Dynamic Health Templates for Multi-Source EHR Data Integration

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Solution Overview

Problem

Current electronic health record (EHR) systems are inefficient and error-prone, requiring manual data input and retrieval, leading to cognitive overload and inconsistent information access, especially in high-pressure environments like emergency departments, where timely and accurate patient diagnosis is critical.

Innovation Solution

A system that generates dynamic health management templates by retrieving and populating data fields with patient information, using collaborative filtering to update templates based on user inputs, such as search requests or data option selections, allowing for easy access and combination of information from multiple sources, including EHRs and health information exchanges.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual data input and retrieval methods are used in EHR systems, then clinicians can access patient information, but the process becomes slow, error-prone, and cognitively overwhelming

Engineering Contradiction:

Improveinformation retrieval efficiencyVSAvoiddiagnosis accuracy

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system automatically retrieves and integrates patient information from multiple EHR sources without requiring manual data entry by clinicians. The collaborative filtering algorithm autonomously identifies and prioritizes relevant data, allowing the system to serve itself in curating information while reducing clinician workload and errors

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical processes of data retrieval and integration with automated computational systems. Collaborative filtering algorithms and information integration software substitute for manual clinician efforts in searching and synthesizing patient data across multiple sources

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If comprehensive patient information is made available from multiple sources, then diagnostic accuracy improves, but information overload increases and cognitive burden rises

Engineering Contradiction:

Improvediagnosis accuracyVSAvoidcognitive load

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The system extracts only the most relevant patient information from comprehensive multi-source data using collaborative filtering algorithms. By identifying and extracting key diagnostic elements while filtering out redundant information, the system provides comprehensive data coverage without overwhelming clinicians with unnecessary details

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent applies different levels of information detail to different clinical contexts and patient scenarios. The system dynamically adjusts the granularity and depth of information presentation based on the specific diagnostic needs, providing detailed data where necessary and summarized views where appropriate

Inventive Principle:

Principle #3Local quality

3Stability of the object's composition

If standardized information templates are used in EHR systems, then data consistency improves, but adaptability to different clinical scenarios decreases

Engineering Contradiction:

Improvedata consistencyVSAvoidclinical scenario flexibility

Core Design Contradiction:

Stability of the object's compositionVSAdaptability or versatility

Solution Approach 1:

The system dynamically adapts standardized information templates to different clinical scenarios through collaborative filtering. While maintaining a core structured framework for data consistency, the system automatically adjusts template content, priorities, and presentations based on real-time analysis of clinical context, patient history, and diagnostic needs

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent creates information templates that serve multiple functions across different clinical scenarios. A single adaptive template structure can handle various diagnostic situations by dynamically incorporating relevant data elements from multiple EHR sources, making the template universally applicable while maintaining scenario-specific relevance

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20240339185A1Systems and methods for accessing, combining and collaborative filtering of information from multiple electronic health records

Publication Date: 2024.10.10 INDIANA UNIVERSITY RESEARCH & TECHNOLOGY CORP

AI summary

Methods for generating a health management template for a patient condition including retrieving a healthcare template corresponding to a patient condition, the healthcare template comprising a plurality of data fields, populating the data fields with patient data; and generating an updated healthcare template based on a user input, wherein the user input comprises at least one of a search request or a data option selection are disclosed. Systems are also disclosed.