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Effectiveness of Guideline-Based Clinical Decision Support Systems: Protocol for a Systematic Review
Berkay Newroz Aksu1,2, Bora Gashi1, Fridtjof Schiefenhövel1,2
1Chair of Medical Informatics, Institute of Artificial Intelligence and Informatics in Medicine, TUM University Hospital, School of Medicine and Health, Technical University of Munich, Ismaninger 22, Munich, 81675, Germany, 49 89 4140 4320.
This systematic review examines guideline-based clinical decision support systems (CDSS) and their impact on patient outcomes. It synthesizes evidence from randomized controlled trials, highlighting the need for clear integration of clinical guidelines (CGs) in CDSS for improved healthcare.
Area of Science:
- Health Informatics
- Clinical Decision Support Systems
- Evidence-Based Medicine
Background:
- Clinical guidelines (CGs) standardize care, but their application via clinical decision support systems (CDSS) often lacks clear scientific basis.
- A systematic literature review is necessary to understand the integration of CGs within CDSS.
- The current state of CDSS, focusing on CG integration, requires examination.
Purpose of the Study:
- To systematically collect, describe, and synthesize evidence from randomized controlled studies.
- To evaluate interventions using CDSS with well-defined integration of evidence-based CGs.
- To assess the direct medical outcomes influenced by these guideline-based CDSS.
Main Methods:
- Adherence to PRISMA and PRISMA-ScR guidelines for systematic reviews.
- Inclusion of randomized controlled studies evaluating guideline-based CDSS with clear technical descriptions and algorithms.
- Searches conducted on Web of Science (including MEDLINE) and Scopus.
Main Results:
- 18 papers were included after screening 6203 records.
- The review explores the effectiveness of guideline-based CDSS in improving clinical outcomes.
- Study heterogeneity was identified as a potential limitation.
Conclusions:
- This is the first rigorous systematic review detailing the technical integration of CGs in CDSS.
- The review aims to identify best practices and challenges in guideline-based CDSS.
- Future research directions and areas for investigation are highlighted.
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