Medication Risk Mitigation System Integrating Prescriber and Pharmacist Data
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Solution Overview
Problem
Current systems fail to effectively combine intrinsic and extrinsic data sources to prevent harmful medication interactions and patient-specific risks, leading to medication-related morbidity and mortality.
Innovation Solution
A network-linked computer program product that performs prospective, concurrent, and retrospective interventions by comparing medication inputs with intrinsic and extrinsic data sources to identify contraindications, allowing prescribers and pharmacists to modify prescriptions and reduce medication risks through a web/cloud platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If prescribers and pharmacists use traditional separate systems for medication management, then system simplicity is maintained, but medication safety and ability to detect contraindications deteriorates
Solution Approach 1:
The patent merges prescriber and pharmacist systems into a single integrated platform where both roles access and modify medication regimens through one unified interface. The system combines prescriber inputs with pharmacist reviews and automatically compares them against intrinsic (patient-specific) and extrinsic (general population) data sources to detect contraindications, thereby improving medication safety while maintaining a single system architecture rather than separate silos.
Solution Approach 2:
The system serves multiple functions within a single platform: it stores patient data, receives prescriber inputs, performs automatic contraindication checking against multiple data sources, enables pharmacist review and modification, and provides retrospective analysis. This multi-functionality consolidates what would traditionally require separate systems into one universal medication management solution.
2Reliability
If the system integrates multiple data sources for comprehensive medication review, then medication safety improves, but processing time and system complexity increase
Solution Approach 1:
The system pre-loads and maintains databases of intrinsic and extrinsic data sources including patient-specific information, medication interaction databases, and contraindication guidelines. When a prescriber inputs a medication regimen, the system immediately queries pre-organized data structures rather than retrieving information in real-time from disparate sources, significantly reducing processing time while maintaining comprehensive review capabilities.
Solution Approach 2:
The system segments the data review process into distinct modules: intrinsic component analysis (patient-specific factors), extrinsic component analysis (general population data), and contraindication matching. Each module operates independently on specific data subsets, allowing parallel processing and reducing overall time compared to a monolithic review approach.
3Reliability
If the system provides comprehensive medication monitoring including retrospective review, then medication safety improves, but operational complexity increases
Solution Approach 1:
The system implements automated feedback loops that continuously monitor medication regimens against updated data sources. Retrospective review automatically compares historical prescriptions against current patient status and emerging contraindication knowledge, generating alerts and recommendations without requiring manual re-evaluation. This automated feedback mechanism maintains high safety standards while reducing operational burden on prescribers and pharmacists.
Solution Approach 2:
The system performs self-service monitoring by automatically comparing medication inputs against intrinsic and extrinsic data sources, generating its own contraindication alerts and safety assessments without requiring manual review of every detail. The system self-updates its knowledge base and autonomously conducts retrospective analyses, reducing the need for complex manual operational procedures.
Data Source
AI summary
A medication risk mitigation method utilizing three interventions: a prospective intervention performed by a prescriber, a concurrent intervention performed by a pharmacist and a retroactive intervention performed by a pharmacist. At each intervention, the system of the instant invention utilizes a computer program to compare each prescribed medication to a series of intrinsic and extrinsic data sources in order to identify potential contraindications and, if necessary, modify a prescription. The system also permits secure messaging between prescribers and pharmacists, each with access to the computer program, so as to facilitate communication and reduce medication risks. The system of this invention also permits modeling for hypothetical medication modifications based on the same intrinsic and extrinsic data sources.