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Pragmatic Considerations on Clinical Decision Support from the 2019 Literature
1Université Sorbonne Paris Nord, Sorbonne Université, INSERM, UMR_S 1142, LIMICS, Paris, France.
Research in computerized clinical decision support systems (CDSSs) is active, with 2019 highlighting pragmatic works. Three best papers were selected, focusing on interpretable models, chronic disease management formalization, and performance assessment frameworks for predictive tools.
Area of Science:
- Informatics
- Medical Informatics
- Clinical Decision Support
Background:
- Computerized clinical decision support systems (CDSSs) and computerized provider order entry (CPOE) are crucial in modern healthcare.
- Evaluating significant research contributions is essential for advancing the field.
Purpose of the Study:
- To identify and summarize key research from 2019 in computerized clinical decision support.
- To select the best papers for the Decision Support section of the IMIA Yearbook.
Main Methods:
- Bibliographic databases were searched for CDSS and CPOE related papers.
- Candidate papers were identified by section editors and peer-reviewed by external reviewers.
- The IMIA Yearbook editorial committee made the final selection based on reviews.
Main Results:
- 1,378 articles were retrieved, leading to 15 best paper candidates.
- Three best papers were selected, covering guideline modeling with decision trees, formalizing chronic disease processes with Timed Transition Diagrams, and a framework for assessing predictive tool performance.
- Selected papers emphasize clinical interpretability, formalization of recurrent medical processes, and critical appraisal of evidence.
Conclusions:
- Research in clinical decision support is highly active, as evidenced by the volume and diversity of publications.
- The 2019 selection emphasized practical research promoting transparency and trust in decision support tools.
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