Interactive Agent Interface for Health Plan Ranking From Unified Records
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Solution Overview
Problem
Individuals face challenges in accessing and integrating health records from disparate health care providers, insurance companies, and pharmacies, leading to incomplete and inconsistent health information, which hinders the determination of optimal health care plans and increases costs and uncertainty.
Innovation Solution
A computing system that compiles and translates health records from multiple sources into a centralized, user-friendly interface, verifies accuracy, identifies anomalies, and provides personalized health care planning and risk mitigation services, including dynamic scripting for call agents to optimize health care coverage during interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If health records are accessed from multiple disparate sources, then the comprehensiveness of health information is improved, but the complexity of data integration and verification increases
Solution Approach 1:
The patent segments the health record compilation process into distinct functional modules: data collection from multiple sources, data verification through dispute resolution interfaces, data translation from technical to plain language, and personalized health plan generation. This modular approach manages complexity while achieving comprehensive health information aggregation.
Solution Approach 2:
The patent introduces an intermediary computing system that acts as a mediator between disparate health care providers and the user. This intermediary automatically compiles, verifies, and translates health records, reducing the complexity burden from both the user and individual providers while achieving comprehensive data integration.
2Measurement precision
If extensive information gathering is performed during call sessions, then the accuracy of health care plan recommendations is improved, but the time required for service delivery increases
Solution Approach 1:
The patent performs preliminary actions by automatically compiling and verifying health records before the call session begins. The computing system proactively gathers health information from multiple providers, resolves disputes, and translates records into plain language in advance, so that during the call session, only personalized health plan recommendation remains, significantly reducing service delivery time while maintaining high accuracy.
3Ease of operation
If health records are translated into plain language, then the ease of understanding is improved, but the processing complexity increases
Solution Approach 1:
The patent implements self-service by having the computing system automatically perform the translation of technical health record terminology into plain language without requiring user intervention. The system autonomously identifies technical terms, translates them, and presents understandable health information to users, making complex processing transparent while improving ease of understanding.
4Reliability
If personalized health planning is provided based on individual health data, then the quality of health care services is improved, but the computational resources required increase
Solution Approach 1:
The patent optimizes computational resource usage by changing parameters in the health plan generation process: it uses verified health records with resolved disputes as input parameters, applies plain language translation to improve processing efficiency, and generates personalized health plans based on confirmed accurate data. This approach maintains high quality personalized recommendations while reducing computational burden through efficient data preparation and processing.
Data Source
AI summary
A computing system can obtain health record data of a user from health record sources. The system can generate, on a computing device of a call agent, an interactive agent interface comprising prepopulated data based on the health record data. Based on an interaction between the call agent and the user during a call session, the system can receive input data from the computing device of the call agent. Based on at least one of the health record data or the input data, the system can generate a set of health outcome predictions for the user, and based on the set of health outcome predictions, the input data, and the health record data, the system can generate a set of health care plan rankings for the user.