In 2026, health care facilities are under relentless pressure to use AI. From diagnostic algorithms that outperform radiologists to predictive billing engines that flag fraud in real-time, the “machines” have arrived. However, as AI capabilities grow, the compliance department faces a systemic crisis. How do you audit a “black box”? How do you maintain HIPAA minimum necessary standards when AI systems require massive datasets to function accurately?
This presentation explores the high-stakes battle between the risk-averse compliance officer and the machine, diving into the ethical considerations, audit efforts, and legal risks that arise when AI enters a health care facility. We’ll examine how AI-driven efficiencies can inadvertently introduce inaccuracies, bias, and opaque decision-making. We will outline a playbook to navigate the evolving regulatory landscape of AI in health care and equip you with the framework and foresight needed to proactively manage risk and uphold ethical standards in an increasingly automated environment.
Wednesday, May 13, 2026 | 12:00 PM - 1:00 PM
(UTC-05:00) Central Time (US & Canada)
Hosted on Zoom