Preparing Physicians of the Future: Incorporating Data Science into Medical Education

被引：0

作者：

Shah, Rishi M. ^{[1
]}

Shah, Kavya M. ^{[2
]}

Bahar, Piroz ^{[3
]}

James, Cornelius A. ^{[4
]}

机构：

[1] Yale Coll, Dept Appl Math, New Haven, CT USA

[2] Univ Cambridge, Dept Clin Neurosci, Hills Rd, Cambridge CB2 0QQ, England

[3] Univ Michigan, Med Sch, Ann Arbor, MI USA

[4] Univ Michigan, Dept Internal Med Pediat & Learning Hlth Sci, Med Sch, Ann Arbor, MI USA

来源：

MEDICAL SCIENCE EDUCATOR | 2024年

关键词：

Data science; Medical education; Evidence-based medicine; Clinical informatics; LIMITS;

D O I：

10.1007/s40670-024-02137-2

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

The recent excitement surrounding artificial intelligence (AI) in health care underscores the importance of physician engagement with new technologies. Future clinicians must develop a strong understanding of data science (DS) to further enhance patient care. However, DS remains largely absent from medical school curricula, even though it is recognized as vital by medical students and residents alike. Here, we evaluate the current DS landscape in medical education and illustrate its impact in medicine through examples in pathology classification and sepsis detection. We also explore reasons for the exclusion of DS and propose solutions to integrate it into existing medical education frameworks.

引用

页数：6

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