The evolution of the regulatory landscape of clinical AI has brought about a new set of challenges for healthcare leaders. Sitting at the crossroads of innovation and responsibility, there’s a great deal of question marks looming around regulatory compliance and, furthermore, creating internal governance structures in health systems as they seek to ensure that they are adopting and deploying AI responsibly. The novel technology is penetrating patient workflows in ways unforeseen in its early stages of adoption, offering clinical benefits across hospital service lines.
In this post, you will hear expert perspectives surrounding this new frontier of clinical AI regulation and governance.
Note: These clips are part of an Aidoc-hosted webinar. To access the full webinar “Regulating the Future: A Deep Dive into Healthcare AI Governance” is available here.
With some regulations spanning nearly 1,000 pages, how can a health system realistically stay totally in the know? According to Karen Mandelbaum, Senior Counsel at Epstein Becker Green P.C., it’s all about building a coalition of experts whose expertise span across the health system.
Shilpa Patel, Managing Director, Innovation & Product Strategy at the American College of Cardiology (ACC) weighs in on the importance of staying in the know when it comes to understanding the influx of AI in care delivery and the opportunity it presents. So how do groups like the ACC guide their members on when to apply AI? Additionally, Karen Mandelbaum tells us what HIPAA compliance can teach us about AI moving forward.
Bill Fera, MD, Principal at Deloitte Consulting LLP discusses how, ironically, AI is going to help reinstate the human element to healthcare. By automating manual tasks, Dr. Fera believes that AI is going to free up time for physicians to focus on patient care and interactions.
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