It has been widely recognized that methods and systems for insuring proper medication ingestion by individuals are very important in defending against unnecessary sickness, deaths and other problems. Giving instructions and then letting patients fend for themselves has been shown not to work particularly well. This is because it is not only the improper ingestion of medicines that is the primary cause of medical danger. Rather, an overall lack of sufficient patient guidance is part of the problem. Also, the inability to confirm a proper prescription regimen being provided to a user in the first place may cause a number of other problems with the use of such medication. While other systems have been proposed to ensure such proper usage of medication, it is only the present invention that provides a complete solution to the medication management problem.
Dr Lars Osterberg, M.D. and Dr, Terence Blaschke have reported in the New England Journal of Medicine, Adherence to Medication, (N Engl J Med 2005; 353:487-97) 2005 an alarming lack of adherence to required medication protocol, further noting that while the average rates of adherence in even clinical trials is “high”, this number still comprises only rates of 43 to 78 percent. Most importantly, the authors note “The ability of physicians to recognize nonadherence is poor, and interventions to improve adherence have had mixed results.” Adherence, p. 487. The authors conclude “Poor adherence to medication regimens is common, contributing to substantial worsening of disease, death and increased healthcare costs.” Adherence, p. 494. The Trend Repot Series, 2008 Patient Adherence Update: New Approaches for Success, October 2008, report similar discouraging statistics. It is against this backdrop of poor adherence, and potential danger to patients, that the present invention operates.
A number of systems exist that provide instructions to a user regarding when to take a medication and records when the user indicates that a medication has been taken. U.S. Pat. No. 7,359,214 describes such a system. A device is provided that provides instruction to a patient regarding medications to take. Furthermore, the system may provide a method for determining that the prescription is appropriate given the patient's conditions, and other medications he or she may already be taking. The system may also provide a method for monitoring compliance of the patient with such a regimen, through the dispensing of medicine in accordance with a predetermined treatment protocol. While such a system provides many improvements for easing a burden on the patient, this system suffers in many ways.
Most importantly, this system provides no mechanism for actually confirming that a patient is in fact ingesting or otherwise properly administering required medication. While the system may be sufficient for one who is in full possession of their mental faculties, any individual who may have difficulty following directions, or one who is actively avoiding medication may still not be taking required medication after it is dispensed. Furthermore, the system requires preloading of various medications into a dispenser, and thus likely requires regular visits by an administering manager to be sure appropriate medications are in fact loaded therein. It is surely possible that an inexperienced user may place incorrect medications into the device, or may somehow provide incorrect dosages into the device. Additionally, for potentially more complex regimens, there is no method provided for insuring that a user is able to follow such a protocol, and to thereafter confirm that the user has in fact taken all required medications in accordance with any provided instructions or the like, or has taken the medications according to one or more specifications or followed suggested procedures.
U.S. patent application Ser. No. 11/839,723, filed Aug. 16, 2007, titled Mobile Wireless Medication Management System provides a medication management system employing mobile devices and an imaging technology so that a user is able to show a pill to be taken to the system, and the system can then identify the medication. Patient histories are available to an administrator, including various vital signs as measured by the system. Images may also be taken of the patient, provider, medication container or the like. While the system professes to ensure adherence to a protocol, the system only provides such help if requested by a user. There is in fact no particular manner in which to ensure actual adherence or the relationship of adherence to the efficacy of the drug over time. When customizing a medication regimen or monitoring a personal medication regimen, this is particularly relevant.
Additionally, existing systems fail to maintain an audit trail for post administration review by a medical official, and further cannot therefore confirm confirmation of proper medication administration. Existing systems are further generally impractical in that they fail to address many of a patient's other healthcare needs, including billing, insurance paperwork and filing, education regarding healthy living and proper use of medications, easing obtaining refills for medications, and providing feedback to a medical service provider, for example, in advance of an appointment so that the medical provider can be prepared for such an appointment.
Therefore, it would be desirable to provide a method and apparatus that overcomes the drawbacks of the prior art.
In accordance with the present invention, a system and method are provided that allow for complete control and verification of adherence to a prescribed medication protocol, whether is a health care provider's care, or when self administered in a homecare situation by a patient. The system and method preferably includes a means for receiving user medication information, including a medication profile and history, providing indications to a user regarding when to take a medication, and which medication to take, imaging medication either in pill or container form to confirm a correct medication is being taken, confirming, in accordance with the user medication history that a new medication will not conflict with an already being taken medication (including non-prescription medication that may be used by a patient), scan a group of medication containers or pills to inform a user which is the correct medication through the use of visual, verbal or other prompts, providing assistance information to aid a user in properly taking the medication, imaging, employing still photos, video sequences or other activity or gesture recognition techniques, the user to confirm that the medication is being actually and properly taken, providing any appropriate additional or special instructions, using the imaging to note any possible adverse effects associated with taking of the medication, accumulating statistics about adherence to a prescribed protocol, assisting in reordering medication on an as-needed basis and notifying a medical professional if the user is not properly following a prescribed protocol.
