IC14: Transforming Education and Clinical Practice with Generative AI: Practical Strategies for Educators and Clinicians

Monday, October 27, 2025

8:00 AM - 12:00 PM

Location: ROOM: Marquette Room >>> DIRECTIONS: Third Floor >>> From the Main Elevator Bank, proceed right. Marquette is located directly in front beyond the Marquette Foyer.

Corresponding Presenter(s)

Tara Mansour, OTD, MS, OTR/L (she/her/hers)

Academic Fieldwork Coordinator/Assistant Professor
MGH Institute of Health Professions
Westwood, MA, United States

Slides Slides

Non-Presenting Contributor(s)

John Wong, PhD (he/him/his)

Distinguished Teaching Associate Professor
MGH Institute of Health Professions
Boston, MA, United States

Generative AI is reshaping how educators and clinicians approach teaching, learning, and clinical practice. This interactive session empowers participants to integrate generative AI into didactic education and clinical instruction, bridging the gap between academia and practice. Attendees will engage in hands-on activities to critically evaluate AI outputs, develop effective prompting techniques, and explore ethical implications. Real-world applications include creating personalized learning materials, generating case-based scenarios, and analyzing data to inform curriculum and clinical decision-making. Participants will leave with actionable strategies to enhance student learning, support evidence-based decision-making, and foster professional growth. Join us to discover innovative ways to leverage generative AI for advancing education and clinical excellence in rehabilitation sciences.

Learning Objectives:

Upon completion, participants will be able to evaluate AI-generated outputs for accuracy, relevance, and alignment with evidence-based practices in both educational and clinical contexts.
Upon completion, participants will be able to apply effective prompting techniques to create customized learning materials, case-based scenarios, and data-driven insights that enhance curriculum design and clinical instruction.
Upon completion, participants will be able to analyze trends in student or clinical performance using generative AI tools to inform decision-making and improve educational and clinical outcomes.
Upon completion, participants will be able to design AI-integrated activities and projects that promote critical thinking and professional growth in students and clinical learners.
Upon completion, participants will be able to formulate ethical strategies for utilizing generative AI in educational and clinical settings while addressing issues such as bias, confidentiality, and evidence-based practice.