Activity Tag Reader for Medication Adherence Tracking
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Solution Overview
Problem
Current electronic activity monitoring systems fail to provide a user-friendly and automated solution for tracking medication adherence, often leading to forgotten doses due to lack of configurability and assistance in identifying the correct medication at the right time.
Innovation Solution
An activity tag reader system that includes a scanner, display, and computer with user interaction buttons, capable of detecting machine-readable tags on medication containers, providing visual and auditory feedback to remind users of scheduled activities and track adherence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional tracking systems provide machine readable elements with sufficient memory and information, then the system can store detailed medication information, but the user is left without assistance in identifying the correct container at the right time
Solution Approach 1:
The system divides information into two segments: machine-readable data (stored in RFID/NFC tags for system processing) and human-readable icons (displayed on container labels for user identification). This segmentation allows each type of information to serve its specific purpose without interfering with the other.
Solution Approach 2:
The monitoring system acts as an intermediary between the machine-readable tags and the user. It reads the tag data, processes it, and presents simplified visual icons to the user, thereby bridging the gap between complex machine data and simple user identification needs.
2Loss of information
If electronic activity monitoring systems provide detailed information about medication contents, then users can identify the correct medication, but the system becomes complex and less user-friendly
Solution Approach 1:
The system extracts only the essential identification information from the full medication data set and presents it as simple visual icons. Detailed information remains stored in the system but is not displayed, reducing interface complexity while retaining full functionality.
Solution Approach 2:
Different parts of the system provide different levels of information detail. The container labels and user interface display simple icons for quick identification, while the backend system maintains comprehensive medication information for accurate tracking and monitoring.
3Reliability
If the system provides automated reminders and tracking, then medication adherence improves, but the system requires configurability and user setup time
Solution Approach 1:
The system performs preliminary configuration by automatically reading medication information from tags and pre-setting reminder schedules based on the stored data. This reduces the user setup burden while maintaining the reliability of automated adherence tracking.
Data Source
AI summary
Aspects of the present invention provides a system for monitoring and reminding a user of specific activities. In one embodiment, a machine detectable element is provided to an appropriate contactless reader that, when read, provides a proxy for the user completing the activity. Schedule and adherence information may be provided via a display-containing portable electronic device that may also be configured as the contactless reader. The system may also be configured to provide reminders or other information to the user or third parties.