Submission ID 109337
| Code | WB-1 |
|---|---|
| Category | Medical Education |
| Type | Workshop |
| Abstract Title | Advancing Clinical Education: Integrating Ai and Innovative Design Strategies |
| Rationale/Background | Current priorities within health professions artificial intelligence-related education, such as adaptive expertise and compassionate care (Morrow et al., 2021; Clarke et al., 2024), emphasize individualized patient care practice and practice that is cognizant of systemic health disparities. An organized systems-thinking approach can help leaders assess readiness for AI adoption and identify the barriers and enablers of success. Leaders must be able to navigate the silos of our health professions education systems. By emphasizing theories and frameworks as foundational building, we begin to cultivate an integrated approach to cycles of education research and implementation that resonates with all parts of the community. As medical education and health system priorities evolve continuously, we should critically examine the use of theories and evaluation frameworks to inform the implementation of AI-based clinical education research. |
| Instructional Methods | This workshop will introduce the audience to several frameworks and approaches for how to create their clinical education artificial intelligence research informed by theories and frameworks Teaching/facilitation methods The workshop will start with a 15-minute didactic introduction to clinical education design approaches, and education implementation research frameworks. In small groups, attendees will then work through an example of AI use case scenario followed by large group discussion and co-created analyses of the results. Each group will select 1 out of 3-4 frameworks in the interactions of implementation science, sociology, social science, and business management. We aim to have 3-4 small groups. The results will be shared in a system map that attendees can use as a starting point for future exploration of their individual goals for innovative AI use. |
| Target Audience | Early career educators Health education students Researchers Curriculum Planners/Developers |
| Keyword 1 | Design-based clinical education research |
| Keyword 2 | Research Design |
| Keyword 3 | Precision education |
| Abstract content most relevant to: (check all that apply) | Continuing Professional Development (CPD) / Faculty Development Other |
| Abstract Track - First Choice | AI and Data Science |
| Authors | Manhoor Malik (Presenter) Seungjae Cho (Presenter) Denyse Richardson (Presenter) Alice Kam (Presenter) Denis Margalik (Presenter) Vidhi Bhatt (Presenter) Shlok Panchal (Presenter) Nicolas Fernandez (Presenter) Alice Kam (Lead Author) Nicolas Fernandez (Co Author) David Wiljer (Co Author) |
