Abstract: Arrangements are provided for “smart” functionality such as for tracking medication use to determine adherence, without requiring smart containers therefor. A bin is provided for receiving used/empty containers, packaging, or other discarded material incidental to the use of the medication. Sensors generate signals when the material is deposited within the bin, and a processor determines whether those signals correspond with the incidental material of interest. The processor also may identify when signals correspond with other, spurious material deposited in the bin. Responsive to a positive correspondence, a contextual event such as deposition of a used vial is stored, displayed, communicated, and/or otherwise registered. Contextual events, times therefor, lack of same, etc. are considered to provide authenticated determinations of adherence to a medication regimen.

Abstract: A body is configured to accept a medication container in a container cavity defined therein. The body may approximate a half-cylinder with the container disposed in the concavity, and held in place with flexure tabs or other restraints. A force sensor is disposed on the interior of the body in communication with the container cavity and container. Dispensing force applied to the container from the body side do not reach the container to dispense medication; dispensing force applied from the open side do, and also cause the container to press against the force sensor. This indirect, transmitted force is detected with the force sensor, and the force data is evaluated in a processor. In response to the force data corresponding with dispensing medication, the processor registers a medication event, such as by storing the event, displaying the event, or communicating the event to a third party.

Abstract: Various of the disclosed embodiments enable adherence to a medication regimen or a healthcare regimen to be monitored using a wearable system. The wearable system can be used to monitor a user's activities by recording activities using a camera that is placed at the anterior part of the user's wrist. The camera, or another sensor, can detect, identify, and verifying movements or gestures of the hand or fingers. A gesture may be a particular hand position, finger movement, or combination of finger movements that are indicative of performance of an activity required as part of a medication or healthcare regimen. The camera can generate a recording of an activity, and the wearable system or a distinct computing device can then analyze the recording and determine compliance to the medication or healthcare regimen based on what action(s), if any, were identified in the recording.

Abstract: Arrangements are provided for “smart” functionality such as for tracking medication use to determine adherence, without requiring smart containers therefor. A bin is provided for receiving used/empty containers, packaging, or other discarded material incidental to the use of the medication. Sensors generate signals when the material is deposited within the bin, and a processor determines whether those signals correspond with the incidental material of interest. The processor also may identify when signals correspond with other, spurious material deposited in the bin. Responsive to a positive correspondence, a contextual event such as deposition of a used vial is stored, displayed, communicated, and/or otherwise registered. Contextual events, times therefor, lack of same, etc. are considered to provide authenticated determinations of adherence to a medication regimen.

Abstract: Various of the disclosed embodiments enable adherence to a medication regimen or a healthcare regimen to be monitored using a wearable system. The wearable system can be used to monitor a user's activities by recording activities using a camera that is placed at the anterior part of the user's wrist. The camera, or another sensor, can detect, identify, and verifying movements or gestures of the hand or fingers. A gesture may be a particular hand position, finger movement, or combination of finger movements that are indicative of performance of an activity required as part of a medication or healthcare regimen. The camera can generate a recording of an activity, and the wearable system or a distinct computing device can then analyze the recording and determine compliance to the medication or healthcare regimen based on what action(s), if any, were identified in the recording.

Abstract: Sensors may be engaged with a container to provide data on how the container is manipulated. Data traces from those sensors exhibit signatures of events such as opening the container, dispensing medication, etc. Such medication events and contextual events provide authenticated data on the use of medication, as distinct from self-reported or predicted/modeled data. Multiple signatures may be combined to determine a confidence level for whether a medication has been taken, and/or aspects such as when, how, how much, etc. A container may be retrofitted by engaging a shoe containing sensors with the bottom of the container. Authenticated data may support improved selection and oversight of research subjects to reduce cost, time, etc. of clinical trials. Authenticated data also may support improved patient outcome. Pools of subjects and patients may be developed to inform selection of subjects and prescription of medications to patients.

Abstract: Various embodiments relate to systems and methods for monitoring adherence to a medication regimen through the use of a smart medication container. The container can include an electronic display that presents relevant information, such as dosage and/or medication information, instructions, user information, messages, notifications, and device information (e.g., battery status, network connectivity status). A pair of conductive elements positioned on either side of the container's opening can be configured to continually measure capacitance in order to identify when contents (e.g., pills) leave the container. More than one pair of conductive elements may be used to improve accuracy and reduce the effects of noise. A processor is able to analyze the capacitance data and determine whether medication has been dispensed from the container and, if so, how much medication was dispensed. A computer system can then compare the results to a planned medication regimen to determine a state of compliance.

Abstract: Various embodiments relate to systems and methods for monitoring adherence to a medication regimen through the use of a smart medication container. The container can include an electronic display that presents relevant information, such as dosage and/or medication information, instructions, user information, messages, notifications, and device information (e.g., battery status, network connectivity status). A pair of conductive elements positioned on either side of the container's opening can be configured to continually measure capacitance in order to identify when contents (e.g., pills) leave the container. More than one pair of conductive elements may be used to improve accuracy and reduce the effects of noise. A processor is able to analyze the capacitance data and determine whether medication has been dispensed from the container and, if so, how much medication was dispensed. A computer system can then compare the results to a planned medication regimen to determine a state of compliance.

Abstract: Various embodiments relate to systems and methods for monitoring adherence to a medication regimen through the use of a smart medication container. The container can include an electronic display that presents relevant information, such as dosage and/or medication information, instructions, user information, messages, notifications, and device information (e.g., battery status, network connectivity status). A pair of conductive elements positioned on either side of the container's opening can be configured to continually measure capacitance in order to identify when contents (e.g., pills) leave the container. More than one pair of conductive elements may be used to improve accuracy and reduce the effects of noise. A processor is able to analyze the capacitance data and determine whether medication has been dispensed from the container and, if so, how much medication was dispensed. A computer system can then compare the results to a planned medication regimen to determine a state of compliance.