Weaving AI into Interprofessional Practice and Education: Perspectives from Big Ten Institutions and a Call to Collaborate

Artificial intelligence has numerous implications for the future of collaborative healthcare, yet much uncertainty remains about how to best incorporate AI into interprofessional education and practice. Many academic health centers are already taking steps to address this emerging field, and recent publications identify potential areas where AI may be well-suited to improving patient care, as well as approaches to teaching AI to health trainees. [2,3] This poster summarizes the initial approach and priority topics being pursued by several Big Ten institutions, with the hope of stimulating collaboration in this area.Goals, objectives, and purpose: After participating in this poster session, conference attendees will:

1) Describe the state of AI incorporation into teaching and practice at Big Ten academic health centers.

2) Discuss their own plans for AI implementation.

3) Compare and critique AI implementation plans currently underway at multiple academic health centers.

4) Critique proposed competencies for AI in the health professions. [1]Methods/Methodology: Big Ten member institutions participate in an IPE working group to promote collaboration in interprofessional practice and education. In this poster, members of the group describe the current state of AI implementation at their respective teaching and practice sites.Results/Findings: There is significant heterogeneity in the approach of the Big Ten member institutions. Despite major progress with incorporating AI into interprofessional teaching or practice at the health system level to date, participating institutions are actively exploring AI implementation, with varying levels of institutional commitment.Conclusions, implications, and/or curiosities: Health professions training programs confront a new challenge in preparing trainees to practice in an environment influenced by recent developments in AI. This poster offers experiences of several Big Ten institutions. We propose that bringing schools, colleges and universities together to collaborate and strategically innovate, implement, and scale AI interprofessional education interventions will better impact the field.