From beginning to end, a user is provided with a system and method that aids the user in properly following a protocol, while informing an administrator of any deviations from the protocol, either innocent or purposeful, by a user so that an early interaction may be provided. The present invention is the only medication adherence verification system that may determine whether a user is actually following a protocol, and provide additional assistance to a user, starting with instructions, video instructions, and the like, and moving up to contact from a medication administrator through phone, email video conferencing or the like, if it is determined that the user may benefit from such assistance. Upon prescription of a medication to a user and entry of appropriate medical information into the system, the pharmacist or other medical personnel may allow the system to image the medication or enter medication information in any number of ways, thus recalling one or more preferred protocols for administration of the medication. An image of the medication may be further provided to the pharmacist upon this or any subsequent refills of the medication and act as an added visual check to confirm proper medication administration. The personnel may then select a desired protocol, thus removing a likely point of error, incorrect instructions to a user. Further, a medication image may be shown to a patient when they are to take a medication, to thus further ensure proper medication is administered.
Further in accordance with the invention, access to such medication information may be made available to emergency responders, hospital or other medical service providers or the like. It is contemplated that such information may be available by entering a predefined sequence into a patient's cellular telephone, other mobile device, or home based system. Further access may be provided at a predetermined website or the like.
Still other objects and advantages of the invention will in part be obvious and will in part be apparent from the specification and drawings.
The invention accordingly comprises the several steps and the relation of one or more of such steps with respect to each of the others, and the apparatus embodying features of construction, combinations of elements and arrangement of parts that are adapted to affect such steps, all as exemplified in the following detailed disclosure, and the scope of the invention will be indicated in the claims.
For a more complete understanding of the invention, reference is made to the following description and accompanying drawings, in which:
In accordance with the invention, a system and process are provided that improve adherence to medical protocol, and give administrators a tangible and concrete manner in which to confirm compliance or lack thereof, and the ability to intervene early in the process to ensure that patients are properly taking their medication. The system and method of the invention provide for prescription selection, instructions to patients on the use of any prescription medications, and verification to a doctor or other service provider of patient adherence to the prescribed protocol.
Referring first to
Additionally, it is contemplated in accordance with the invention that the patient be provided with a user interface dashboard or the like allowing of modification of prescription regimen and instruction information by the patient. Thus, by way of example, if a user is to take a particular medication before eating in the morning, the user may be able to determine when a reminder for such medication will be given. If the patient is an early riser, the reminder may be provided by cell phone or email at 6:00 AM. Conversely, if the patient sleeps late and normally does not eat an early meal, reminders can be set for later in the morning, thus matching a patient's schedule. Of course, any such patient adjustments must be set within broader prescription regimen as defined by the prescribing medical provider. It is contemplated in accordance with the invention that a touch or other user friendly graphical user interface be provided so that the user can easily manipulate any number of prescription factors, and perhaps enter additional information that may be useful to a prescribing medical provider, such as level of fatigue, level of hunger, jitter inducing medications, etc. All of these data collection points allow for a smoother administration of medication to a patient, and therefore a more likely chance of adherence to a prescribed protocol.
Referring to the portion of
Furthermore, in accordance with the present invention, a video image of the patient actually administering or ingesting the medication may be taken and stored so that actual confirmation may be achieved, rather than simply relying on the patient to state that a particular medication was administered. Such a video image may be captured or stored in any appropriate format given a selected type of activity or gesture recognition that is employed in accordance with a particular embodiment of the invention. Such may include full video, biometric data points, recording of movement of an article, such as a bracelet or the like, affixed to the patient or administrator, use of mapping to provide a stick figure or other body movement tracking technique, or gesture or activity recognition to determine movement or the like. Finally, in accordance with the invention, if recording of a video of a patient having the medication administered thereto is not possible, the system of the invention will recognize such an issue and request audio confirmation as a next best option. If the audio confirmation is also not possible, then a less reliable method of confirmation, such as a keyboard confirmation by the patient may be accepted. If higher reliability methods of confirmation are not available for an extended period of time, an alarm is preferably forwarded to a medical professional to inquire as to reasons and to remedy any situation that might be wrong in the administration situation.
These steps of confirming identity, confirming medication and confirming administration are then reviewed to verify adherence to the prescribed protocol at 135. Such review is preferably performed automatically by a computing system that is able to align the actual recorded images with ideal or expected images, or through the user of other activity or gesture recognition as mentioned above. In the case of facial recognition and bottle or pill recognition, such techniques are known in the art. With regard to video confirmation of adherence to prescribed medicine administration procedures, such processing may include various stick figure comparison analyses, motion recognition analysis, or other schemes as noted above able to determine whether appropriate actions have been performed by the patient.
The ability to provide automated determination of adherence to proper administration procedures allows for a large number of such images to be review in a short period of time. Even if actual and complete lack of adherence is not able to be determined 100% in each possible situation, the ability to pre screen the administration video captures to remove from further consideration administration situations that are clearly compliant may reduce a number of compliance situations to be reviewed by a medical professional substantially.
