Building With AI Leveraging LLMs to simplify healthcare navigation | Jayodita Sanghvi (Included Health)
In this episode of Building With AI, host Hamza Choudery sits with Jayodita Sanghvi, Senior Director of Data Science at Included Health. Jayodita completed a PhD in Bioengineering at Stanford before jumping in industry with the goal of raising the standard of healthcare for everyone.
In her current role leading data science at Included Health, her team uses AI to help simplify healthcare for users by providing services like clinical care and specialist recommendations.
During the episode, Jayodita discusses:
- How LLMs are going to improve healthcare delivery,
- Why Included Health relies primarily on prompt engineering,
- How to get the most out of early adopters by using them for feedback loops,
- Regulation and bias considerations for AI in healthcare,
- And much more!
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[00:00] Up next:
[00:57] Episode introduction
[02:04] Autoblocks: AI Optimization Platform
[02:29] Jayodita’s introduction
[05:25] A look into Included Health
[08:53] Jayodita on LLMs in healthcare
[15:36] The GenAI dream team
[17:17] API vs. OpenAI: What does Included Health use?
[18:16] Why Included Health relies primarily on prompt engineering
[20:40] How to get the most out of early adopters
[22:52] Regulation and bias in AI for healthcare
[26:55] Startups and incumbents: Will both win?
[30:04] The future of ML & LLMs in healthcare
[33:43] Jayodita's hottest AI take
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Brought to you by Autoblocks (https://www.autoblocks.ai/) — how product teams deliver better AI experiences.
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Building with AI is a weekly podcast featuring conversations with top AI product builders and leaders. Through thoughtful dialogue, host Hamza Choudery (Co-founder of Autoblocks) uncovers tactical insights that help listeners build & scale world-class AI products.
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Where to find Jayodita Sanghvi:
Learn more about Included Health:
- Website: https://includedhealth.com/resources/
- LinkedIn: https://www.linkedin.com/company/includedhealth/
- X: https://x.com/IncludedHealth
Where to find Hamza Choudery:
Learn more about Autoblocks: