Prevent AI Privacy Lawsuits: Protecting Your Practice When AI Accesses Medical Records
Recorded Webinar | Brenton W. Hill | All Days
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Artificial intelligence tools are now embedded in the everyday operations of healthcare organizations, billing, transcription, records management, and more, and every one of them that touches your electronic medical records is expanding your legal exposure. Privacy lawsuits targeting healthcare AI tools are already being filed, and the organizations named in them are discovering, too late, that their vendor agreements never contemplated AI at all. If your contracts were signed before AI became prevalent, your protections are almost certainly out of date.
The regulatory picture makes this worse, not better. State and federal AI rules are evolving rapidly and inconsistently, leaving administrators, compliance officers, and executives to manage a moving target. The organizations that will avoid expensive AI-driven privacy litigation are the ones that act now: auditing how AI actually accesses patient data, renegotiating legacy vendor agreements, and building AI-specific safeguards into their privacy compliance programs.
In this 60-minute session, the General Counsel of the Coalition for Health AI, formerly Regulatory Strategy and Compliance Manager for Mayo Clinic Platform, delivers plain-English tactics to uncover hidden AI access to your records, reduce liability from existing contracts, negotiate stronger terms with dominant vendors, and apply five essential questions before signing any AI agreement. Leaders who wait until the first demand letter arrives will pay for this education in settlement dollars instead.
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