In an additional embodiment of the invention the imaged sequences used for activity recognition to determine regimen adherence may be further used to check for adverse or other reactions to taking of the medication. Thus, in addition to simply determining proper adherence to a protocol, such activity or gesture recognition may determine any number of different actions that may have been taken by a patient. Thus, actions taken before medication administration, or actions taken after medication administration may give insight into reasons for particular responses, etc. Thus, before administration, in accordance with the invention, activity recognition may determine a current activity of a user. Any subsequent reminders to take a medication may in part be based upon this determined activity. By way of example, if a user is putting on a coat, or is determined to be leaving a residence or other facility or the like, a reminder to take a medication before leaving may be provided, even if earlier than normal, or if medication is portable, the user may be reminded to take the medication with them, and then subsequently reminded to administer the medication via notification on a mobile device. By way of further example, if the user is cooking, a reminder may be given to take the medication a predetermined time before eating. Other scenarios may be possible, thus allowing greater response from the system to ensure proper medication administration by a patient. Additionally, various patient consent issues may be prompted and recorded in accordance with the invention. Patients may ask further additional questions regarding such consent, thus insuring that patients have all of the information they need to make informed consent decisions, and medication providers have proper evidence of such consent.
Similarly, actions after taking medication may give insight into patient responses. Notice of fainting, falling down, lack of motion, facial gestures, gastrointestinal distress or the like may all be logged as adverse reactions to a particular medication regimen, and may allow for adjustment of dosage or prescription instructions in the future for the patient. If adverse reactions are severe, an immediate medication review and contact from a medical professional may be provided to cure the issue. Additionally, the system in accordance with the present invention may be directly tied and be interoperable with a pharmacy or medical provider's systems, thus allowing such recommendations for dosage changes, regimen changes and the like to be forwarded to these professionals automatically. Through such links, reordering medication, dosage changes, medication changes and the like may be automatically provided. Furthermore, ease of providing additional prescriptions can be enhanced as patient, medication and regimen information will already be available to the pharmacist or medical service provider.
After such automatic, or combination of automatic and manual, adherence verification is performed allowing a health care provider or other medical professional to review and verify results of the automatic comparison or direct review of captured activity sequences, and indication of variation from a desired identity, medication or application procedure may request administrator review of the situation, and intervention as may be determined necessary at 140. Such review may be required immediately as an emergency situation may exist, or such review may be less urgent, perhaps requiring an electronic communication with suggestions or the like from such an administrator or the like. Additionally, such adherence review may be stored over time for a particular patient, thus allowing for various medication trends to be determined, such as if a patient misses medication at a same time each week, or an indication that one particular health care worker aiding the patient may occasionally give an incorrect medication dosage amount. Thus, in addition to allowing for immediate notice of problems in medication administration, an audit trail for tracking the actions of various health care providers is generated.
Therefore, in accordance with the invention as set forth in
Referring next to
Information from each user of the system is combined, where available, and formed into a prescription medication entry 210. In particular, a preferred list of information that may first be provided in accordance with the invention in order to organize the system may comprise a patient name, a user name, if that user is not the patient, and information to be used to provide various alerts, such as a patient email for prescription reminders, contact information for a doctor or caregiver for emergency contact, or the like. In addition, in accordance with the invention, facial images of the patient and other people interacting with the system are stored, or other biometric identifiers, such as fingerprint identification, retinal identification, voice recognition, various provided RFID tags or the like may be employed. Of course, if the patient is a returning patient, such information may be extracted from an existing database stored with another, previous prescription.
Next, a user such as the doctor 202 or the pharmacist 204 may indicate a particular new or recurring prescription medication to be provided to a user. An external medication database 215 is accessed and information regarding such medication is provided, including medication name or names if multiple brand and generic names exist, suggestions for appropriate prescription dosages based upon patient information and the particular version of the medication to be administered, and usage instructions to be provided to the patient, these instructions being modified or supplemented as necessary by the prescribing entity. These usage instructions preferably include detailed administration instructions, including time of day, patient status (i.e. before or after eating, after waking, before sleeping, etc.), precise method of application, and other useful instructions for a user. These instructions also may include video sequences to describe particular details of the medication or administration procedure thereof. They may also comprise alternative versions of instructions so that if a user is unclear regarding a particular set of instructions, an alternative set of instructions may be provided to the patient to aid in adherence to the prescription regimen.
After selection of such a medication, a patient medical history 217 is preferably accessed to provide additional medication and patient information to the prescribing individual. Such information may include, other prescriptions to the patient so that adverse drug interaction may be determined (although if such other prescriptions were implemented in accordance with this invention, such prescriptions will already be known to the system), patient indication of use of non-prescription drugs, patient allergies, patient activity level, past diseases and procedures, and any other information that may be relevant to the prescription of medication.
