Automated Patient Population Analytics with Visual Status Indicators

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Solution Overview

Problem

Current systems for evaluating patient populations are tedious and prone to human error, requiring manual analysis to determine why patients are included or excluded from populations for analytics.

Innovation Solution

A machine-implemented method and system that analyzes and tracks results of multiple conditions associated with population criteria, using processing devices to perform analytics and selectively track results, presenting the status of entities relative to the analytics, potentially through visual means like color coding or highlighting.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual analysis is used to determine patient inclusion or exclusion from populations, then human error is reduced through careful review, but the process becomes tedious and time-consuming

Engineering Contradiction:

Improveaccuracy of population evaluationVSAvoidtime required for manual data analysis

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces the mechanical manual analysis process with an automated computer-based system that evaluates population criteria against patient data. The system automatically performs analytics, tracks condition results, and generates visual outputs, eliminating the need for manual data access and analysis while maintaining evaluation accuracy.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service automation where the computer automatically accesses patient data, evaluates population criteria, tracks condition results, and generates visual reports without human intervention. The automated process serves itself by performing all analytical tasks that previously required manual human effort.

Inventive Principle:

Principle #25Self-service

2Loss of information

If manual data access and analysis is performed to evaluate conditions, then detailed understanding of inclusion/exclusion reasons is achieved, but the process is tedious and subject to human error

Engineering Contradiction:

Improvecompleteness of condition evaluation informationVSAvoidease of population criteria evaluation

Core Design Contradiction:

Loss of informationVSEase of operation

Solution Approach 1:

The patent replaces manual data access and analysis with an automated computer-based system that retrieves patient data, evaluates population criteria, and tracks condition results. The system maintains complete information about inclusion/exclusion reasons while eliminating the tedium and error-proneness of manual processes.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system introduces an intermediary automated processing layer between the raw patient data and the final evaluation results. This intermediary automatically accesses data, evaluates conditions, tracks results, and presents information in a structured visual format, making the process easier to operate while preserving information completeness.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If automated analysis is implemented to evaluate population criteria, then time consumption is reduced, but visual clarity of results may be compromised

Engineering Contradiction:

Improvespeed of population evaluationVSAvoidclarity of inclusion/exclusion reasons

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The patent employs color-coded visual indicators to represent different condition evaluation results. The system automatically assigns colors to indicate whether conditions are met or not met, providing clear visual distinction of inclusion/exclusion reasons while maintaining high processing speed through automated analysis.

Inventive Principle:

Principle #32Color changes

Solution Approach 2:

The system segments the evaluation results into distinct visual components, with each condition represented separately with its own visual indicator. This segmentation allows rapid automated processing while maintaining clarity by presenting each condition's status independently and distinctly.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS11120915B2Evidence analysis and presentation to indicate reasons for membership in populations

Publication Date: 2021.09.14 MERATIVE US LP

AI summary

A method, a machine-readable storage medium and at least one processing device are provided for analyzing and tracking results of multiple conditions associated with a population criteria, which is evaluated for each entity of at least one entity. The at least one processing device performs analytics associated with the population criteria, which is evaluated for each entity. Results of the analyzing of the multiple conditions are selectively tracked by the at least one processing device. The at least one processing device presents the tracked results to indicate a status of the at least one entity with respect to the tracked analytics.