Medication List Reconciliation System for Data Conflict Resolution
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Solution Overview
Problem
Managing patient medication data becomes complex due to multiple prescriptions from various prescribers, leading to issues like duplicate medications, similar medications, and drug conflicts, which can result in adverse interactions and increased healthcare costs.
Innovation Solution
A computer-based system that consolidates medication data from multiple sources, identifies and resolves issues such as duplicates and conflicts by prompting patients for confirmation and allowing healthcare professionals to update prescriptions, while also offering cost-saving options and incentivizing adherence through a points system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If medication data is collected from multiple sources over time, then the medication list becomes more comprehensive, but the complexity of managing and reconciling the data increases
Solution Approach 1:
The system segments medication data into distinct categories (prescription medications, over-the-counter medications, supplements) and organizes them by source (different healthcare providers, pharmacies). This segmentation allows comprehensive data collection while making the data manageable through structured categorization and hierarchical organization.
Solution Approach 2:
The system introduces an intermediary reconciliation process that acts as a mediator between multiple data sources. This intermediary layer consolidates data from various providers and pharmacies, resolves conflicts automatically when possible, and presents a unified medication list to patients, reducing the perceived complexity while maintaining comprehensiveness.
2Adaptability or versatility
If multiple medications are prescribed by different healthcare providers, then more conditions can be treated, but the risk of duplicate medications and drug conflicts increases
Solution Approach 1:
The system implements automated feedback mechanisms that continuously monitor the medication list for duplicates, therapeutically equivalent medications, and potential drug conflicts. When issues are detected, the system provides feedback to both patients and healthcare providers, enabling timely resolution of problems while maintaining the ability to prescribe multiple medications for different conditions.
Solution Approach 2:
The system performs preliminary analysis of medication data to identify potential conflicts, duplicates, and interactions before they become harmful. By proactively detecting and alerting users to these issues beforehand, the system prevents adverse events while allowing comprehensive medication regimens to be maintained for treating multiple conditions.
3Ease of operation
If patients manually track their medications, then they maintain personal control, but errors and omissions increase over time
Solution Approach 1:
The system provides multiple functions within a single platform: automated data collection from providers and pharmacies, manual patient input capabilities, medication reconciliation, conflict detection, and communication with healthcare providers. This multi-functional approach maintains patient control while improving reliability through automated verification and professional review.
Solution Approach 2:
The system enables patients to self-manage their medication lists by reviewing consolidated data, confirming accuracy, and making corrections or additions. This self-service capability maintains patient control and engagement while the automated background processes ensure data completeness and accuracy through continuous reconciliation with provider and pharmacy records.
Data Source
AI summary
Systems, methods and devices for managing patient medication data which include, in one implementation, receiving medication data for a patient from multiple sources; reconciling the medication data from multiple sources to generate a reconciled list of medications for the patient; presenting the reconciled list to the patient in a user-interface; identifying a potential cost savings change for a prescribed medication on the list; presenting an indication of the cost savings change to the patient in the user-interface; receiving a selection of the potential cost savings for the prescribed medication from the patient; in response to receiving the selection, transmitting via a network a request for the cost savings change to a health-care professional; receiving an approval of the cost savings; and presenting to the patient an updated medication list, the updated the medication list updated according to the approval.