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Concurrent Execution of Multiple Computer-interpretable Clinical Practice Guidelines and Their Interrelations.

Eda Bilici¹, George Despotou¹, Theodoros N Arvanitis¹

¹Institute of Digital Healthcare, WMG, University of Warwick, Coventry CV4 7AL, UK.

Studies in Health Technology and Informatics

|July 27, 2019

Summary

This summary is machine-generated.

This study presents a framework for managing multiple computer-interpretable guidelines (CIGs) to create patient-centered care plans for complex conditions. It enables monitoring through clinical decision support systems.

Keywords:

Computer-interpretable Guideline Constraint Satisfaction Model Transformation Model-Driven Engineering Multimorbidity Personal Care Plan

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Area of Science:

Health Informatics
Clinical Decision Support
Artificial Intelligence in Medicine

Background:

Managing patients with multiple chronic conditions (multimorbidity) requires integrated care planning.
Existing clinical guidelines are often difficult to implement concurrently and systematically.
Clinical decision support systems (CDSS) can aid in monitoring complex patient care.

Purpose of the Study:

To introduce an execution framework for managing multiple, concurrently implemented computer-interpretable guidelines (CIGs).
To facilitate the creation of patient-centered care plans for individuals with multimorbidity.
To enable effective monitoring of care plans using clinical decision support systems.

Main Methods:

Development of an execution framework designed to handle multiple CIGs simultaneously.
Application of constraint satisfaction techniques to manage guideline interactions and dependencies.
Integration with clinical decision support systems for real-time patient care monitoring.

Main Results:

Demonstrated feasibility of concurrently executing multiple CIGs within the proposed framework.
Enabled the generation of comprehensive, patient-centered care plans for multimorbidity.
Showcased the framework's capability to support CDSS for guideline adherence.

Conclusions:

The developed framework effectively manages concurrent CIG execution for multimorbidity care.
This approach enhances the creation and monitoring of patient-centered care plans.
It represents a significant step towards more integrated and automated clinical decision support.