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Advancing clinical reasoning in virtual patients – development and application of a conceptual framework
Background: Clinical reasoning is a complex skill students have to acquire during their education. For educators it is difficult to explain their reasoning to students, because it is partly an automatic and unconscious process. Virtual Patients (VPs) are used to support the acquisition of clinical r...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
German Medical Science GMS Publishing House
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5827186/ https://www.ncbi.nlm.nih.gov/pubmed/29497697 http://dx.doi.org/10.3205/zma001159 |
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author | Hege, Inga Kononowicz, Andrzej A. Berman, Norman B. Lenzer, Benedikt Kiesewetter, Jan |
author_facet | Hege, Inga Kononowicz, Andrzej A. Berman, Norman B. Lenzer, Benedikt Kiesewetter, Jan |
author_sort | Hege, Inga |
collection | PubMed |
description | Background: Clinical reasoning is a complex skill students have to acquire during their education. For educators it is difficult to explain their reasoning to students, because it is partly an automatic and unconscious process. Virtual Patients (VPs) are used to support the acquisition of clinical reasoning skills in healthcare education. However, until now it remains unclear which features or settings of VPs optimally foster clinical reasoning. Therefore, our aims were to identify key concepts of the clinical reasoning process in a qualitative approach and draw conclusions on how each concept can be enhanced to advance the learning of clinical reasoning with virtual patients. Methods: We chose a grounded theory approach to identify key categories and concepts of learning clinical reasoning and develop a framework. Throughout this process, the emerging codes were discussed with a panel of interdisciplinary experts. In a second step we applied the framework to virtual patients. Results: Based on the data we identified the core category as the "multifactorial nature of learning clinical reasoning". This category is reflected in the following five main categories: Psychological Theories, Patient-centeredness, Context, Learner-centeredness, and Teaching/Assessment. Each category encompasses between four and six related concepts. Conclusions: With our approach we were able to elaborate how key categories and concepts of clinical reasoning can be applied to virtual patients. This includes aspects such as allowing learners to access a large number of VPs with adaptable levels of complexity and feedback or emphasizing dual processing, errors, and uncertainty. |
format | Online Article Text |
id | pubmed-5827186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | German Medical Science GMS Publishing House |
record_format | MEDLINE/PubMed |
spelling | pubmed-58271862018-03-01 Advancing clinical reasoning in virtual patients – development and application of a conceptual framework Hege, Inga Kononowicz, Andrzej A. Berman, Norman B. Lenzer, Benedikt Kiesewetter, Jan GMS J Med Educ Article Background: Clinical reasoning is a complex skill students have to acquire during their education. For educators it is difficult to explain their reasoning to students, because it is partly an automatic and unconscious process. Virtual Patients (VPs) are used to support the acquisition of clinical reasoning skills in healthcare education. However, until now it remains unclear which features or settings of VPs optimally foster clinical reasoning. Therefore, our aims were to identify key concepts of the clinical reasoning process in a qualitative approach and draw conclusions on how each concept can be enhanced to advance the learning of clinical reasoning with virtual patients. Methods: We chose a grounded theory approach to identify key categories and concepts of learning clinical reasoning and develop a framework. Throughout this process, the emerging codes were discussed with a panel of interdisciplinary experts. In a second step we applied the framework to virtual patients. Results: Based on the data we identified the core category as the "multifactorial nature of learning clinical reasoning". This category is reflected in the following five main categories: Psychological Theories, Patient-centeredness, Context, Learner-centeredness, and Teaching/Assessment. Each category encompasses between four and six related concepts. Conclusions: With our approach we were able to elaborate how key categories and concepts of clinical reasoning can be applied to virtual patients. This includes aspects such as allowing learners to access a large number of VPs with adaptable levels of complexity and feedback or emphasizing dual processing, errors, and uncertainty. German Medical Science GMS Publishing House 2018-02-15 /pmc/articles/PMC5827186/ /pubmed/29497697 http://dx.doi.org/10.3205/zma001159 Text en Copyright © 2018 Hege et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Hege, Inga Kononowicz, Andrzej A. Berman, Norman B. Lenzer, Benedikt Kiesewetter, Jan Advancing clinical reasoning in virtual patients – development and application of a conceptual framework |
title | Advancing clinical reasoning in virtual patients – development and application of a conceptual framework |
title_full | Advancing clinical reasoning in virtual patients – development and application of a conceptual framework |
title_fullStr | Advancing clinical reasoning in virtual patients – development and application of a conceptual framework |
title_full_unstemmed | Advancing clinical reasoning in virtual patients – development and application of a conceptual framework |
title_short | Advancing clinical reasoning in virtual patients – development and application of a conceptual framework |
title_sort | advancing clinical reasoning in virtual patients – development and application of a conceptual framework |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5827186/ https://www.ncbi.nlm.nih.gov/pubmed/29497697 http://dx.doi.org/10.3205/zma001159 |
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