Medication Adherence Prediction via Biometric Feedback
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Solution Overview
Problem
Conventional medication assistance devices fail to effectively increase dosing adherence rates as users become accustomed to notifications, leading to reduced medication efficacy and adherence.
Innovation Solution
A medication assistance information providing device that acquires prescription information, dosing adherence rate data, and biometric data to predict changes in biometric values based on adherence rates, providing users with motivation to improve adherence through personalized feedback and deterrent information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional notification devices are used to remind users to take medicine, then users receive timely reminders, but users become accustomed to notifications and dosing adherence rate decreases
Solution Approach 1:
The system implements feedback by providing users with predicted biometric value changes based on their dosing adherence rate. This feedback loop motivates users to improve adherence by showing them the direct impact of their medication-taking behavior on their health outcomes, rather than relying on simple reminders that users ignore.
Solution Approach 2:
The system changes the parameter being monitored from simple dosing adherence to predicted biometric value changes. By translating adherence data into meaningful health outcome predictions, the system makes the abstract concept of adherence tangible and motivating for users.
2Measurement precision
If medical personnel monitor dosing status of multiple users, then dosing adherence can be detected, but it is difficult to identify whether medicine has been taken according to schedule for all users
Solution Approach 1:
The system enables self-service by allowing users to automatically input their dosing status through the terminal device. This eliminates the need for medical personnel to manually monitor each user, as users themselves report their adherence status, which is then used to generate personalized predictions and feedback.
Solution Approach 2:
The system replaces the mechanical monitoring process with an automated information processing system. Instead of manual tracking and analysis by medical personnel, the system uses computational algorithms to process dosing data and generate biometric value predictions automatically.
3Reliability
If dosing information is compared to medication schedule to detect forgotten doses, then forgetting can be identified, but the problem of user intention and sustained adherence is not resolved
Solution Approach 1:
The system adds another dimension to dosing monitoring by incorporating predicted biometric value changes. Instead of only tracking whether doses were taken, the system projects future health outcomes based on adherence patterns, providing users with forward-looking information that motivates sustained adherence.
Data Source
AI summary
The present invention provides prediction information for an effect of taking a medicine on a biometric value. A medication assistance information providing device includes a first acquisition unit configured to acquire prescription information related to a medicine that a user plans to take, a second acquisition unit configured to acquire dosing adherence rate information including a dosing adherence rate representing a medication achievement of the user with respect to a dosage specified by the prescription information, a third acquisition unit configured to acquire change prediction information for a biometric value of the user relative to the dosing adherence rate on the basis of the prescription information and the dosing adherence rate information, and a first provision unit configured to provide the change prediction information for the biometric value.