Planning a Collection of Virtual Patients to Train Clinical Reasoning: A Blueprint Representative of the European Population

International Journal of Environmental Research and Public Health

Begoña Martínez-Jarreta¹  Marcos Larrosa¹  Andrzej A. Kononowicz²  Małgorzata Sudacka³  Daloha Rodriguez-Molina⁴  Bernardo Sousa-Pinto⁵  Anja Mayer⁶  Inga Hege⁶  Luc Morin⁷  Vital Da Silva Domingues⁸ 

[1] Aragón Health Research Institute (IIS-Aragón), University of Zaragoza, 50009 Zaragoza, Spain;Department of Bioinformatics and Telemedicine, Jagiellonian University Medical College, 30-688 Krakow, Poland;Department of Medical Education, Jagiellonian University Medical College, 30-688 Krakow, Poland;Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, 80336 Munich, Germany;MEDCIDS—Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal;Medical Education Sciences, University of Augsburg, 86159 Augsburg, Germany;Pediatric and Neonatal Intensive Care Unit, DMU 3 Santé de L’enfant et de L’adolescent, APHP Paris Saclay, Bicêtre Hospital, 94270 Le Kremlin-Bicêtre, France;School of Medicine and Biomedical Sciences, University of Porto, 4050-513 Porto, Portugal;

关键词: clinical reasoning;    medical education;    international collaboration;    virtual patients;    case-based learning;    open educational resources;   

DOI  :  10.3390/ijerph19106175

来源: DOAJ

【 摘 要 】

Background: Virtual patients (VPs) are a suitable method for students to train their clinical reasoning abilities. We describe a process of developing a blueprint for a diverse and realistic VP collection (prior to VP creation) that facilitates deliberate practice of clinical reasoning and meets educational requirements of medical schools. Methods: An international and interdisciplinary partnership of five European countries developed a blueprint for a collection of 200 VPs in four steps: (1) Defining the criteria (e.g., key symptoms, age, sex) and categorizing them into disease-, patient-, encounter- and learner-related, (2) Identifying data sources for assessing the representativeness of the collection, (3) Populating the blueprint, and (4) Refining and reaching consensus. Results: The blueprint is publicly available and covers 29 key symptoms and 176 final diagnoses including the most prevalent medical conditions in Europe. Moreover, our analyses showed that the blueprint appears to be representative of the European population. Conclusions: The development of the blueprint required a stepwise approach, which can be replicated for the creation of other VP or case collections. We consider the blueprint an appropriate starting point for the actual creation of the VPs, but constant updating and refining is needed.

【 授权许可】

Unknown