Medication Verification via Biometric Code Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current prescription drug control systems are insufficient as they cannot verify individual pills, leading to potential substitution or illegal possession, contributing to the prescription drug abuse epidemic.
Innovation Solution
A coding system where medications are marked with a unique code, such as a QR code, linked to patient information in a prescription database, allowing for secure verification of pill ownership through a mobile app or device, potentially using facial recognition or other biometrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a code system is implemented on individual pills, then verification accuracy and control over prescription medications is improved, but device complexity and implementation cost increases
Solution Approach 1:
The verification system segments the medication verification process into individual pill-level identification through unique codes, allowing precise tracking of each pill rather than verifying only the container. This segmentation enables accurate verification of individual pills while maintaining system manageability through modular implementation.
Solution Approach 2:
A mobile application serves as an intermediary between the physical pill code and the prescription database, simplifying the verification process. The mobile app captures images of the pill code, processes the information, and communicates with the database, thereby reducing the complexity burden on the overall system while maintaining high verification accuracy.
2Reliability
If individual pill verification is implemented, then control over controlled substances is improved, but loss of time for verification process increases
Solution Approach 1:
The system performs preliminary actions by pre-registering pill codes and prescription information in the database before verification is needed. When verification occurs, the system quickly matches the captured code against pre-stored information, significantly reducing verification time while maintaining reliable control over controlled substances.
Solution Approach 2:
The system replaces manual verification processes with automated image recognition and database matching. Instead of manual inspection and record-keeping, the mobile application automatically captures the pill code, processes it through image recognition, and verifies it against the database, dramatically reducing verification time while enhancing control effectiveness.
3Reliability
If comprehensive patient information is stored and verified, then security and legitimacy verification is improved, but privacy concerns and data protection requirements increase
Solution Approach 1:
The system applies local quality by storing and verifying only the specific patient information necessary for medication verification (name, prescription details, pill code) rather than comprehensive personal data. This targeted approach maintains legitimacy verification while minimizing privacy risks by limiting data collection to what is essential for the verification function.
Solution Approach 2:
The system implements feedback mechanisms where verification results are immediately communicated to the user through the mobile application. This real-time feedback allows for immediate confirmation of legitimate possession without requiring storage or transmission of excessive personal information, thereby maintaining security while reducing privacy exposure.
Data Source
AI summary
Systems and methods for verifying proper possession of a medication are disclosed. A reader device scans a code printed on the medication to extract an embedded serial number. The reader device captures biometric information of a person in possession of the medication. A first server queries a prescription database, which retrieves biometric characteristic data associated with the embedded serial number. A determination is made if the retrieved biometric characteristic data matches biometric characteristic data. The match information is displayed on the reader device.