Training for critical AI use in health: Development of simulation-based and immersive learning tools

The eCONSULT+ project is part of a research program focusing on “augmented” teleconsultations in primary care, with a particular focus on supporting the early detection of Parkinson’s disease. Previous studies have documented the applications and limitations of artificial intelligence (AI)-powered voice-analysis tools incorporated into teleconsultation systems, as well as the training requirements for family physicians working with these systems.

The main objective of this project is to design an immersive or simulation-based learning tool for family physicians and medical residents, drawing on the empirical findings already produced by the eCONSULT+ research. This tool could take the form of interactive simulations or scripted teaching modules, for example. The tool is intended to encourage a critical and reflective approach to AI-augmented teleconsultation technologies.

More specifically, the project will pursue the following objectives:

• translate existing research findings into concrete teaching tools;
• design simulation scenarios that highlight the clinical and relational issues raised by the use of AI in teleconsultation; and
• explore possible forms of experiential learning tools suited to the realities of primary care. 

The project adopts a qualitative, design-oriented approach that combines:

• the secondary analysis of data from the eCONSULT+ studies (empirical findings, verbatim transcripts and observations);
• a research-creation and instructional design process informed by co-design and scenario development methods;
• the iterative design of training scenarios; and
• regular discussions with the research team to confirm the scientific and pedagogical soundness of the proposed tools. 

In particular, students will gain:

• familiarity with qualitative research in health and communication;
• skills in analyzing technology use and professional practices;
• a critical understanding of the sociotechnical issues raised by AI in health;
• skills in designing teaching and training tools; and
• the ability to work collaboratively, synthesize information, and communicate it in writing and visually. 

• Analysis of existing research findings and materials: 20 hours
• Targeted literature review (training, simulation and AI in health): 15 hours
• Design of training and simulation scenarios: 20 hours
• Development of prototypes (scripts, support materials and visual scenarios): 15 hours
• Writing summary and rationale documents: 10 hours
• Meetings with the research team: 10 hours

Total: 90 hours