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Planning a Collection of Virtual Patients to Train Clinical Reasoning: A Blueprint Representative of the European Population
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 edu...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140793/ https://www.ncbi.nlm.nih.gov/pubmed/35627711 http://dx.doi.org/10.3390/ijerph19106175 |
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author | Mayer, Anja Da Silva Domingues, Vital Hege, Inga Kononowicz, Andrzej A. Larrosa, Marcos Martínez-Jarreta, Begoña Rodriguez-Molina, Daloha Sousa-Pinto, Bernardo Sudacka, Małgorzata Morin, Luc |
author_facet | Mayer, Anja Da Silva Domingues, Vital Hege, Inga Kononowicz, Andrzej A. Larrosa, Marcos Martínez-Jarreta, Begoña Rodriguez-Molina, Daloha Sousa-Pinto, Bernardo Sudacka, Małgorzata Morin, Luc |
author_sort | Mayer, Anja |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9140793 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91407932022-05-28 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, Małgorzata Morin, Luc Int J Environ Res Public Health Article 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. MDPI 2022-05-19 /pmc/articles/PMC9140793/ /pubmed/35627711 http://dx.doi.org/10.3390/ijerph19106175 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mayer, Anja Da Silva Domingues, Vital Hege, Inga Kononowicz, Andrzej A. Larrosa, Marcos Martínez-Jarreta, Begoña Rodriguez-Molina, Daloha Sousa-Pinto, Bernardo Sudacka, Małgorzata Morin, Luc Planning a Collection of Virtual Patients to Train Clinical Reasoning: A Blueprint Representative of the European Population |
title | Planning a Collection of Virtual Patients to Train Clinical Reasoning: A Blueprint Representative of the European Population |
title_full | Planning a Collection of Virtual Patients to Train Clinical Reasoning: A Blueprint Representative of the European Population |
title_fullStr | Planning a Collection of Virtual Patients to Train Clinical Reasoning: A Blueprint Representative of the European Population |
title_full_unstemmed | Planning a Collection of Virtual Patients to Train Clinical Reasoning: A Blueprint Representative of the European Population |
title_short | Planning a Collection of Virtual Patients to Train Clinical Reasoning: A Blueprint Representative of the European Population |
title_sort | planning a collection of virtual patients to train clinical reasoning: a blueprint representative of the european population |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140793/ https://www.ncbi.nlm.nih.gov/pubmed/35627711 http://dx.doi.org/10.3390/ijerph19106175 |
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