Welcoming AI to the Team: Preparing Interprofessional Health Care Teams to Effectively Leverage AI

Background:
Artificial intelligence (AI) is rapidly transforming healthcare, reshaping the roles and responsibilities of all team members, including patients. Since OpenAI's release of Chat GPT in 2022, other tech companies like Google with Med-PaLM 2 and startups such as OpenEvidence have developed large language models (LLMs) for healthcare applications. These AI tools are increasingly utilized by healthcare teams and patients alike to tackle health-related questions in clinical settings and everyday life.

Problem:
Despite the growing recognition of AI's importance, existing AI competencies have been largely developed from a single-profession perspective, focusing on individual clinician practice rather than interprofessional team dynamics. Healthcare professionals currently lack the training needed to effectively engage with AI in interprofessional team settings, where different team members interpret and respond to AI outputs uniquely based on their roles. This can significantly influence team interactions and patient outcomes, necessitating a shared mental model of AI amongst members of interprofessional health care teams.

Innovation:
This session addresses the Nexus subtheme of preparing students for interprofessional collaborative practice. Developing a shared mental model for the role of AI in healthcare teams and fostering effective collaboration using AI tools is essential to realizing the potential of these transformative tools. I propose establishing interprofessional AI competencies as a crucial step in bridging this gap. This session aims to ignite crucial dialogue on how interprofessional teams can leverage AI collaboratively to enhance patient care.

Learning Objectives:
By the end of this session, participants will be able to:
- Summarize the role of AI in enhancing interprofessional collaboration within healthcare teams.
- Identify competencies necessary for health professionals to effectively engage as members of interprofessional teams using AI.
- Apply their insights to suggest strategies to overcome barriers to implementing interprofessional AI competencies.

Plan:
Session Structure: This interactive session will be capped at 20-25 participants to foster active engagement. We will begin with a brief overview of AI's potential and its current role in health professions education, alongside an introduction to competencies and the 2023 IPEC competencies (values and ethics, roles and responsibilities, communication, teams, and teamwork).

Active Learning Strategies:
- Polling: Utilize polling software to capture participants' experiences, attitudes, and beliefs about AI in healthcare.
- Breakout Activities: Participants will split into four breakout rooms, each focusing on one of the 2023 IPEC competencies. They will collaboratively:
• Identify 2-3 interprofessional AI competencies within their assigned domain (e.g., communication).
• Discuss facilitators and barriers to implementing these competencies.
• Propose strategies to mitigate identified barriers, encouraged to use LLMs and GenAI tools.

Collaborative Tool: Responses will be documented on a shared Miro board, accessible to participants post-session, to inspire institutional activities.

Discussion Facilitation: After the breakout activities, participants will report back to the larger group, followed by a facilitated discussion and the provision of an AI-generated session summary, available upon request.