similarly, the courier can initiate another NFC link upon arrival at POT site 150. In this way, COC program 314 can be provided with information as to when container 320 was picked up at POC site 130 and arrived at POT site 150 and the identification of people who have handled container 320 and/or how many individuals have handled the sample of biological material while in transit. At step 830, tracking information such as COC information, and testing status of samples in container may be provided to a user.
In another scenario, the courier carries along a courier device 620b that is configured to scan shipping packages, including sample transport container 320. The courier may use device 620b to scan sample transport container 320 by reading the bar code that may be affixed to the case. Alternatively, sample transport container 320 may have an RFID tag that could automatically be read by an RFID reader at a facility. In one aspect, device 620b is also configured to read RFID tags.
Once sample transport container 320 is scanned by device 620b (when the case is picked up at POC 130), device 620b may send a pick up confirmation to control unit 610 and/or to central monitor 120. Device 620b may be in continuous communication with sample transport container 320 for the entire duration of shipping period (i.e., from POC 130 to POT 150). In this way, device 620b may regularly collect transit data (e.g., location, temperature, travel time, etc.) from sample transport container 320 through the duration of the shipping period. Device 620b may also send the collected transit data to control unit 610 at any time during the shipment period. This may be done intermittently (automatically) or on demand, at the user request via control unit 610. Finally, once sample transport container 320 arrives at POT 150, device 620b or receiving device 620a may send a receipt notification to central monitor 120.
In one aspect, device 620b may also send a notification to a COC subscriber or a share group indicating that the sample has arrived at the testing site. The notification may be sent via a mobile messaging service or via email.
Similar to the manners described above, the notification message may include the content of COC information and the test result conducted at POT site 150, or information about the content such as a link, URL, or address of a location from which the content can be retrieved. The notification may alternatively or additionally cause a notification to be displayed on each device of an option to download the content to the device.
In the preceding description, for the purposes of explanation, numerous details have been set forth in order to provide an understanding of various embodiments of the present technology. It will be apparent to one skilled in the art, however, that certain embodiments may be practiced without some of these details, or with additional details.
Having described several embodiments, it will be recognized by those of skill in the art that various modifications, alternative constructions, and equivalents may be used without departing from the spirit of the invention. Additionally, a number of well-known processes and elements have not been described in order to avoid unnecessarily obscuring the present invention. Additionally, details of any specific embodiment may not always be present in variations of that embodiment or may be added to other embodiments.
As used herein, the singular forms “a”, “an”, and “the” include plural referents unless the context clearly dictates otherwise. The invention has now been described in detail for the purposes of clarity and understanding. However, it will be appreciated that certain changes and modifications may be practice within the scope of the appended claims.
As used herein the term “patient” refers to a human or non-human subject who is being tested, treated, monitored or the like for a medical condition, disease or the like by a custodian.
As used herein, the term “custodian” refers to any person who handles, carries, or performs a test, a diagnosis test specifically on, a sample. The term is most often associated with a carrier, a courier, a phlebotomist, a laboratory technician, a laboratory manager, and any employee, affiliate, colleague or agent of an organization associated with laboratory, hospital, medical clinical or a physician office. In some cases, the term custodian also includes a healthcare provider as defined below.
As used herein, the term “healthcare provider” refers to a patient's care provider who is associated with laboratory, hospital, medical clinical or a physician office. The care provider is typically associated with ordering a test on a patient sample for disease diagnosis and/or providing care or treatment to the patient. The term is most often associated with a primary care physician, a nurse, or a nursing assistant, a pharmacist, any employee, affiliate, colleague or agent of the aforementioned organizations.
As used herein, the term “machine” refers to a device or combination of devices.
As used herein, the term “network” refers to any collection of networks using standard protocols. For example, the term includes a collection of interconnected (public and/or private) networks that are linked together by a set of standard protocols (such as TCP/IP, HTTP, etc.) to form a global, distributed network. The term is also intended to encompass variations that may be made in the future, including changes and additions to existing standard protocols or integration with other media (e.g., television, radio, etc).
As used herein, the term “sample” refers to any biological sample, and the phrase “biological sample” is meant to cover any specimen of biological material which has been isolated from its natural environment, such as the body of an animal or a human being. It can be in solid form such as tissues, bones, ligaments, and the like. It can also be in liquid form such as blood, spinal fluid, and the like.
As used herein, the term “set” refers to a number, group, or combination of zero or more things of similar nature, design, or function.
As used herein, the term “based on” means that something is determined at least in part by the thing that it is indicated as being “based on.” To indicate that something must be completely determined based on something else, it would be described as being based “exclusively” on whatever it is completely determined by.
As used herein, modifiers such as “first,” “second,” and so forth are simply labels used to improve readability, and are not intended to imply any temporal or substantive difference between the items they modify. For example, referring to items as a “first program” and a “second program” in the claims should not be understood to indicate that the “first program” is created first, or that the two programs would necessarily cause different things to happen when executed by a computer. Similarly, when used in the claims, the words “computer” and “server” should be understood as being synonyms, with the different terms used to enhance the readability of the claims and not to imply any physical or functional difference between items referred to using those different terms.
Number | Date | Country | |
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62355165 | Jun 2016 | US |
Number | Date | Country | |
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Parent | 16313704 | Dec 2018 | US |
Child | 18640413 | US |