AI, HIPAA & Medical Records: Prevent Privacy Violations, Patient Lawsuits & Costly OCR Penalties

Marketing and Empathy Psychology

By - Brenton Hill, JD, MHA

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Healthcare organizations are rapidly adopting artificial intelligence for clinical documentation, patient communications, medical record summarization, coding assistance, scheduling, and workflow automation. While these technologies improve efficiency, they also create significant new HIPAA, privacy, cybersecurity, and legal risks that many providers fail to recognize until after an investigation or patient complaint.

Every AI tool that accesses, analyzes, stores, or transmits protected health information (PHI) introduces new compliance obligations. Healthcare organizations remain fully responsible for safeguarding patient information—even when third-party AI vendors process the data. Regulators continue emphasizing that HIPAA protections apply regardless of whether humans or AI systems access medical records, making governance, vendor oversight, and proper documentation more critical than ever.

Join this practical training session to learn how to safely implement AI while protecting patient privacy, reducing legal exposure, and maintaining compliance with HIPAA and evolving healthcare privacy requirements.

Learning Objectives:

Determine when AI can legally access protected health information (PHI) under HIPAA.
Identify AI tools that create the highest privacy and security risks for healthcare organizations.
Prevent unauthorized disclosure of patient information through AI-powered documentation, transcription, and communication platforms.
Evaluate AI vendors, Business Associate Agreements (BAAs), and contractual safeguards before implementation.
Establish AI governance policies that satisfy HIPAA Security Rule and Privacy Rule requirements.
Reduce OCR investigation risks through proper documentation, auditing, and workforce training.
Understand patient consent, authorization, and disclosure requirements when AI technologies are involved.
Protect against lawsuits arising from inappropriate AI use, data sharing, and privacy breaches.
Implement practical safeguards for AI-assisted clinical documentation, coding, scheduling, and patient communications.
Build an AI compliance program that supports innovation while protecting patient trust and organizational reputation.

Who Should Attend:

HIPAA Compliance Officers
Privacy Officers
Healthcare Attorneys
Practice Administrators
Medical Office Managers
Health Information Management (HIM) Professionals
Compliance Directors
Risk Managers
Security Officers
Revenue Cycle Leaders
Physicians
Nurses
Health System Executives
IT Directors
EHR Administrators
Anyone responsible for protecting patient information and ensuring HIPAA compliance

This version is designed to create greater urgency by emphasizing AI adoption, HIPAA liability, OCR enforcement, patient lawsuits, and practical compliance strategies while remaining accurate and aligned with current healthcare AI privacy concerns.

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Webinar Type

Clear

Speaker Detail

Brenton W. Hill is the Head of Operations and General Counsel at the Coalition for Health AI (CHAI), healthcare’s leading nonprofit thought partner organization dedicated to providing guidelines for the responsible use of AI in healthcare. Trained as an attorney and a healthcare administrator, Brenton approaches his work from a risk-informed and operationally feasible perspective which helps CHAI move with agility to accomplish its mission and best serve its members. Prior to his role at CHAI, Brenton served as the Regulatory Strategy and Compliance Manager for Mayo Clinic Platform assisting Platform in identifying its approach to emerging AI regulation and risk mitigation strategies. As part of his role, he served as a member of Mayo Clinic’s SaMD Review Board, which provides governance for AI models being implemented at Mayo Clinic. Additionally, he served as Mayo Clinic’s first legal-trained Administrative Fellow. After his first year in the fellowship program doing traditional hospital operations, Brenton pivoted and spent the next year exclusively focused on digital health regulation and AI implementation where he gained a passion for responsible AI governance and adoption. He is passionate about connecting the entire health sector to CHAI’s work and providing a collaborative community that can help define how AI can help solve some of the health sector’s most pressing issues. Brenton completed his undergraduate studies at Arizona State University and completed his JD and MHA at the University of Kentucky.