Program Optimization System for Automated Patient Data Analysis

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Solution Overview

Problem

The increasing complexity and pressure in patient diagnosis and treatment, particularly under downward price pressure on medical services, necessitate more efficient systems for physicians to manage patient data and treatment protocols effectively.

Innovation Solution

A program optimization system that retrieves and analyzes patient data from various sources, identifies relevant clinical results, and generates treatment protocols by comparing data to trigger conditions, facilitating the identification and categorization of patients for appropriate programs and tracking their progress through workflows.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If physicians manually manage patient data and treatment protocols, then they can provide personalized care, but the time and resources required increase significantly

Engineering Contradiction:

Improveease of patient data managementVSAvoidtime for treatment protocol implementation

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system enables automated self-service through trigger conditions that automatically identify patients needing specific treatments. The processor automatically compares patient data against trigger conditions, generates treatment protocols, and updates patient records without requiring manual physician intervention for each step, thereby reducing time loss while maintaining personalized care.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent introduces an intermediary automated processing system between raw patient data and physician decision-making. This intermediary system retrieves data from multiple sources, applies trigger conditions, generates treatment protocols, and presents structured recommendations to physicians, thereby easing the operational burden while preserving clinical judgment.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If multiple data sources are integrated to improve patient data completeness, then treatment accuracy improves, but system complexity increases

Engineering Contradiction:

Improveaccuracy of patient dataVSAvoidcomplexity of data management system

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements a universal data retrieval system that can access multiple different data sources (laboratory information systems, radiology information systems, electronic health records) through a common interface and standardized processing approach. This multi-functional system handles diverse data types uniformly, improving data completeness and accuracy while managing complexity through standardization.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system transforms data from various sources into a standardized format with consistent parameters and units before analysis. By changing the parameter representation to a universal standard, the system can accurately compare data across different sources without being overwhelmed by format diversity, thereby improving reliability while controlling complexity.

Inventive Principle:

Principle #35Parameter changes

3Productivity

If automated trigger conditions are used to identify patients for treatment, then productivity increases, but the risk of erroneous automated decisions increases

Engineering Contradiction:

Improveefficiency of patient identificationVSAvoidaccuracy of treatment recommendations

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system incorporates feedback mechanisms where trigger conditions are continuously refined based on treatment outcomes and clinical validation. The processor monitors the effectiveness of automated identifications and adjusts trigger thresholds accordingly, thereby maintaining high productivity while reducing erroneous decisions through continuous learning and validation.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent applies preliminary filtering and validation steps before final treatment recommendations are generated. The system performs initial patient identification using trigger conditions, then applies additional verification checks and presents results for physician review before implementation, thereby maintaining efficiency while reducing the risk of erroneous automated decisions.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS9734298B2Program optimization system

Publication Date: 2017.08.15 CHCA

AI summary

Program optimization systems are provided herein. The program optimization system can include a plurality of data sources that can be mined for information relating to one or several patients. The format and content of the information from the data sources can be evaluated and can be conformed to formats and content types used by the program optimization system. The information retrieved from the data sources can be evaluated for one or several trigger events. If a trigger event is identified in the retrieved data, a treatment protocol can be selected.