Integrating AI-Driven Patient Simulations Education for Physical Therapy Students
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This presentation was recorded live on July 17, 2025. Before enrolling in this educational activity, you must log in or create an account. Once you register for the course, you will have 30 days from the enrollment date to complete it. The date your access expires will be indicated in the Course Summary box on this webpage. |
Description
This study outlines the use of AI-generated patient simulations as an educational tool to enhance clinical decision-making and interdisciplinary collaboration skills in neurological rehabilitation education.
Learning Objectives
- Evaluate the effectiveness of AI-generated patient simulations as an educational tool for enhancing clinical decision-making.
- Assess how AI-simulated interprofessional team interactions contribute to the development of collaborative communication skills.
- Explore the potential of AI-based simulation as a scalable, resource-efficient alternative to traditional clinical simulation.
Speakers
Marlon Addison, PT, DPT
Assistant Professor, Physical Therapy, Rockhurst University
Terms of Use and Privacy Policy
Recording date: July 17, 2025
Date of original release: July 17, 2025
Most recent review/update: July 17, 2025
Termination date: July 16, 2028
Available Credit
- 0.25 CE Contact Hour(s)

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