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Clinical reasoning assessment through medical expertise theories: past, present and future directions
Exploration into the concept of "medical expert" dates back to more than 50 years ago, yet yielding three leading theories in the area of clinical reasoning, namely, knowledge structure, hypotheticdeductive, and dual process. Each theory defines "medical expert" in a dissimilar w...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Iran University of Medical Sciences
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4606956/ https://www.ncbi.nlm.nih.gov/pubmed/26478880 |
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author | Boushehri, Elham Soltani Arabshahi, Kamran Monajemi, Alireza |
author_facet | Boushehri, Elham Soltani Arabshahi, Kamran Monajemi, Alireza |
author_sort | Boushehri, Elham |
collection | PubMed |
description | Exploration into the concept of "medical expert" dates back to more than 50 years ago, yet yielding three leading theories in the area of clinical reasoning, namely, knowledge structure, hypotheticdeductive, and dual process. Each theory defines "medical expert" in a dissimilar way. Therefore, the methods of assessment through which the experts are identified have been changed during the time. In this paper, we tried to categorize and introduce some widely used tests for identification of experts within the framework of existing main theories. Implementation of the proposed categorization for providing future assessment tools is discussed. |
format | Online Article Text |
id | pubmed-4606956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Iran University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-46069562015-10-16 Clinical reasoning assessment through medical expertise theories: past, present and future directions Boushehri, Elham Soltani Arabshahi, Kamran Monajemi, Alireza Med J Islam Repub Iran Review Article Exploration into the concept of "medical expert" dates back to more than 50 years ago, yet yielding three leading theories in the area of clinical reasoning, namely, knowledge structure, hypotheticdeductive, and dual process. Each theory defines "medical expert" in a dissimilar way. Therefore, the methods of assessment through which the experts are identified have been changed during the time. In this paper, we tried to categorize and introduce some widely used tests for identification of experts within the framework of existing main theories. Implementation of the proposed categorization for providing future assessment tools is discussed. Iran University of Medical Sciences 2015-06-15 /pmc/articles/PMC4606956/ /pubmed/26478880 Text en © 2015 Iran University of Medical Sciences http://creativecommons.org/licenses/by-nc/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution NonCommercial 3.0 License (CC BY-NC 3.0), which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly. |
spellingShingle | Review Article Boushehri, Elham Soltani Arabshahi, Kamran Monajemi, Alireza Clinical reasoning assessment through medical expertise theories: past, present and future directions |
title | Clinical reasoning assessment through medical expertise theories: past, present and future directions |
title_full | Clinical reasoning assessment through medical expertise theories: past, present and future directions |
title_fullStr | Clinical reasoning assessment through medical expertise theories: past, present and future directions |
title_full_unstemmed | Clinical reasoning assessment through medical expertise theories: past, present and future directions |
title_short | Clinical reasoning assessment through medical expertise theories: past, present and future directions |
title_sort | clinical reasoning assessment through medical expertise theories: past, present and future directions |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4606956/ https://www.ncbi.nlm.nih.gov/pubmed/26478880 |
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