Submission ID 78228
| Code | OA-1-5 |
|---|---|
| At the end of this workshop, participants will be able to: | |
| Category | Medical Education |
| Type | Oral |
| Will the presenter be a: | Other |
| Presenter Other | Director of Technology, Education, and Innovation at University Health Network |
| Title | Building an Equity Lens in Ai Education: Reporting on the Grey Literature of A Scoping Review |
| Background/Purpose | Healthcare is in the midst of an artificial intelligence (AI) revolution. However, a gap exists in understanding how to mobilize principles of equity throughout the lifecycle of AI integration, specifically for responsible implementation. There is a need to understand opportunities and recommendations available for advancing equity in AI implementation through investigating education and training approaches for healthcare professionals (HCPs). |
| Methods | The project employed the methodological framework for scoping reviews outlined by Arksey and O'Malley. A grey literature search was also conducted to identify non-academic sources including government reports, conference proceedings, and organizational reports. Analysis of articles will be completed through an inductive thematic approach. |
| Results | The scoping review is in the initial stage of title and abstract screening. A total of 4162 articles were retrieved from academic databases and twenty-two sources met the inclusion criteria for the grey literature search. After a preliminary analysis of the grey literature, common findings among both searches include: (1) the need for clear organizational guidelines on how to foster trust between patients and HCPs when using AI (2) facilitation of training for HCPs that promote understanding the uncertainties in AI and how to communicate effectively with patients to address their concerns, (3) importance of capacity and resource building among diverse HCPs to ensure accountable and equitable clinical encounters that are assisted by AI. |
| Discussion | This study highlights practical implications to advance health equity by promoting standards of ethical AI use and implementation. Findings can be leveraged in the development of current and future AI curricula for HCPs. |
| Keyword 1 | Equity |
| Keyword 2 | Artificial Intelligence |
| Keyword 3 | Responsible Implementation |
| Abstract content most relevant to: (check all that apply) | Continuing Professional Development (CPD) (faculty development, CME)
Residency Education |
| Abstract Track - First Choice | Health Workforce |
| Authors | David Wiljer Melody Zhang Shadia Jirreh Inaara Karsan Dalia Al-Mouaswas Jillian Scandiffio Megan Clare Rebecca Charow Tharshini Jeyakumar David Wiljer |
