Dynamic Electronic Files from Deidentified Longitudinal Health Data

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Solution Overview

Problem

Existing systems face challenges in efficiently analyzing and generating structured electronic files from longitudinal health information due to the complexity of processing large volumes of deidentified protected health information (PHI), which requires significant memory and processing power, and often necessitate additional file conversions.

Innovation Solution

A system that dynamically structures electronic files based on user-defined specifications, utilizing deidentified PHI to associate and project health information, reducing unnecessary data and processing requirements by generating files in specified formats directly, thus minimizing memory and processing needs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional systems process large volumes of deidentified PHI to generate structured electronic files, then data completeness and accuracy are improved, but memory consumption and processing time increase significantly

Engineering Contradiction:

Improvedata accuracyVSAvoidprocessing power

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system performs deidentification of PHI before the main analysis and file generation processes. By removing personally identifiable information in advance, the system reduces data volume and complexity for subsequent processing steps, thereby lowering memory and CPU requirements while preserving the integrity of health information needed for accurate analysis

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system extracts only the necessary health information and projected values needed for the electronic file, excluding unnecessary personal identifiers and redundant data. This selective extraction maintains data accuracy for health metrics while significantly reducing the overall data volume that requires processing and storage

Inventive Principle:

Principle #2Taking out (Extraction)

2Measurement precision

If traditional systems process large volumes of deidentified PHI to generate structured electronic files, then data completeness and accuracy are improved, but memory consumption increases

Engineering Contradiction:

Improvedata accuracyVSAvoidmemory consumption

Core Design Contradiction:

Measurement precisionVSQuantity of substance

Solution Approach 1:

The system performs deidentification and initial data structuring before the main file generation process. By preparing and filtering data in advance, the system reduces the memory footprint during the computationally intensive projection and analysis phases, while ensuring data accuracy is maintained through systematic processing

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system divides the health information dataset into manageable segments based on deidentification results and projected values. This segmentation allows processing of smaller data chunks in memory at any given time, reducing peak memory consumption while maintaining complete and accurate data representation across all segments

Inventive Principle:

Principle #1Segmentation

3Adaptability or versatility

If the system generates files in multiple formats through conversion processes, then file shareability and versatility are improved, but processing time and complexity increase

Engineering Contradiction:

Improvefile format compatibilityVSAvoidfile conversion time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system structures the electronic file with a standardized internal format that incorporates all necessary data elements and projected values during the initial generation process. This preliminary structuring eliminates the need for subsequent format conversions, as the standardized format can be directly shared and processed by various systems, thereby reducing processing time while maintaining versatility

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system designs the electronic file structure to be universally compatible with multiple downstream applications and systems. By incorporating standardized data elements, projected values, and deidentified PHI in a universal format, the file can be directly utilized by different systems without requiring format conversion, thus reducing processing time while enhancing adaptability

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12424304B1Systems and methods for analyzing longitudinal health information and generating a dynamically structured electronic file

Publication Date: 2025.09.23 VEEVA SYSTEMS INC

AI summary

A method for generating an electronic file includes generating a health information request and providing the health information request to one or more covered entity computing systems. The method further includes receiving health information and health care provider (HCP) information associated with multiple HCPs. The method further includes combining the health information with at least a portion of the HCP information to generate combined health information. The method further includes determining multiple digitally projected values based on the combined health information using one or more digital projection models. Each digitally projected value of the plurality of digitally projected values is associated with an HCP of the multiple HCPs. The method further includes generating the electronic file including at least one digitally projected value of the multiple digitally projected values. The method further includes providing the electronic file to a file destination address.