Real-Time Drug Interaction Screening for Online OTC Purchases
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Solution Overview
Problem
The lack of real-time drug interaction screening for over-the-counter (OTC) products purchased online, which can lead to potential drug-drug or drug-disease interactions, as there is no requirement for drug utilization review (DUR) for OTC purchases and limited access to pharmacists during internet transactions.
Innovation Solution
A computer system and method for real-time drug interaction screening that identifies potential interactions by linking OTC purchases to patient profiles, allowing pharmacists to perform DUR checks against prescription medications and providing alerts for severe interactions, and offering alternative products, while enabling patients to perform self-checks when the purchaser is not the patient.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time drug interaction screening is implemented for OTC online purchases, then patient safety is improved, but system complexity and operational requirements increase
Solution Approach 1:
The patent introduces a pharmacist as an intermediary who reviews OTC product selections and performs drug utilization review checks. The pharmacist acts as a mediator between the automated system and the patient, evaluating potential drug interactions and providing professional recommendations. This resolves the contradiction by maintaining high patient safety through professional review while managing system complexity through human expertise rather than purely automated complex systems.
Solution Approach 2:
The system enables patients to self-report their prescription medication usage and perform self-checks for potential interactions. Patients can input their own medication information and receive immediate feedback about potential drug interactions. This approach improves patient safety through active patient engagement while reducing system complexity by leveraging patient-provided information rather than requiring comprehensive automated tracking of all prescription medications.
2Measurement precision
If pharmacist review is required for all OTC online purchases, then interaction detection accuracy is improved, but processing time and operational burden increase
Solution Approach 1:
The system implements partial pharmacist review by focusing pharmacist attention only on cases where potential drug interactions are identified through preliminary screening. Rather than requiring pharmacists to review every single OTC purchase, the system uses automated screening to flag only those cases needing professional evaluation. This maintains high interaction detection accuracy for problematic cases while reducing overall processing time and operational burden.
Solution Approach 2:
The system performs preliminary automated screening and patient self-checks before pharmacist review to identify potential interactions in advance. This preliminary action filters out many cases that do not require pharmacist intervention, allowing pharmacists to focus their expertise on cases where it is most needed. This approach improves interaction detection accuracy for critical cases while minimizing processing time for routine purchases.
3Measurement precision
If comprehensive patient information collection is implemented, then DUR accuracy is improved, but privacy concerns and data collection complexity increase
Solution Approach 1:
The system extracts only the specific patient information necessary for drug utilization review purposes, such as current medication lists and relevant medical conditions. Rather than collecting comprehensive personal data, the system focuses on extracting only the pharmacologically relevant information needed to assess drug interactions. This improves DUR accuracy by ensuring all necessary medication data is captured while minimizing privacy concerns by limiting data collection to what is essential for safety assessment.
Data Source
AI summary
A computer system and computer implemented method for performing web-based drug interaction screening utilizing access a patient's prescription history stored in the pharmacy's prescription history or in the health plan's claim history.