JMIR Medical Education · 2019 · 614 citations · 37 references
ComputingHealth InformaticsMedical EducationArtificial IntelligenceArtificial Intelligence In EducationClinical Decision SupportMedical CurriculumMedical Education ApplicationsArtificial Intelligence EducationArtificial Intelligence LiteracyArtificial Intelligence TransparencyClinical Decision Making EducationIntegrated Medical CurriculumMedical Education ReformMedical Training
Health care is evolving toward an AI‑driven era, requiring medical professionals to acquire skills in data‑based decision making, knowledge integration, and awareness of AI’s benefits and limitations. The study aims to integrate AI seamlessly throughout the medical curriculum. The authors present a framework for updating medical curricula to incorporate AI.
Health care is evolving and with it the need to reform medical education. As the practice of medicine enters the age of artificial intelligence (AI), the use of data to improve clinical decision making will grow, pushing the need for skillful medicine-machine interaction. As the rate of medical knowledge grows, technologies such as AI are needed to enable health care professionals to effectively use this knowledge to practice medicine. Medical professionals need to be adequately trained in this new technology, its advantages to improve cost, quality, and access to health care, and its shortfalls such as transparency and liability. AI needs to be seamlessly integrated across different aspects of the curriculum. In this paper, we have addressed the state of medical education at present and have recommended a framework on how to evolve the medical education curriculum to include AI.
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I.—COMPUTING MACHINERY AND INTELLIGENCE
Alan Turing · Mind · 1950 · 9.6K citations
The Triple Aim: Care, Health, And Cost
Donald M. Berwick, Thomas Nolan, John Whittington · Health Affairs · 2008 · 5.1K citations