After all of the information has been entered about the user, and information from the medication and patient database has been accumulated, various medication interactions are checked automatically by the system at step 220. Any dangerous interactions are noted to the prescribing individual, and may preclude entry of the prescription into the system. Other interactions may be noted to the prescribing individual so that the individual may make the patient aware of such situations. These may include, for example a notification that the taking of two medications together may result in stomach pains, so that the patient should take one in the morning and one in the afternoon. Such interactions check will then result in a set of instructions that will be provided to the user, in addition to the more generic medication instructions. Finally, the prescribing individual may review such instructions and supplement them as desired. It should be noted that in accordance with the invention it is contemplated that various instructions provided to a user may comprise hot links to additional audio and visual information that may be provided to a patient to further assist in their adherence to any particular prescribed protocol, or may provide various information regarding the particular medication being taken as will be further described below.
Finally, after all interactions and instructions have been reviewed and approved, the prescription information is stored at step 225. The storing of such a prescription makes the prescription, alerts, help information and the like accessible to a patient and other system users. Furthermore, such completion may also transmit the prescription to a pharmacy or other medication provision facility so that the user is able to simply swing by to pick up the medication or to have the medication delivered to the patient.
Referring next to
At step 325 it is determined whether all necessary users have been recognized and authenticated. In a situation where a nurse, doctor or other caregiver is to administer medication, it may be preferable to have the patient and caregiver to be recognized by the system to further confirm that the appropriate procedure is followed, and to allow the system to keep track of people using the medication so it can track if any one person, for example, is improperly using the medication, as will be evident from the generated audit trail. After step 325, if all users are not recognized, control passes back to step 320 and any additional users are recognized by the system.
Once all users are recognized, control passes to step 327 where the medication to be administered in accordance with the prescribed prescription regimen is confirmed. Thus, a user is prompted to allow a still or video image, text recognition image, or other method of identifying a medication to be captured of the medication bottle or other container, a pill of the medication, or other form of medication, and is also able to determine appropriate quantities, dosage, and any potentially required or dangerous medication combinations. As noted above, if video confirmation is for some reason not available, the user may be prompted by the system to provide audio or other indication of medication and other desired information. This image, video sequence or other received confirmation information is then compared to an image associated with the prescription as noted above in
Alternatively, the invention contemplates a user displaying a number of medications to the image capture apparatus and allowing the apparatus to suggest which medication is correct. Thus, the user may be able to scan a medicine cabinet with such a video imaging apparatus and have the system indicate which is the correct medication. This may prove valuable when sequence of ingesting medication is important, or when two people have similar medications and may have difficulty in distinguishing between medications for each. Once a correct medication has been identified, control passes to step 330.
In step 330 user prompts and other instructions are provided to the patient, and present caregivers, as to how to administer the medication according to the prescription guidelines outlined above. These instructions allow for a user to receive further information or instructions as necessary through asking the system for additional help. Especially in situations where an elaborate scheme may be required, it is contemplated that video samples and instructions may be provided to the user. Further, in accordance with the invention, for complicated administration procedures, it may be possible to set up a two way video conference employing traditional video conferencing, VOIP conferencing, traditional telephone conferencing, or any other appropriate communication system with an expert in such administration so that a caregiver or patient may receive live coaching regarding such administration.
When following such instruction prompts, the actual act of administration is preferably captured as a video sequence at step 335. This captured video sequence may be utilized in accordance with the invention in a number of ways. First, the actions of administration of the medication is reviewed in real time and compared to an ideal or desired video sequence. If a determination is made that the medication is being administered in an incorrect manner, and in a way that may be detrimental to the patient, immediate warnings may be provided at step 340 advising the caregiver or patient to stop administration at once. Furthermore, in extreme cases, a doctor or other caregiver may be notified, or in the most dangerous cases, an ambulance or other emergency personnel may be dispatched to provide immediate care. If video recording is not available, other confirmation methods as noted above may be employed and be subject to automatic confirmation as with the video recorded sequences.
If such immediate care or warning is not required, control then passes to step 345 where the video images are more formally captured and analyzed for various other non-critical issues. The images may be captured and stored locally, being provided to a central server in a batch processing, or images may be captured and sent to the remote server for immediate analysis and storage. Such transmission may take place over a well known Internet connection, wireless connection, or other proprietary communication system. Such analysis may consider suggestions to a caregiver to improve dosage accuracy, reduce pain in administration, or the like. Furthermore, as such video sequences may be available from multiple patients and/or caregivers, the effectiveness of various sets of instructions and the like can be tested and reviewed, and changes thereto made if consistent problems are encountered. This type of study is nearly impossible without the present invention, because in any type of clinical setting, individuals are far more likely to be careful in administration of medication, and therefore not cause errors. However, in accordance with the invention, responses to instructions can be analyzed, and lack of adherence based upon confusing or difficult to follow instructions can be remedied, providing better or more usable instructions, and therefore improving regimen adherence.
In any event, after such analysis, any warnings or suggestions for instruction issues may generate a warning at step 350, suggesting areas of instruction that may be problematic. These video sequences are also stored for longer term analysis if desired at step 355, and processing ends.
