Patient Library Interface for Clinical Data Relevance

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Solution Overview

Problem

Current clinical information systems face challenges in efficiently identifying, analyzing, and presenting relevant information for healthcare professionals, particularly in radiology, due to the complexity of managing large datasets across multiple systems and the need for coherent patient stories, which hinders diagnosis and treatment efficiency.

Innovation Solution

A patient library interface that combines relevancy analysis with user feedback, utilizing natural language processing and machine learning to prioritize and present relevant clinical information, allowing users to customize and interact with comparison data, and update the system for improved future recommendations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If comprehensive clinical data from multiple systems is collected and presented, then the completeness of patient information is improved, but the complexity of managing and presenting the data increases

Engineering Contradiction:

Improvecompleteness of patient informationVSAvoidcomplexity of managing and presenting data

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The system segments clinical data by organizing it into distinct categories (imaging studies, laboratory results, clinical notes, etc.) and presents them in a structured timeline format. This allows comprehensive information to be maintained while reducing perceived complexity through logical grouping and hierarchical organization of data elements.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patient library interface acts as an intermediary layer between multiple clinical data systems and the radiologist. It consolidates data from various sources (PACS, RIS, EMR, LIS) into a unified view, managing the complexity of data integration while preserving access to complete clinical information through a single coordinated interface.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Loss of information

If all available clinical information is displayed, then the completeness of diagnostic data is improved, but the time required to review information increases

Engineering Contradiction:

Improvecompleteness of diagnostic dataVSAvoidtime required to review information

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system performs preliminary organization and curation of clinical data before presentation to the radiologist. Data is pre-sorted by relevance, chronologically arranged in a timeline, and automatically filtered to highlight key findings. This preliminary processing reduces review time while maintaining access to all diagnostic information when needed.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The interface provides dynamic filtering and sorting capabilities that allow radiologists to quickly adjust the view of clinical data based on immediate needs. Information can be dynamically reorganized by time period, modality, relevance, or specific clinical parameters, enabling efficient navigation through comprehensive data without fixed rigid structures.

Inventive Principle:

Principle #15Dynamics

3Ease of manufacture

If standardized clinical information interfaces are used, then the ease of system integration is improved, but the adaptability to specific clinical scenarios decreases

Engineering Contradiction:

Improveease of system integrationVSAvoidadaptability to specific clinical scenarios

Core Design Contradiction:

Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The patient library interface is designed as a universal platform that integrates with multiple standard clinical systems (PACS, RIS, EMR, LIS) through established interfaces. Simultaneously, it provides versatile customization options allowing adaptation to specific clinical scenarios through configurable filters, search parameters, and display preferences that can be tailored to different specialties and workflows.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system maintains standardized integration protocols while allowing dynamic parameter changes at the user level. Clinical scenarios can be customized by adjusting display parameters, filter criteria, data prioritization rules, and interface configurations without affecting the underlying standardized system connections. This enables the same integrated system to adapt to varying clinical needs through parameter adjustment rather than requiring custom integrations.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS10622105B2Patient library interface combining comparison information with feedback

Publication Date: 2020.04.14 GE PRECISION HEALTHCARE LLC

AI summary

Disclosed and described systems, methods, and apparatus provided facilitate analysis, presentation, and comparison of clinical information. An example system includes a processor configured to provide a patient library interface. The interface displays a plurality of events along a patient timeline and a list of items for comparison to a clinical scenario. The scenario is specified in an interface configuration to trigger collection of the list of comparison items. The processor receives and adds items to the list based on a relevancy analysis of each item to the clinical scenario. The processor facilitates feedback to add, remove, and rate relevance of item(s) in the list. The processor displays item(s) from the list in conjunction with documentation from the clinical scenario and facilitates user interaction with the item(s) and documentation. The processor updates a data source based on the user feedback and user interaction.