AI Adoption in Healthcare: What Works & What Doesn’t With: Krish Ramadurai
Krish Ramadurai breaks down the reality of AI adoption in healthcare, separating transformative applications from overhyped promises. He emphasizes that success comes from domain expertise, frictionless integration, and solving real workflow problems—not from replacing physicians. Generative AI has proven effective in clinical workflow automation, like dictation and EHR integration, but faces limitations in complex decision-making domains. Ramadurai warns against 'pilot purgatory' and stresses the importance of demonstrating clear ROI, enterprise readiness, and alignment with the needs of patients, payers, and providers.
Episode Contents:
About the Guest
Krish Ramadurai is a Partner at AIX Ventures, leading investments in AI-driven healthcare and biotech innovation. Learn more at: https://www.linkedin.com/in/krishramadurai/
Key Takeaways
- True AI adoption requires domain expertise and workflow integration.
- Generative AI excels at text-based automation, not replacing physicians.
- Scaling AI in healthcare demands clear ROI and enterprise-ready case studies.
Transcript Summary
What’s real in healthcare AI versus hype?
Real value comes from integrating AI into clinical workflows with measurable ROI; hype is thinking AI will replace physicians.
What’s the key to adoption?
Frictionless integration, clear use cases, and aligning with providers, payers, and patients.
How can companies scale beyond pilots?
Show quantitative cost savings and operational improvements to win enterprise contracts.
More Topics
- AI in Patient Care
- AI in the Healthcare Industry
- AI and Medical Innovation
- Healthcare Ethics and Policy
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About the Series
AI and Healthcare—with Mika Newton and Dr. Sanjay Juneja is an engaging interview series featuring world-renowned leaders shaping the intersection of artificial intelligence and medicine.
Dr. Sanjay Juneja, a hematologist and medical oncologist widely recognized as “TheOncDoc,” is a trailblazer in healthcare innovation and a rising authority on the transformative role of AI in medicine.
Mika Newton is an expert in healthcare data management, with a focus on data completeness and universality. Mika is on the editorial board of AI in Precision Oncology and is no stranger to bringing transformative technologies to market and fostering innovation.