It is further contemplated in accordance with the invention that the system and method thereof act as an overall prescription management tool. For example, knowing the prescription and the number of actual times the medication has been administered, the system can order prescriptions to be refilled and sent to the patient. Trends of a patient can be monitored, such as blood pressure or other measurable quantities of the patient, and correlation between such measured quantities and medication administration may be observed, potentially allowing for a more customized solution of medication to be applied to the patient, possible modifying dosage or frequency of administration based upon individual reactions to a particular prescription regimen. Further, insurance administration can be simplified by providing the prescription information directly to the insurance company, and allowing reimbursement for patient costs and other billing issues to be taken care of over a computer network, by phone or the like. Additionally, features of the invention noted above allowing for user interaction and recordation of activities of a user, adverse effects and the like may be incorporated into the system to provide further information for determining alternative instruction sets, modification of medications and the like.
A system provided in accordance with the invention includes imaging technology and hardware, communication hardware, computer systems including storage memory and remote communication via the Internet or other communication network for remote storage and analysis, databases of patient information and medication information sufficient to implement the method as described above.
Therefore, in accordance with the invention, a method and system are provided that allow for the automated administration of medication, and provide for a most sophisticated method for confirming and studying methods of administration of such prescription medication.
It will thus be seen that the objects set forth above, among those made apparent from the preceding description, are efficiently attained and, because certain changes may be made in carrying out the above method and in the construction(s) set forth without departing from the spirit and scope of the invention, it is intended that all matter contained in the above description and shown in the accompanying drawings shall be interpreted as illustrative and not in a limiting sense.
It is also to be understood that this description is intended to cover all of the generic and specific features of the invention herein described and all statements of the scope of the invention which, as a matter of language, might be said to fall there between.
This application is a continuation of U.S. patent application Ser. No. 16/530,073, filed Aug. 2, 2019 to Hanina et al., entitled “Method and Apparatus for Verification of Medication Administration Adherence,” now U.S. Pat. No. 10,929,983, issued Feb. 23, 2021, which, in turn, is a continuation of U.S. patent application Ser. No. 14/989,179, filed Jan. 6, 2016 to Hanina et al., entitled “Method and Apparatus for Verification of Medication Administration Adherence,” now U.S. Pat. No. 10,402,982, issued Sep. 3, 2019, which, in turn, is a continuation of U.S. patent application Ser. No. 14/295,485, filed Jun. 4, 2014, to Hanina et al., entitled “Method and Apparatus for Verification of Medication Administration Adherence,” now U.S. Pat. No. 10,297,030, issued May 21, 2019, which, in turn, is a continuation of U.S. patent application Ser. No. 13/558,377, filed Jul. 26, 2012, to Hanina et al., entitled “Method and Apparatus for Verification of Medication Administration Adherence”, now U.S. Pat. No. 8,781,856, issued Jul. 15, 2014, which, in turn, is a continuation of U.S. patent application Ser. No. 12/620,686, filed Nov. 18, 2009 to Hanina et al., entitled “Method and Apparatus for Verification of Medication Administration Adherence,” currently abandoned. The contents of all of the prior applications are incorporated herein by reference in their entirety.
