Accepted Type
Oral
Code
OH1-3-1
Acceptance Declaration
Accept
Additional Information
I declare I have no actual or potential conflict of interest in relation to this program.
Was this work accepted for CCME 2020?
no
Category
General Call (Workshop, Oral Presentation, Poster Presentation)
Type
Oral
Sub Type
Education Research
Will the presenter be a:
Student
Affiliation
Considered for Poster
yes
Title
Knowledge and Attitudes on Artificial Intelligence in Healthcare: A Provincial Survey of Medical Students
Length of Presentation
Background/Purpose
There is growing acknowledgement that undergraduate medical education (UGME) must play a formal role in instructing future physicians on the promises and limitations of artificial intelligence (AI), particularly as these tools are integrated into medical practice. Despite calls to integrate AI education into UGME, there remains a paucity of tangible learning objectives and frameworks to guide curricular development. Gauging learner sentiment and opinion on topics in AI is integral to identifying priority areas for curricular development.
Methods
We conducted an exploratory survey of medical students' knowledge of AI, perceptions on the role of AI in medicine, and preferences surrounding the integration of AI competencies into medical education. The survey was completed by 321 medical students (13.4% response rate) at four medical schools in Ontario.
Results
Medical students are generally optimistic about the future capability of AI to carry out many clinical and administrative healthcare functions, with reservations about specific tasks such as personal counselling and empathetic care. Students believe AI will raise novel ethical and social challenges relevant to health equity. Students are concerned about how AI will affect the medical job market, with 25% responding that it is actively impacting their choice of specialty. Students agree that medical education must do more to prepare them for the impact of AI in medicine (79%), with the majority (68%) believing this training should begin in UGME.
Conclusion
Medical students expect AI will be widely integrated into healthcare and are enthusiastic about obtaining AI competencies in UGME.
Keyword 1
Curriculum development
Keyword 2
Artificial intelligence
Keyword 3
Digital health
Level of Training
Undergraduate
Abstract Themes
Curriculum
Curriculum
General
Additional Theme (First choice)
Undergraduate
Additional Theme (Second Choice)
Additional Theme (Third Choice)
Authors
Presenter
Vinyas Harish
Term 1
Yes
Term 2
Yes
Term 3
Yes
Term 4
Yes
Term 5
Yes
