Generative AI The future of Health Professions Education

Sunday, May 5, 2024

11:00 AM – 12:30 PM ET

Location: Metro Toronto Convention Centre: 105

CE: Live CME: 1.5

Selected By: APPD
Co-sponsored By: PIDS, APA

Chair(s)

Jennifer Benjamin, MD, MS

Associate Professor, Co-Director for Faculty College
Baylor College of Medicine
hOuston, Texas, United States

Slides
Traci Wolbrink, MD MPH (she/her/hers)

Associate Professor
Critical Care
Boston Children's hospital
Boston, Massachusetts, United States

Disclosure(s):

Jennifer C. Benjamin, MD, MS: I do not have any relevant financial / non-financial relationships with any proprietary interests.

Traci Wolbrink, MD MPH: Dassault, La Fondation (Terminated, December 31, 2022) (Products/Services: Research Support including clinical trials & the principal or named investigator)

Session

Description: Generative AI has the potential to play a transformative role in education and has gained increased popularity recently. Health professional educators can benefit significantly from the use of generative AI. These tools can automate and enhance various aspects of medical education, patient care and faculty development. When utilized effectively, they can assist educators in tasks such as academic writing, creating personalized lesson plans, generating patient care scenarios for simulation, and automating assessment and feedback processes. With the future of our learners at stake, medical educators need to determine how best to utilize these innovative tools, avoid pitfalls while exploring the breadth of their transformative potential.

This symposium will introduce foundational concepts required to understand the capabilities and limitations of generative AI, while providing examples of its potential through 6 short presentations. We will highlight the use of AI in academic activities such as brainstorming ideas and drafting manuscripts and letters. Following this, we will showcase how AI can be used for clinical teaching, educational content development, creating simulation scenarios, instructional materials, guiding future faculty development including evaluations and assessments. We will also describe patient care applications such as automated documentation within electronic health records, and enhancement of communication with families. We will conclude the symposium with a discussion of the future opportunities and challenges that AI presents, including the need to identify and avoid misinformation. We will conclude with 20 minutes for discussion, questions and answers for audience engagement.

Learning Objectives:

Define the capabilities of generative AI and its utilization in health profession education
Application of generative AI for academic writing, medical education and patient care plan and management
Explore the future directions in the application of generative AI and tools

Presentations:

11:00 AM – 11:12 AM ET

Introductions, Overview of generative AI and application of AI to identify misinformation.
Speaker: R. Brandon Hunter, MD (he/him/his) – Texas Children's Hospital
11:12 AM – 11:22 AM ET

Application of generative AI in academic writing, drafting communications and for idea generation.
Speaker: Jennifer C. Benjamin, MD, MS – Baylor College of Medicine
11:22 AM – 11:34 AM ET

Utilization of AI in clinical teaching
Speaker: Martin V. Pusic, MD PhD (he/him/his) – Boston Children's Hospital
11:34 AM – 11:44 AM ET

Role of AI in medical education and content creation
Speaker: Traci Wolbrink, MD MPH (she/her/hers) – Boston Children's hospital
11:44 AM – 11:56 AM ET

Utilizing AI to guide future faculty development, formulating assessments and feedback
Speaker: Eric Gantwerker, MD, MMSc(MedEd), FACS, AFAMEE (he/him/his) – Donald and Barbara Zucker School of Medicine at Hofstra/Northwell
11:56 AM – 12:08 PM ET

Limitations and pitfalls to avoid when using generative AI, scope and future directions.
Speaker: Dennis Daniel, MD – Boston Children's Hospital