Number | Name | Date | Kind |
---|---|---|---|
3814845 | Hurlbrink et al. | Jun 1974 | A |
5065447 | Barnsley et al. | Nov 1991 | A |
5441047 | David et al. | Aug 1995 | A |
5544649 | David et al. | Aug 1996 | A |
5596994 | Bro | Jan 1997 | A |
5619991 | Sloane | Apr 1997 | A |
5646912 | Cousin | Jul 1997 | A |
5752621 | Passamante | May 1998 | A |
5764296 | Shin | Jun 1998 | A |
5810747 | Brundy et al. | Sep 1998 | A |
5846086 | Bizzi | Dec 1998 | A |
5911132 | Sloane | Jun 1999 | A |
5961446 | Beller et al. | Oct 1999 | A |
5963136 | O'Brien | Oct 1999 | A |
6151521 | Guo et al. | Nov 2000 | A |
6233428 | Fryer | May 2001 | B1 |
6234343 | Papp | May 2001 | B1 |
6283761 | Joao | Sep 2001 | B1 |
6380858 | Yarin et al. | Apr 2002 | B1 |
6409661 | Murphy | Jun 2002 | B1 |
6421650 | Goetz et al. | Jun 2002 | B1 |
6483993 | Misumi et al. | Nov 2002 | B1 |
6484144 | Martin et al. | Nov 2002 | B2 |
6535637 | Wootton et al. | Mar 2003 | B1 |
6611206 | Eshelman et al. | Aug 2003 | B2 |
6628835 | Brill et al. | Sep 2003 | B1 |
6705991 | Bardy | May 2004 | B2 |
6879970 | Shiffman et al. | Nov 2005 | B2 |
6988075 | Hacker | Jan 2006 | B1 |
7184047 | Crampton | Feb 2007 | B1 |
7184075 | Reiffel | Feb 2007 | B2 |
7256708 | Rosenfeld et al. | Aug 2007 | B2 |
7277752 | Matos | Oct 2007 | B2 |
7304228 | Bryden et al. | Dec 2007 | B2 |
7307543 | Rosenfeld et al. | Dec 2007 | B2 |
7317967 | DiGianfilippo et al. | Jan 2008 | B2 |
7340077 | Gokturk | Mar 2008 | B2 |
7395214 | Shillingburg | Jul 2008 | B2 |
7415447 | Shiffman et al. | Nov 2008 | B2 |
7448544 | Louie et al. | Nov 2008 | B1 |
7562121 | Berisford et al. | Jul 2009 | B2 |
7627142 | Kurzweil et al. | Dec 2009 | B2 |
7657443 | Crass et al. | Feb 2010 | B2 |
7692625 | Morrison et al. | Apr 2010 | B2 |
7712288 | Ramasubramanian et al. | May 2010 | B2 |
7747454 | Bartfeld et al. | Jun 2010 | B2 |
7761311 | Clements et al. | Jul 2010 | B2 |
7769465 | Matos | Aug 2010 | B2 |
7774075 | Lin et al. | Aug 2010 | B2 |
7874984 | Elsayed et al. | Jan 2011 | B2 |
7881537 | Ma et al. | Feb 2011 | B2 |
7908155 | Fuerst et al. | Mar 2011 | B2 |
7912733 | Clements et al. | Mar 2011 | B2 |
7945450 | Strawder | May 2011 | B2 |
7956727 | Loncar | Jun 2011 | B2 |
7983933 | Karkanias et al. | Jul 2011 | B2 |
8065180 | Hufford et al. | Nov 2011 | B2 |
8321284 | Clemets et al. | Nov 2012 | B2 |
8370262 | Blessing | Feb 2013 | B2 |
8606595 | Udani | Dec 2013 | B2 |
20010049673 | Dulong et al. | Dec 2001 | A1 |
20010056358 | Dulong et al. | Dec 2001 | A1 |
20020026330 | Klein | Feb 2002 | A1 |
20020093429 | Matsushita et al. | Jul 2002 | A1 |
20020143563 | Hufford et al. | Oct 2002 | A1 |
20030036683 | Kehr et al. | Feb 2003 | A1 |
20030058341 | Brodsky et al. | Mar 2003 | A1 |
20030164172 | Chumas et al. | Sep 2003 | A1 |
20030190076 | Delean | Oct 2003 | A1 |
20030225325 | Kagermeier et al. | Dec 2003 | A1 |
20040100572 | Kin | May 2004 | A1 |
20040107116 | Brown | Jun 2004 | A1 |
20040155780 | Rapchak | Aug 2004 | A1 |
20040210159 | Kibar | Oct 2004 | A1 |
20050144150 | Ramamurthy et al. | Jun 2005 | A1 |
20050149361 | Saus et al. | Jul 2005 | A1 |
20050180610 | Kato et al. | Aug 2005 | A1 |
20050182664 | Abraham-Fuchs et al. | Aug 2005 | A1 |
20050234381 | Niemetz et al. | Oct 2005 | A1 |
20050267356 | Ramasubramanian et al. | Dec 2005 | A1 |
20060066584 | Barkan | Mar 2006 | A1 |
20060218011 | Walker et al. | Sep 2006 | A1 |
20060238549 | Marks | Oct 2006 | A1 |
20060294108 | Adelson et al. | Dec 2006 | A1 |
20070008112 | Covannon et al. | Jan 2007 | A1 |
20070008113 | Spoonhower et al. | Jan 2007 | A1 |
20070030363 | Cheatle et al. | Feb 2007 | A1 |
20070118389 | Shipon | May 2007 | A1 |
20070132597 | Rodgers | Jun 2007 | A1 |
20070194034 | Vasiadis | Aug 2007 | A1 |
20070233035 | Wehba et al. | Oct 2007 | A1 |
20070233049 | Wehba et al. | Oct 2007 | A1 |
20070233050 | Wehba et al. | Oct 2007 | A1 |
