In this episode, host Sandy Vance sits down with Parminder Bhatia , the Chief AI Officer from GE HealthCare , for a thoughtful, forward-thinking conversation about the rapidly shifting landscape of AI in healthcare. Together, they explore why healthcare is so ready for transformation, the four critical areas where change is most urgent, and how smarter systems can ease some of the industry’s most complex workflows. Sandy and Parminder dig into how foundation models and the rise of agentic AI can finally help healthcare move beyond fragmented solutions.
In this episode, they talk about:
- How AI is transforming a healthcare industry that’s long overdue for change
- The four key areas where transformation is most needed
- Streamlining some of the most complex medical processes
- How better communication and information can assist clinicians during labor and delivery
- Using foundation models to reduce fragmentation in healthcare AI
- Supporting the multi-step workflows of radiologists
- Why agentic AI represents the future of healthcare innovation
A Little About Parry:
At GE HealthCare, Parry is focused on integrating AI across smart devices, across the patient journey, and at the hospital operations level. The company is a long-time leader in healthcare AI, topping the FDA’s list of AI-enabled devices for four consecutive years with more than 115 authorizations. Parry’s team advances AI within medical devices to improve patient outcomes, and he also serves on the company’s responsible AI committee to ensure new solutions are reliable, scalable, and ethical. His work has earned recognition from Modern Healthcare’s 40 Under 40, the AIM AI 100 Awards, and Constellation Research’s AI 150. Before joining GE HealthCare, Parry was Head of Applied Science at Amazon, contributing to machine learning and generative AI products such as Amazon Comprehend Medical. He previously held AI and machine learning roles at Microsoft and Georgia Tech. He holds a B.S. in Computer Science from the Indian Institute of Technology and an M.S. in Computational Science and Engineering from the Georgia Institute of Technology.
