Towards a Clinical Decision Support System for Helping Medical Students in Emergency Call Centers
| Autor: | Edouard Michot, Jules Woo, Louis Mouline, Catherine Sinnappan, Adrien Boukobza, Florence Campeotto, Laurent Dupic, Anita Burgun, Benoît Vivien, Rosy Tsopra |
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| Přispěvatelé: | GHU AP-HP Centre Université de Paris, CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Health data- and model- driven Knowledge Acquisition (HeKA), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), Funding This work is part of an innovative program named 'Artificial Intelligence for Clinical Decision Support', dedicated to undergraduate medical students, at Université de Paris., École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité)-École pratique des hautes études (EPHE), TSOPRA, Rosy |
| Rok vydání: | 2022 |
| Předmět: |
MESH: Pandemics
MESH: Humans Students Medical Clinical Decision Support System [SDV]Life Sciences [q-bio] [INFO] Computer Science [cs] Phone call triage Decision Support Systems Clinical [SDV] Life Sciences [q-bio] MESH: Call Centers MESH: Students Medical MESH: Child MESH: Decision Support Systems Clinical Digital Health Humans [INFO]Computer Science [cs] Pediatric Emergency Triage Child Call Centers Pandemics MESH: Triage |
| Zdroj: | Challenges of Trustable AI and Added-Value on Health Challenges of Trustable AI and Added-Value on Health, 294, IOS Press, pp.425-429, 2022, Studies in Health Technology and Informatics, ⟨10.3233/SHTI220494⟩ |
| ISSN: | 1879-8365 |
| DOI: | 10.3233/SHTI220494⟩ |
| Popis: | International audience; In critical situations such as pandemic, medical students are often called to help in emergency call centers. However, they may encounter difficulties in phone triage because of a lack of medical skills. Here, we aim at developing a Clinical Decision Support System for helping medical students in phone call triage of pediatric patients. The system is based on the PAT (Pediatric Assessment Triangle) and local guidelines. It is composed of two interfaces. The first allows a quick assessment of severity signs, and the second provides recommendations and additional elements such as “elements to keep in mind” or “medical advice to give to patient”. The system was evaluated by 20 medical students, with two fictive clinical cases. 75% of them found the content useful and clear, and the navigation easy. 65% would feel more reassured to have this system in emergency call centers. Further works are planned to improve the system before implementation in real-life. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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