20070233281 | Wehba et al. | Oct 2007 | A1 |
20070233520 | Wehba et al. | Oct 2007 | A1 |
20070233521 | Wehba et al. | Oct 2007 | A1 |
20070273504 | Tran | Nov 2007 | A1 |
20080000979 | Poisner | Jan 2008 | A1 |
20080076973 | Muradia | Mar 2008 | A1 |
20080162192 | Vonk et al. | Mar 2008 | A1 |
20080093447 | Johnson et al. | Apr 2008 | A1 |
20080114226 | Music et al. | May 2008 | A1 |
20080114490 | Jean-Pierre | May 2008 | A1 |
20080119958 | Bear et al. | May 2008 | A1 |
20080138604 | Kenney et al. | Jun 2008 | A1 |
20080140444 | Karkanias et al. | Jun 2008 | A1 |
20080172253 | Chung et al. | Jul 2008 | A1 |
20080178126 | Beeck et al. | Jul 2008 | A1 |
20080201174 | Ramasubramanian et al. | Aug 2008 | A1 |
20080219493 | Tadmor | Sep 2008 | A1 |
20080275738 | Shillingburg | Nov 2008 | A1 |
20080290168 | Sullivan et al. | Nov 2008 | A1 |
20080297589 | Kurtz et al. | Dec 2008 | A1 |
20080303638 | Nguyen et al. | Dec 2008 | A1 |
20090012818 | Rodgers | Jan 2009 | A1 |
20090018867 | Reiner | Jan 2009 | A1 |
20090043610 | Nadas et al. | Feb 2009 | A1 |
20090048871 | Skomra | Feb 2009 | A1 |
20090095837 | Lindgren | Apr 2009 | A1 |
20090128330 | Monroe | May 2009 | A1 |
20090159714 | Coyne, III et al. | Jun 2009 | A1 |
20090217194 | Martin et al. | Aug 2009 | A1 |
20090245655 | Matsuzaka | Oct 2009 | A1 |
20100042430 | Bartfield | Feb 2010 | A1 |
20100050134 | Clarkson | Feb 2010 | A1 |
20100057646 | Martin et al. | Mar 2010 | A1 |
20100092093 | Akatsuka et al. | Apr 2010 | A1 |
20100136509 | Mejer et al. | Jun 2010 | A1 |
20100138154 | Kon et al. | Jun 2010 | A1 |
20100255598 | Melker | Oct 2010 | A1 |
20100262436 | Chen et al. | Oct 2010 | A1 |
20100316979 | Von Bismarck | Dec 2010 | A1 |
20110021952 | Vallone | Jan 2011 | A1 |
20110119073 | Hanina et al. | May 2011 | A1 |
20110153360 | Haninia et al. | Jun 2011 | A1 |
20110161109 | Pinsonneault et al. | Jun 2011 | A1 |
20110195520 | Leider et al. | Aug 2011 | A1 |
20110275051 | Hanina et al. | Nov 2011 | A1 |
20120011575 | Cheswick et al. | Jan 2012 | A1 |
20120075464 | Derenne et al. | Mar 2012 | A1 |
20120081551 | Mizuno et al. | Apr 2012 | A1 |
20120140068 | Monroe et al. | Jun 2012 | A1 |
20120182380 | Ohmae et al. | Jul 2012 | A1 |
Number | Date | Country |
---|---|---|
WO-2004091371 | Oct 2004 | WO |
WO 2009102861 | Aug 2009 | WO |
Entry |
---|
Ammouri, et al., “Face and Hands Detection and Tracking Applied to the Monitoring of Medication Intake,” Computer and Robot Vision, 2008. CRV '08. Canadian Conference, pp. 147, 154, May 28-30, 2008. |
Batz, et al. “A computer vision system for monitoring medication intake,” Proc. IEEE 2nd Canadian Conf. on Computer and Robot Vision, Victoria, BC, Canada, 2005, pp. 362-369. |
Bilodeau et al. “Monitoring of Medication Intake Using a Camera System” Journal of Medical Systems 2011. [retrieved on Feb. 181, 2013 Retrieved from ProQuest Technology Collection. |
Chen, Pauline W., “Texting as a Health Tool for Teenagers”, The New York Times, Nov. 5, 2009, http://www.nytimes.com/2009/11/05/health/05chen.html?_r=1&emc=. |
Danya International, Inc., “Pilot Study Using Cell Phones for Mobile Direct Observation Treatment to Monitor Medication Compliance of TB Patients”, Mar. 20, 2009, www.danya.com/MDOT.asp. |
Final Office Action from PTO, Citedin A1-0001-U1 (U.S. Appl. No. 12/620,686) dated Aug. 15, 2012, 1-24. |
Final Office Action from PTO, Citedin A1-0001-U2 (U.S. Appl. No. 13/558,377), dated May 7, 2013, 1-29. |
Final Office Action from PTO, Citedin A1-0002-U1 (U.S. Appl. No. 12/646,383) dated May 8, 2012, 1-31. |
Final Office Action from PTO, Cited in A1-0002-U2 (U.S. Appl. No. 13/588,380), dated Mar. 1, 2013, 1-27. |
Final Office Action from PTO, Cited in A1-0003-U1 dated Feb. 1, 2012, 1-17. |
Final Office Action from PTO, Cited in A1-0004-U1, (U.S. Appl. No. 12/728,721) dated Apr. 12, 2012, 1-31. |
Final Office Action from PTO, Cited in A1-0005-U1 (U.S. Appl. No. 12/815,037), dated Sep. 13, 2012, 1-15. |
