TASA Webinar
AI in EMS: What the Law Already Expects Before You Deploy
A focused 30-minute session with time at the end for questions and answers.
Register for the Webinar
Andreea Bodnari, PhD
Dr. Bodnari has a PhD in machine learning from MIT and previously led healthcare AI work at Google Cloud and UnitedHealth Group.
She is a member of the Coalition for Health AI (CHAI) and serves on the NIST AI Safety Institute Consortium.
- The laws that already apply to AI in healthcare — including the False Claims Act, HIPAA, CMS rules, and state consent statutes. Nobody needs to pass an AI law for this to be a problem.
- Where liability has actually landed in recent cases involving payer algorithms and AI scribes.
- Why testing a tool before launch does not protect you, since the failures show up afterward.
- A simple way to rank your AI risks so you know what to deal with first.
- Seven steps to stand up an internal AI compliance program.
Target Audience
This webinar is designed for EMS leadership, owners, compliance officers, medical directors, billing and revenue cycle professionals, and whoever is fielding the AI vendor pitches.
It is especially relevant for anyone evaluating ambient documentation, coding tools, or dispatch and triage algorithms.
Registration Available Now
Reserve your spot for this TASA webinar on AI compliance, liability, and practical risk management in EMS.
Register Nowhttps://tennesseeambulance.com/event-6811473