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Health Care Students' Perspectives on Artificial Intelligence: Countrywide Survey in Canada.
Teng, Minnie; Singla, Rohit; Yau, Olivia; Lamoureux, Daniel; Gupta, Aurinjoy; Hu, Zoe; Hu, Ricky; Aissiou, Amira; Eaton, Shane; Hamm, Camille; Hu, Sophie; Kelly, Dayton; MacMillan, Kathleen M; Malik, Shamir; Mazzoli, Vienna; Teng, Yu-Wen; Laricheva, Maria; Jarus, Tal; Field, Thalia S.
Afiliação
  • Teng M; Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
  • Singla R; School of Occupational Science and Occupational Therapy, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
  • Yau O; Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
  • Lamoureux D; School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada.
  • Gupta A; Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
  • Hu Z; Northern Ontario School of Medicine, Thunder Bay, ON, Canada.
  • Hu R; Northern Ontario School of Medicine, Thunder Bay, ON, Canada.
  • Aissiou A; Queen's University, Kingston, ON, Canada.
  • Eaton S; Queen's University, Kingston, ON, Canada.
  • Hamm C; University of Alberta, Edmonton, AB, Canada.
  • Hu S; University of Alberta, Edmonton, AB, Canada.
  • Kelly D; Northern Ontario School of Medicine, Thunder Bay, ON, Canada.
  • MacMillan KM; University of Calgary, Calgary, AB, Canada.
  • Malik S; Northern Ontario School of Medicine, Sudbury, ON, Canada.
  • Mazzoli V; Faculty of Medicine, Dalhousie University, Saint John, NB, Canada.
  • Teng YW; Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Laricheva M; Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Jarus T; Vancouver Coastal Health, Vancouver, BC, Canada.
  • Field TS; Faculty of Arts, University of British Columbia, Vancouver, BC, Canada.
JMIR Med Educ ; 8(1): e33390, 2022 Jan 31.
Article em En | MEDLINE | ID: mdl-35099397
ABSTRACT

BACKGROUND:

Artificial intelligence (AI) is no longer a futuristic concept; it is increasingly being integrated into health care. As studies on attitudes toward AI have primarily focused on physicians, there is a need to assess the perspectives of students across health care disciplines to inform future curriculum development.

OBJECTIVE:

This study aims to explore and identify gaps in the knowledge that Canadian health care students have regarding AI, capture how health care students in different fields differ in their knowledge and perspectives on AI, and present student-identified ways that AI literacy may be incorporated into the health care curriculum.

METHODS:

The survey was developed from a narrative literature review of topics in attitudinal surveys on AI. The final survey comprised 15 items, including multiple-choice questions, pick-group-rank questions, 11-point Likert scale items, slider scale questions, and narrative questions. We used snowball and convenience sampling methods by distributing an email with a description and a link to the web-based survey to representatives from 18 Canadian schools.

RESULTS:

A total of 2167 students across 10 different health professions from 18 universities across Canada responded to the survey. Overall, 78.77% (1707/2167) predicted that AI technology would affect their careers within the coming decade and 74.5% (1595/2167) reported a positive outlook toward the emerging role of AI in their respective fields. Attitudes toward AI varied by discipline. Students, even those opposed to AI, identified the need to incorporate a basic understanding of AI into their curricula.

CONCLUSIONS:

We performed a nationwide survey of health care students across 10 different health professions in Canada. The findings would inform student-identified topics within AI and their preferred delivery formats, which would advance education across different health care professions.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: JMIR Med Educ Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: JMIR Med Educ Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá