Simulation Trials for Evaluating Clinical Decision Support Systems
The evaluation of clinical decision support systems (CDSS) during randomized clinical trials in very long and complex to set up. Simulation trials consist of evaluating the CDSS on fictitious patients. While they cannot entirely replace clinical trials, they are simpler to perform and offer additional possibilities. In this paper, we present recommendations for the design of simulation trials evaluating CDSS, based on the lessons learned during two recent studies. We also propose a model of protocol that maximizes statistical power and avoids several common biases, and an R code template for statistical analysis using linear mixed models.
Authors
- Sophie Dubois (ORCID: https://orcid.org/0000-0002-3326-4892)
- Hector Falcoff
- Rosy Tsopra (ORCID: https://orcid.org/0000-0002-9406-5547)
- Jean-Baptiste Lamy (ORCID: https://orcid.org/0000-0002-5477-180X)
- Pierre Meneton (ORCID: https://orcid.org/0000-0003-4611-1892)
- Antoine Saab (ORCID: https://orcid.org/0000-0003-0673-0875)
Institutions
- Inserm (FR)
- Université Paris Cité (FR)
- Sorbonne Université (FR)
- Université Sorbonne Paris Nord (FR)
- Sorbonne Paris Cité (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- Hôpital Européen Georges-Pompidou (FR)
- Hôpital Européen (FR)
- Lebanese Hospital Geitaoui-University Medical Center (LB)
- Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé
Publication Details
- Journal
- Studies in health technology and informatics
- Published
- 2025-05-15
- DOI
- https://doi.org/10.3233/shti250304
- Primary Topic
- Business Process Modeling and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Agence Nationale de la Recherche
- Centre National de la Recherche Scientifique
- Conseil National de la Recherche Scientifique