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In Silico Evaluation of Algorithm-Based Clinical Decision Support Systems: Protocol for a Scoping Review.
Michael Dorosan1, Ya-Lin Chen2, Qingyuan Zhuang3,4,5
1Health Services Research Centre, Singapore Health Services Pte Ltd, Singapore, Singapore.
JMIR Research Protocols
|January 17, 2025
Summary
This review protocol outlines in silico evaluation methods for algorithm-based clinical decision support (CDS) systems. It aims to assess potential impacts in simulated environments before clinical trials, bridging the development-deployment gap.
Area of Science:
- Health Informatics
- Artificial Intelligence in Medicine
- Clinical Decision Support Systems
Background:
- Evaluating the clinical value of algorithm-based clinical decision support (CDS) systems is challenging.
- Traditional methods rely on resource-intensive clinical trials.
- There is a need for efficient pre-implementation evaluation strategies.
Purpose of the Study:
- To present a review protocol for in silico evaluation methods of algorithm-based CDS.
- To enable broadened impact analysis in simulated environments prior to clinical trials.
- To identify research gaps in the in silico evaluation of CDS models.
Main Methods:
- A scoping review protocol based on the Arksey and O'Malley framework and PRISMA-ScR guidelines.
- Searches across multiple databases including PubMed, Embase, and IEEE Xplore.
- A 2-stage screening process and iterative data refinement.
- Thematic, trend, and descriptive analyses for scoping aims.
Main Results:
- An automated search was conducted in May 2023.
- 21 articles were selected by April 2024 for data extraction and analysis.
- Full-text screening and analysis are ongoing, with finalization planned for July 2024.
Conclusions:
- Anticipated findings will contribute to a unified in silico evaluation framework for CDS.
- The framework will detail clinical decision-making characteristics, impact measures, and method reusability.
- The study aims to bridge the development-deployment gap for CDS systems through in silico evaluation.
Keywords:
algorithm-basedclinical decisionclinical decision support algorithmsclinical decision-makingclinical workflow simulationdecision supportdecision-makingdescriptive analysisdigital twinhealth care modelingin silico evaluationprotocolquadruple aimsscoping reviewscreeningsupport systemthematic analysisworkflow
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