Dynamically Structured Health Files for Deidentified Longitudinal Analysis
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Solution Overview
Problem
Existing systems struggle to efficiently analyze and generate structured electronic health files that are accessible, easy to interpret, and visualize longitudinal health information while maintaining patient privacy and reducing processing power and memory requirements.
Innovation Solution
A method for generating a dynamically structured electronic file that combines deidentified protected health information with health care provider location information, using digital projection models to filter and format the data based on user-defined locations and file types, reducing unnecessary data and optimizing storage and processing needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If longitudinal health information is analyzed and structured electronic files are generated, then data accessibility and usability are improved, but processing power and memory requirements increase
Solution Approach 1:
The patent extracts and stores health information from multiple covered entities into a centralized longitudinal health information repository. By pre-extracting and organizing data before analysis requests, the system reduces the processing burden during actual analysis operations, allowing quick retrieval and structured file generation without reprocessing raw data from multiple sources.
Solution Approach 2:
The system performs preliminary actions by pre-structuring and organizing health information into standardized formats with consistent data elements and relationships. This preliminary structuring includes creating indexed repositories and pre-validated data models, so that when analysis requests come in, the system can quickly generate structured electronic files without performing extensive data transformation and validation during the analysis phase.
2Loss of information
If comprehensive health information is stored and analyzed, then data completeness is improved, but storage requirements and processing complexity increase
Solution Approach 1:
The patent applies local quality by creating standardized data structures with specific roles and relationships tailored to different health information types. Each data element is structured with appropriate local qualities (data types, validation rules, relationships) based on its specific purpose, allowing comprehensive data storage while maintaining organized, queryable structures that reduce processing complexity.
Solution Approach 2:
The system segments comprehensive health information into discrete, standardized data elements with defined relationships. By breaking down complex health records into structured components (patient demographics, clinical observations, measurements, etc.) with standardized schemas, the system maintains data completeness while enabling efficient querying and analysis through modular data structures.
3Object-affected harmful factors
If deidentified protected health information is used, then patient privacy is protected, but data utility for analysis is reduced
Solution Approach 1:
The patent uses deidentification as an intermediary process that transforms protected health information into a form suitable for analysis. By removing or masking personally identifiable information while preserving clinical data elements, the system creates an intermediate representation that protects patient privacy but maintains the utility of health information for research and analysis purposes.
Data Source
AI summary
A method for generating a dynamically structured electronic file associated with a defined location. The method includes receiving health information from a covered entity computing system and a file generation request from a user computing device. The method further includes combining HCP information with the health information and determining multiple digitally projected values using at least one digital projection model. The method further includes generating the electronic file including at least one digitally projected value and at least a portion of the HCP location information. The electronic file is generated as the file type identified by the file generation request, and is structured based on at least one of the file generation request or the file destination.