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Planning a Collection of Virtual Patients to Train Clinical Reasoning: A Blueprint Representative of the European Population.
Mayer, Anja; Da Silva Domingues, Vital; Hege, Inga; Kononowicz, Andrzej A; Larrosa, Marcos; Martínez-Jarreta, Begoña; Rodriguez-Molina, Daloha; Sousa-Pinto, Bernardo; Sudacka, Malgorzata; Morin, Luc.
Afiliação
  • Mayer A; Medical Education Sciences, University of Augsburg, 86159 Augsburg, Germany.
  • Da Silva Domingues V; School of Medicine and Biomedical Sciences, University of Porto, 4050-513 Porto, Portugal.
  • Hege I; Medical Education Sciences, University of Augsburg, 86159 Augsburg, Germany.
  • Kononowicz AA; Department of Bioinformatics and Telemedicine, Jagiellonian University Medical College, 30-688 Krakow, Poland.
  • Larrosa M; Aragón Health Research Institute (IIS-Aragón), University of Zaragoza, 50009 Zaragoza, Spain.
  • Martínez-Jarreta B; Aragón Health Research Institute (IIS-Aragón), University of Zaragoza, 50009 Zaragoza, Spain.
  • Rodriguez-Molina D; Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, 80336 Munich, Germany.
  • Sousa-Pinto B; MEDCIDS-Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal.
  • Sudacka M; Department of Medical Education, Jagiellonian University Medical College, 30-688 Krakow, Poland.
  • Morin L; 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.
Article em En | MEDLINE | ID: mdl-35627711
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Competência Clínica / Raciocínio Clínico Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Competência Clínica / Raciocínio Clínico Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha