Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Exploratory study: Evaluation of a symptom checker effectiveness for providing a diagnosis and evaluating the situation emergency compared to emergency physicians using simulated and standardized patients
13
Zitationen
11
Autoren
2023
Jahr
Abstract
BACKGROUND: The overloading of health care systems is an international problem. In this context, new tools such as symptom checker (SC) are emerging to improve patient orientation and triage. This SC should be rigorously evaluated and we can take a cue from the way we evaluate medical students, using objective structured clinical examinations (OSCE) with simulated patients. OBJECTIVE: The main objective of this study was to evaluate the efficiency of a symptom checker versus emergency physicians using OSCEs as an assessment method. METHODS: We explored a method to evaluate the ability to set a diagnosis and evaluate the emergency of a situation with simulation. A panel of medical experts wrote 220 simulated patients cases. Each situation was played twice by an actor trained to the role: once for the SC, then for an emergency physician. Like a teleconsultation, only the patient's voice was accessible. We performed a prospective non-inferiority study. If primary analysis had failed to detect non-inferiority, we have planned a superiority analysis. RESULTS: The SC established only 30% of the main diagnosis as the emergency physician found 81% of these. The emergency physician was also superior compared to the SC in the suggestion of secondary diagnosis (92% versus 52%). In the matter of patient triage (vital emergency or not), there is still a medical superiority (96% versus 71%). We prove a non-inferiority of the SC compared to the physician in terms of interviewing time. CONCLUSIONS AND RELEVANCE: We should use simulated patients instead of clinical cases in order to evaluate the effectiveness of SCs.
Ähnliche Arbeiten
Machine Learning in Medicine
2019 · 3.752 Zit.
Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care
2006 · 3.173 Zit.
Effects of Computerized Clinical Decision Support Systems on Practitioner Performance and Patient Outcomes
2005 · 2.967 Zit.
Studies in health technology and informatics
2008 · 2.903 Zit.
An overview of clinical decision support systems: benefits, risks, and strategies for success
2020 · 2.707 Zit.
Autoren
Institutionen
- Georgia Tech Lorraine(FR)
- Centre National de la Recherche Scientifique(FR)
- Georgia Tech-CNRS Laboratory(FR)
- Centre Hospitalier Régional de Metz-Thionville(FR)
- Université de Lorraine(FR)
- Hôpital Paris Saint-Joseph(FR)
- Centre Hospitalier Universitaire de Rouen(FR)
- Université de Rouen Normandie(FR)
- Université Rennes 2(FR)
- Centre Hospitalier Universitaire de Rennes(FR)
- Centre Hospitalier d'Orsay(FR)
- Assistance Publique – Hôpitaux de Paris(FR)
- Hôpitaux Universitaires Paris-Ouest(FR)