Introducing Artificial Intelligence Training in Medical Education
Внедрение обучения искусственному интеллекту в медицинское образование
2019-10-20
SCID: 54.1/qajnnty7
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artificial intelligence trainingclinical decision makingmedical curriculummedical educationmedicine-machine interaction
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Abstract (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.
Key Findings
1
AI should be integrated seamlessly across multiple components of the medical education curriculum through a recommended implementation framework.
2
AI training can help healthcare professionals manage expanding medical knowledge and improve healthcare cost, quality, and access.
3
Medical curricula should teach both AI’s benefits and its limitations, including challenges involving transparency and liability.
4
The growing use of AI and data-driven clinical decision-making necessitates reforming medical education and strengthening medicine–machine interaction skills.
Research Object
Medical education curriculum
Research Subject
a framework for integrating AI training into the medical education curriculum, including its benefits and limitations for clinical practice
Publication Details
Publication Date
2019-10-20
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