Final Office Action from PTO, Cited in A1-0006-U1 (U.S. Appl. No. 12/899,510), dated Aug. 28, 2013. |
Final Office Action from PTO, Cited in A1-0008-U1 (U.S. Appl. No. 12/898,338), dated Nov. 9, 2012, 1-12. |
Final Office Action from PTO, Cited in A1-0012-U1 (U.S. Appl. No. 13/189,518) dated Jul. 23, 2013, 1-16. |
Global Tuberculosis Control: A short update to the 2009 report, World Health Organization (2009). |
Huynh et al., “Real time detection, tracking and recognition of medication intake” World Academy of Science, Engineering and Technology (2009) 60:280-287. |
International Preliminary Report on Patentability, cited in A1-0001-PCT1 (PCT/US2010/056935) (dated May 31, 2012) 1-8. |
Mintchell, “Exploring the Limits of Machine Vision” Automating World, Oct. 1, 2011. |
Non Final Office Action from PTO, Cited in A1-0004-U1 (dated Jan. 6, 2012), 1-31. |
Non-Final Office Action from PTO, Cited in A1-0001-U1 (U.S. Appl. No. 12/620,686), (dated Dec. 21, 2011),1-78. |
Non-Final Office Action from PTO, Cited in A1-0001-U2 (U.S. Appl. No. 13/558,377), (dated Oct. 22, 2012), 1-21. |
Non-Final Office Action from PTO, Cited in A1-0002-U1, dated (dated Dec. 22, 2011), 1-78. |
Non-Final Office Action from PTO, Cited in A1-0002-U2 (U.S. Appl. No. 13/558,380) (dated Oct. 4, 2012), 1-20. |
Non-Final Office Action from PTO, Cited in A1-0003-U1 (U.S. Appl. No. 12/646,603) (dated Jun. 13, 2013), 1-16. |
Non-Final Office Action from PTO, Cited in A1-0003-U1, (dated Oct. 13, 2011) 1-74. |
Non-Final Office Action from PTO, Cited in A1-0004-U1 (U.S. Appl. No. 12/728,721) (dated May 9, 2013), 1-25. |
Non-Final Office Action from PTO, Cited in A1-0005-U1 (U.S. Appl. No. 12/815,037) (dated Jul. 18, 2013), 1-19. |
Non-Final Office Action from PTO, Cited in A1-0005-U1, (dated Mar. 28, 2012), 1-17. |
Non-Final Office Action from PTO, Cited in A1-0006-U1 (U.S. Appl. No. 12/899,510), (dated Jan. 23, 2013), 1-20. |
Non-Final Office Action from PTO, Cited in A1-0008-U1 (U.S. Appl. No. 12/898,338) (dated Jun. 19, 2012), 1-16. |
Non-Final Office Action from PTO, Cited in A1-0012-U1 (U.S. Appl. No. 13/189,518) (dated Dec. 21, 2012), 1-10. |
Non-Final Office Action from PTO, Cited in A1-0013-U1 (U.S. Appl. No. 13/235,387) (dated Sep. 12, 2013), 1-16. |
Osterberg, Lars and Blaschke, Terrence, “Adherence to Medication”, New England Journal of Medicine 2005; 353:487-97, Aug. 4, 2005. |
PCT Search report and written opinion, Cited in A1-0001-PCT1 (PCT/US2010/56935) (dated Jan. 12, 11) 1-9. |
PCT Search report and written opinion, Cited in A1-0005-PCT1 (PCT/US2011/35093) (dated Sep. 12, 11) 1-8. |
PCT Search report and written opinion, Cited in A1-0006-PCT1 (PCT/US11/54666) (dated Feb. 28, 2012) 1-13. |
PCT Search report and written opinion, Cited in A1-0008-PCT1 (PCT/US11/54668) dated Feb. 28, 2012, 1-12. |
PCT Search report and written opinion, Citedin A1-0012-PCT1 (PCT/US12/41785, (dated Aug. 17, 2012), 1-10. |
PCT Search report and written opinion, Cited in A1-0013-PCT1 (PCT/US12/42843), (dated Aug. 31, 2012), 1-8. |
PCT Search report and written opinion, Cited in A1-0018-PCT1 (PCT/US2012/051554) (dated Oct. 19, 2012), 1-12. |
PCT Search report and written opinion, Cited in A1-0019-PCT (PCT/US12/59139) (dated Dec. 18, 2012), 1-15. |
PCT Search report and written Opinion, Citedin A1-0020-PCT1 (PCT/US13/20026) (dated Aug. 5, 2013), 1-14. |
Super-Resolution, Wikipedia, (Oct. 5, 10). |
University of Texas, GuideView Mar. 15, 2007, http://www.sahs.uth.tmc.edu/MSriram/GuideView/. |
Valin, et al. “Video Surveillance of Medication Intake”, Int. Conf. of the IEEE Engineering In Medicine and Biology Society, New York City, USA, Aug. 2006. |
Wang et al. “Recent developments in human motion analysis.” Pattern Recognition, (2003) 36:585-601. |
Whitecup, Morris S., “Patient Adherence Update: New Approaches for Success” Guideline Trend Report, Oct. 2008. |
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---|---|---|---|
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