Thursday, Sep 10, 2020 | 1:00 PM ET

AI’s Expansion Across the Health Landscape

AI’s Expansion Across the Health Landscape

Propelled by the COVID crisis, Artificial Intelligence (AI) continues to expand its application into more clinical areas across the healthcare delivery and payment landscape. As AI becomes more integrated in actual care delivery; practitioners, vendors and health plans are assessing what role AI actually plays in treatment regimes, whether AI is a diagnostic tool that should be FDA regulated and whether patient disclosure or even patient consent should be required where AI is in use.

AI has forever changed the way clinicians practice, how patients interact with the health system and how disease is detected and diagnosed, to name a few. So if the sky's the limit for applications of AI in health, how do you target what solutions will work best for your organization and the right timeline for deployment?

Main Takeaways:

  • Discuss plan, provider and tech perspectives on where AI’s development stands today in health
  • Identify where the opportunities for growth are in the post-COVID environment
  • Hear challenges on the operational and regulatory side to AI implementation
  • Review use cases of where AI is making a big impact


Christopher DonovanPartner, Foley& Lardner LLP


Aashima GuptaGlobal Director, Healthcare Provider, Health Plans Strategy and Solutions, Google Cloud

Sanji FernandoHead of OptumLabs Center for Applied Data Science, Optum

John Halamka, M.D., M.S.President, Mayo Clinic Platform, Mayo Clinic

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