Everyday AI Podcast – An AI and ChatGPT Podcast EP 594: Data Dreams & Digital Delusions: The role of AI in health tech
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Aug 21, 2025 Smurthy Kuraban Nandan, a health tech executive with expertise in robotics and public health, dives into the intersection of AI and healthcare. She discusses how generative AI can address challenges like physician burnout and improve clinical efficiency. The conversation explores the importance of accurate data retrieval, the role of RAG in ensuring real-time data integrity, and the need for transparency in health data pipelines. Nandan also highlights the complexities of data investment and responsible usage to achieve positive patient outcomes in a rapidly evolving tech landscape.
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Big Data Centers Are Not A Panacea
- Massive data center investments aim to give companies a competitive edge by supplying huge data and compute capacity.
- More data alone won't automatically eliminate hallucinations or guarantee safer health outcomes.
Apply GenAI To Cut Clinician Burden
- Use GenAI to automate clinician tasks like clinical notes and imaging checks to reduce physician burnout.
- Apply GenAI across HR, marketing, legal and ops to gain enterprise-wide efficiency when implemented responsibly.
Infrastructure Outpaces Data And Literacy
- Companies invest heavily in AI infrastructure for market leadership, but data cleanliness and prompt quality remain weak links.
- That disconnect is especially dangerous in healthcare because model errors have high-stakes consequences.