Member May 2026: Preserving Safety, Trust, and Human Judgment in the Age of Clinical AI-Session Recording

Video Transcription

Video Summary

This Member May session from AAPMR focused on “Preserving Safety, Trust, and Human Judgment in the Age of Clinical AI.” Moderated by Dr. Muyeon O’Park, the discussion brought together panelists from clinical, legal, and technology backgrounds to examine how AI is being used in rehabilitation and healthcare.<br /><br />The conversation began with how clinicians are already using AI, especially ambient scribes like DAX, to improve documentation and reduce burnout. Many participants shared that AI saves time and helps them focus more on patients, but it can also introduce errors and may lead administrators to expect more patient volume rather than better care. Panelists emphasized that success should be defined not just by efficiency, but by whether AI helps clinicians spend more meaningful time with patients and improves care quality.<br /><br />A major theme was data: its origin, bias, completeness, and ownership. Speakers discussed how current health records often miss important “whole person” information such as social determinants of health, family context, and behavioral data. They also noted that wearables and consumer LLMs are increasingly generating health-related data outside the traditional medical system.<br /><br />The group explored safety, accountability, and legal risk, including who is responsible when AI contributes to an error. Panelists stressed the importance of standards, voluntary disclosures, clinician involvement in governance, and patient-centered implementation. The session closed with a call for physicians to engage in advocacy and help shape AI so it remains a tool that supports, rather than replaces, human judgment in medicine.

Keywords

clinical AI

healthcare

rehabilitation

ambient scribes

documentation

burnout

data bias

patient safety

human judgment

legal accountability

physician advocacy