October 2026 Session: Preparing the AI-Ready Physician: Key Findings from a Landscape Report-Preparing the AI-Ready Physician: Key Findings from a Landscape Report

Video Transcription

Video Summary

The webinar presented findings from a CMSS and American Academy of Nursing landscape analysis on physician readiness for AI in healthcare. AI tools are already being used across medical education and clinical practice, but training and governance have not kept pace. Many students and residents use AI, while few receive formal instruction; practicing physicians also report wanting more training.<br /><br />The analysis found that education on AI remains underdeveloped across undergraduate, graduate, and continuing medical education. Key gaps include limited faculty expertise, few validated assessments, sparse accreditation and licensing requirements, and little evidence that training improves clinician behavior or patient outcomes. Clinicians need more than tool-operation skills: they must be able to appraise outputs, recognize bias and limitations, calibrate trust, and understand accountability.<br /><br />The presenters emphasized that readiness depends on individuals, interprofessional teams, and organizations. They proposed an eight-part framework covering competency, role clarity, collaboration, speaking up, transparency, safety culture, and supportive conditions, grounded in usefulness, ethics, equity, security, and governance.<br /><br />Medical societies can help by assessing members’ needs, adapting shared foundational AI education to specialty contexts, creating flexible and regularly updated learning, and building interprofessional programs. The goal is for AI to inform care while clinical teams retain judgment and accountability.

Keywords

physician readiness

artificial intelligence

medical education

clinical governance

AI training

healthcare equity

interprofessional collaboration

bias recognition

patient safety