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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...

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Detalles Bibliográficos
Autores principales: Seth, Puneet, Hueppchen, Nancy, Miller, Steven D, Rudzicz, Frank, Ding, Jerry, Parakh, Kapil, Record, Janet D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
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.
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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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