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Verification Open House - AI-Assisted Review of Procedures and Loop Closure—Comparing ChatGPT Recommendations with Physician Reviewer Feedback

Join the American Burn Association for an interactive open house exploring how artificial intelligence (AI), including ChatGPT, can be used as a quality improvement tool to review burn center procedures, performance improvement documentation.

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Member Only
Location:
Virtual/Online
Date:
October 08, 2026
Time:
1:00pm – 2:00pm (CDT)

Open House: AI-Assisted Review of Procedures and Loop Closure—Comparing ChatGPT Recommendations with Physician Reviewer Feedback

Join the American Burn Association for an interactive open house exploring how artificial intelligence (AI), including ChatGPT, can be used as a quality improvement tool to review burn center procedures, performance improvement documentation, and loop closure. During the session, we will compare AI-generated recommendations with feedback provided by physician reviewers to identify strengths, gaps, and opportunities to enhance documentation. Participants will gain practical insights into using AI to support verification, improve consistency, and strengthen continuous performance improvement processes while complementing, not replacing, expert clinical review.   

Attendees will gain insight into:

  • How AI can support quality improvement in reviewing burn center procedures, performance improvement documentation, and loop closure.

  • How AI-generated recommendations compare with physician reviewer feedback, including areas of agreement and difference.

  • The strengths, limitations, and opportunities of AI-assisted review in the burn center verification process.

  • Practical ways to use AI to improve consistency and strengthen documentation while complementing—not replacing—expert clinical review.

Panelists:
J. Kevin Bailey, MD, FACS, FABA, Verification Review Committee Chair, American Burn Association

Moderator:
Dena Leishman, Senior Verification Specialist, American Burn Association

Target Audience:
Burn center leadership, burn surgeons, nurses, quality and performance improvement professionals, administrators, verification reviewers, and other individuals involved in burn center verification and continuous performance improvement who are interested in exploring how AI can support their work.