Event-Based Healthcare Data Object Linking System
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Solution Overview
Problem
Healthcare data integration systems face complexity in linking records across multiple source systems, leading to processing-intensive and burdensome tasks due to the organization's complicated structure and the need to associate data objects from various events for common entities.
Innovation Solution
A system utilizing a processor to compare and link data objects associated with common events across multiple source systems, employing event-based information to identify candidate data objects and form a set of data objects representing the common event, thereby streamlining data management and collaboration within and between healthcare organizations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data objects from multiple source systems are compared and linked manually, then data integration accuracy is improved, but processing time and computational resources increase significantly
Solution Approach 1:
The patent replaces manual mechanical comparison processes with automated computational algorithms that use event-based information (dates, locations, providers) to automatically match and link data objects across source systems, significantly reducing processing time while maintaining accuracy
Solution Approach 2:
The patent changes the approach from comparing all data objects directly to comparing specific event parameters (event date, event location, provider name) to identify matches, which reduces the computational complexity and processing time required for data integration
2Measurement precision
If data objects from multiple source systems are compared and linked manually, then data integration accuracy is improved, but processing resources and complexity increase significantly
Solution Approach 1:
The patent segments the data integration process into distinct stages: extracting event information from data objects, comparing event parameters across source systems, and linking matched data objects. This segmentation simplifies the overall processing complexity by breaking down the complex task into manageable steps
Solution Approach 2:
The patent introduces event-based information (event date, event location, provider name) as an intermediary key to link data objects from different source systems, rather than directly comparing all data attributes, which reduces processing complexity while maintaining integration accuracy
3Device complexity
If traditional systems are used to manage healthcare data, then system simplicity is maintained, but data availability and accuracy for medical professionals deteriorates
Solution Approach 1:
The patent merges data objects from multiple source systems into unified patient records by using event-based information as the linking key, creating a comprehensive data view that improves data availability and accuracy while maintaining reasonable system architecture through modular design
Data Source
AI summary
A system links data objects associated with a common event and includes at least one processor. The system compares data objects associated with an entity and corresponding to a plurality of events for the entity, wherein the data objects are stored within a plurality of different source systems. Candidate data objects associated with a common event for the entity are identified based on the comparing. The candidate data objects are linked to form a set of data objects representing the common event for the entity. Embodiments of the present invention further include a method and computer program product for linking data objects associated with a common entity.