Impact on clinical guideline adherence of Orient-COVID, a clinical decision support system based on dynamic decision trees for COVID19 management: A randomized simulation trial with medical trainees
The use of an interactive decision tree for the management of COVID-19 significantly improved the clinician adherence to guidelines. Future works will focus on the integration of the system to electronic health records and on the adaptation of the system to other clinical conditions.
Authors
- Rosy Tsopra (ORCID: https://orcid.org/0000-0002-9406-5547)
- Cynthia Abi Khalil (ORCID: https://orcid.org/0000-0001-9112-628X)
- Jean-Baptiste Lamy (ORCID: https://orcid.org/0000-0002-5477-180X)
- Melody Saikali
- Antoine Saab (ORCID: https://orcid.org/0000-0003-0673-0875)
- Charbel Mourad (ORCID: https://orcid.org/0000-0002-6600-5678)
- M. Jammal
Institutions
- Inserm (FR)
- Université Paris Cité (FR)
- Sorbonne Université (FR)
- Université Sorbonne Paris Nord (FR)
- Sorbonne Paris Cité (FR)
- Centre de Recherche des Cordeliers (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- Hôpital Européen Georges-Pompidou (FR)
- Lebanese Hospital Geitaoui-University Medical Center (LB)
- Centre de Recherche Saint-Antoine (FR)
- Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé
- Université Paris 1 Panthéon-Sorbonne (FR)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1016/j.ijmedinf.2024.105772
- Citations
- 1
- Primary Topic
- Clinical practice guidelines implementation
- Type
- article
- Field-Weighted Citation Impact
- 0.54
Funders
- Agence Nationale de la Recherche
- Centre National de la Recherche Scientifique
- Conseil National de la Recherche Scientifique