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Data Science as a Core Competency in Undergraduate Medical Education in the Age of Artificial Intelligence in Health Care
The increasingly sophisticated and rapidly evolving application of artificial intelligence in medicine is transforming how health care is delivered, highlighting a need for current and future physicians to develop basic competency in the data science that underlies this topic. Medical educators must...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369309/ https://www.ncbi.nlm.nih.gov/pubmed/37432728 http://dx.doi.org/10.2196/46344 |
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author | Seth, Puneet Hueppchen, Nancy Miller, Steven D Rudzicz, Frank Ding, Jerry Parakh, Kapil Record, Janet D |
author_facet | Seth, Puneet Hueppchen, Nancy Miller, Steven D Rudzicz, Frank Ding, Jerry Parakh, Kapil Record, Janet D |
author_sort | Seth, Puneet |
collection | PubMed |
description | The increasingly sophisticated and rapidly evolving application of artificial intelligence in medicine is transforming how health care is delivered, highlighting a need for current and future physicians to develop basic competency in the data science that underlies this topic. Medical educators must consider how to incorporate central concepts in data science into their core curricula to train physicians of the future. Similar to how the advent of diagnostic imaging required the physician to understand, interpret, and explain the relevant results to patients, physicians of the future should be able to explain to patients the benefits and limitations of management plans guided by artificial intelligence. We outline major content domains and associated learning outcomes in data science applicable to medical student curricula, suggest ways to incorporate these themes into existing curricula, and note potential implementation barriers and solutions to optimize the integration of this content. |
format | Online Article Text |
id | pubmed-10369309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-103693092023-07-27 Data Science as a Core Competency in Undergraduate Medical Education in the Age of Artificial Intelligence in Health Care Seth, Puneet Hueppchen, Nancy Miller, Steven D Rudzicz, Frank Ding, Jerry Parakh, Kapil Record, Janet D JMIR Med Educ Viewpoint The increasingly sophisticated and rapidly evolving application of artificial intelligence in medicine is transforming how health care is delivered, highlighting a need for current and future physicians to develop basic competency in the data science that underlies this topic. Medical educators must consider how to incorporate central concepts in data science into their core curricula to train physicians of the future. Similar to how the advent of diagnostic imaging required the physician to understand, interpret, and explain the relevant results to patients, physicians of the future should be able to explain to patients the benefits and limitations of management plans guided by artificial intelligence. We outline major content domains and associated learning outcomes in data science applicable to medical student curricula, suggest ways to incorporate these themes into existing curricula, and note potential implementation barriers and solutions to optimize the integration of this content. JMIR Publications 2023-07-11 /pmc/articles/PMC10369309/ /pubmed/37432728 http://dx.doi.org/10.2196/46344 Text en ©Puneet Seth, Nancy Hueppchen, Steven D Miller, Frank Rudzicz, Jerry Ding, Kapil Parakh, Janet D Record. Originally published in JMIR Medical Education (https://mededu.jmir.org), 11.07.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Education, is properly cited. The complete bibliographic information, a link to the original publication on https://mededu.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Viewpoint Seth, Puneet Hueppchen, Nancy Miller, Steven D Rudzicz, Frank Ding, Jerry Parakh, Kapil Record, Janet D Data Science as a Core Competency in Undergraduate Medical Education in the Age of Artificial Intelligence in Health Care |
title | Data Science as a Core Competency in Undergraduate Medical Education in the Age of Artificial Intelligence in Health Care |
title_full | Data Science as a Core Competency in Undergraduate Medical Education in the Age of Artificial Intelligence in Health Care |
title_fullStr | Data Science as a Core Competency in Undergraduate Medical Education in the Age of Artificial Intelligence in Health Care |
title_full_unstemmed | Data Science as a Core Competency in Undergraduate Medical Education in the Age of Artificial Intelligence in Health Care |
title_short | Data Science as a Core Competency in Undergraduate Medical Education in the Age of Artificial Intelligence in Health Care |
title_sort | data science as a core competency in undergraduate medical education in the age of artificial intelligence in health care |
topic | Viewpoint |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369309/ https://www.ncbi.nlm.nih.gov/pubmed/37432728 http://dx.doi.org/10.2196/46344 |
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