AI and the Clinician: Navigating Responsible Use in Rehabilitation

Presented by Aimee E. Perron

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Description

*This webinar is scheduled for 7:00 PM EDT / 4:00 PM PDT (Adjust for your time zone)

Artificial intelligence (AI) tools are increasingly appearing in clinical documentation, education, patient communication, and decision support across the rehabilitation professions. While these technologies offer opportunities to improve efficiency and access to information, their use also raises important ethical, professional, and regulatory considerations for clinicians.

This webinar introduces key concepts related to the responsible use of AI for healthcare and rehabilitation professionals. Drawing from established ethical frameworks for AI, participants will explore how professional values, transparency, clinical judgment, and patient trust must remain central when integrating AI into practice.

Through practice-based case examples, participants will examine current challenges, including bias, overreliance on AI outputs, and limitations in evidence validation, and explore opportunities to leverage AI as a supportive clinical tool. The session will also discuss emerging regulatory considerations and practical strategies to help clinicians thoughtfully evaluate AI tools and responsibly incorporate them into patient-centered care.

By the end of the webinar, participants will be better equipped to thoughtfully evaluate and responsibly integrate AI tools while maintaining ethical standards and patient-centered care.

Instructor

A smiling person with long brown hair in a navy top symbolizes Medbridge's impact on digital healthcare.

Aimee E. Perron, PT, DPT, NCS, CEEAA

Aimee E. Perron is currently an assistant professor and associate director of clinical education at Northeastern University in Boston, Massachusetts. She earned her MS in physical therapy from Boston University and her DPT from Massachusetts General Hospital Institute of Health Professions. She has more than 27 years of…

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Learning Objectives

  • Distinguish the current and emerging roles of artificial intelligence in healthcare and rehabilitation practice, including common applications, opportunities, and limitations
  • Deduce key factors that influence clinical decision-making when using artificial intelligence, including bias, data quality, transparency, and the potential for overreliance on generated outputs
  • Integrate core principles that guide responsible and human-centered use of artificial intelligence, including fairness, accountability, transparency, safety, and respect for human autonomy
  • Apply practical strategies to evaluate and responsibly integrate artificial intelligence into clinical practice, including AI tools that support ADL performance, functional mobility, and patient education, while maintaining clinical judgment, professional accountability, and patient-centered care

Agenda

All times in Eastern Time.

7:00pm–7:10pm
Chapter 1: AI in Clinical Practice: Why This Matters Now
7:10pm–7:25pm
Chapter 2: What Shapes AI-Supported Clinical Decisions
7:25pm–7:40pm
Chapter 3: What Does “Responsible AI” Actually Mean?
7:40pm–7:55pm
Chapter 4: Applying AI Responsibly in Clinical Practice
7:55pm–8:00pm
Break
8:00pm–8:15pm
Question and Answer Session

Medbridge is committed to accessibility for all of our subscribers. If you are in need of a disability-related accommodation, please contact [email protected] . We will process requests for reasonable accommodation and will provide reasonable accommodations where appropriate, in a prompt and efficient manner.

Details

  • October 19, 2026
  • 7:00pm-8:15pm EDT
    • PTs/PTAs, Intermediate
    • OTs/OTAs, Intermediate
    • ATs, Advanced
    • SLPs, Intermediate
    • Nurses, Intermediate
  • Register soon to secure your spot!

* Available October 19

Disclaimer

Aimee Perron, instructor for this educational event, receives compensation from Medbridge for this course. No one with the ability to control content has relevant relationship(s) to disclose.

Accreditation

Requirements

To receive CEU credit all disciplines must attend the webinar for the full duration, complete the quiz with a minimum score of 70%, and complete the participant survey.

"Live" CEUs

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