Clinical Concept Score Generation from EHR Data

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Solution Overview

Problem

Conventional methods for summarizing patient medical conditions are subjective and lack comprehensive data analysis, making it difficult to compare patients with the same affliction effectively due to the paucity of considered data and the complexity of medical conditions.

Innovation Solution

A method that determines clinical concept scores by identifying keywords related to a clinical concept, extracting attributes from electronic health records (EHRs), generating statistically orthogonal attribute groups, and calculating attribute and group scores to provide an objective summary of a patient's medical condition.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If subjective experiences and observations are used to summarize patient conditions, then ease of operation is improved, but measurement precision deteriorates

Engineering Contradiction:

Improveease of summarizing patient conditionsVSAvoidprecision of medical condition assessment

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The patent replaces the manual, subjective assessment process with an automated computational system that processes EHR data. The system uses computer algorithms to extract, structure, and analyze clinical information, substituting human subjective judgment with objective computational analysis while maintaining ease of operation through automated processing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary computational layer between the raw EHR data and the final clinical assessment. This intermediary system structures unstructured data, extracts relevant attributes, and generates standardized scores, mediating between the complex raw data and the simplified clinical summary to improve precision without increasing operational complexity.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If comprehensive data analysis is performed on EHRs, then measurement precision is improved, but device complexity increases

Engineering Contradiction:

Improveprecision of patient condition comparisonVSAvoidcomplexity of data processing system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the complex EHR data into distinct structured attributes and categories. By breaking down comprehensive data into manageable components (demographics, clinical findings, laboratory results, etc.), the system can process each segment independently using standardized methods, reducing overall system complexity while maintaining comprehensive analysis capability.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent transforms unstructured EHR data into standardized numerical parameters and scores. By converting diverse clinical information into quantifiable attributes with defined measurement scales, the system enables precise comparisons while simplifying the processing through consistent parameter transformations rather than complex qualitative analysis.

Inventive Principle:

Principle #35Parameter changes

3Ease of operation

If existing scales are used for patient comparison, then ease of operation is improved, but measurement precision deteriorates due to paucity of data

Engineering Contradiction:

Improveease of patient comparisonVSAvoidaccuracy of condition severity assessment

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The patent creates a universal scoring system that can be applied across multiple patient populations and clinical conditions. The standardized attribute structure and measurement scales allow the same system to accurately assess diverse conditions by extracting relevant data from EHRs, providing both ease of operation through consistent methodology and improved precision through comprehensive data utilization.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS11335442B2Generation of concept scores based on analysis of clinical data

Publication Date: 2022.05.17 MERATIVE US LP

AI summary

Techniques for clinical concept score generation are provided. A set of keywords related to a clinical concept are determined, and a plurality of attributes is identified by searching a plurality of electronic health records (EHRs) based on the set of keywords. A plurality of attribute groups is generated, where each of the attribute groups is statistically orthogonal and includes at least one of the plurality of attributes, based on occurrence data extracted from the plurality of EHRs. For a patient, a plurality of attribute scores is determined for the plurality of attributes based on occurrence data extracted from one or more EHRs corresponding to the patient. A plurality of attribute group scores is determined, for the patient, for the plurality of attribute groups, based on the plurality of attribute scores. A clinical concept score is generated for the patient based on the plurality of attribute group scores.