Medical Data Curation System for Longitudinal Patient Records
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Managing and curating large-scale medical data scattered across multiple locations is challenging, as existing methods either require constant and costly data refreshment or result in stale and incomplete health records, making it difficult to generate a comprehensive patient record.
Innovation Solution
A system that curates medical data in response to meaningful trigger messages, aggregating data from various sources to create a longitudinal patient record with a completeness score, ensuring accuracy and comprehensiveness, and presenting it in a format relevant to different data consumers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data is constantly refreshed or updated across multiple locations, then data completeness is improved, but data management complexity increases
Solution Approach 1:
The patent introduces a data curation system that acts as an intermediary between multiple data sources and the final data consumer. This intermediary receives data from numerous care providers, hospitals, insurance companies, and pharmacies, curates it by removing duplicates and resolving conflicts, and delivers a single comprehensive data set. This mediator approach resolves the contradiction by centralizing management complexity while maintaining data completeness from distributed sources.
Solution Approach 2:
The patent merges data from multiple segmented sources into a unified comprehensive data set. By combining electronic health records, claims data, and other medical information from numerous entities into a single curated data profile, the system achieves complete data representation while simplifying management through consolidation rather than distributed handling.
2Loss of time
If data is constantly refreshed or updated across multiple locations, then data recency is improved, but processing cost increases
Solution Approach 1:
The patent implements periodic data curation triggered by specific events rather than continuous processing. Data is curated periodically when new information becomes available from data sources, such as when a new claim is submitted or a new electronic health record is generated. This event-driven periodic action maintains data recency by updating only when necessary, avoiding the continuous processing costs of constant refreshment.
Solution Approach 2:
The system enables data sources to self-submit new information through existing communication channels, eliminating the need for proactive polling or continuous querying. Data providers automatically send new data when it becomes available, and the curation system processes these submissions on demand, reducing processing costs while maintaining current data representation.
3Loss of information
If comprehensive data aggregation is performed across numerous entities, then data completeness is improved, but system complexity increases
Solution Approach 1:
The patent segments the data aggregation function into distinct modular components: data reception from multiple sources, data curation processing, completeness scoring, and data delivery. Each component handles a specific aspect of the aggregation process independently, reducing overall system complexity while achieving comprehensive data collection. The segmentation allows each module to be optimized and maintained separately.
Solution Approach 2:
The system implements feedback through completeness scores that measure how complete a patient's data is across all sources. This feedback mechanism guides the data aggregation process by identifying missing information and triggering targeted data retrieval efforts. The feedback loop simplifies complexity by providing clear metrics to guide comprehensive data collection without requiring manual monitoring of all data elements.
Data Source
AI summary
Methods and systems for aggregating and curating data are described. In one embodiment, a system comprises a database and a processor configured to (a) receive a trigger generated in response to an individual undergoing a medical event, (b) request data associated with the individual from various sources or channels in response to receiving the trigger, (c) curate data received from the various sources or channels in response to receiving the trigger, and (d) create or append a comprehensive data record based on the curated data received from the various sources or channels