Shiv Rao: Enabling Better Patient Care with AI

Shiv Rao: Enabling Better Patient Care with AI

Author: Daniel Bashir July 13, 2023 Duration: 1:00:51

In episode 81 of The Gradient Podcast, Daniel Bashir speaks to Shiv Rao.

Shiv Rao, MD is the co-founder and CEO of Abridge, a healthcare conversation company that uses cutting-edge NLP and generative AI to bring context and understanding to every medical conversation. Shiv previously served as an Executive Vice President at UPMC Enterprises, managing the provider-facing portfolio of technology investments and R&D. He is a practicing cardiologist in UPMC's Heart and Vascular Institute.

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Outline:

* (00:00) Intro

* (01:34) Shiv’s medicine/technology/VC background

* (05:45) Difficulties for tech in healthcare and how this informs Shiv’s approach

* (10:52) “Productivity with a smile” and how AI can make medicine feel more human

* (12:35) Shiv’s experiences in medicine and how Abridge’s product helps doctors

* (16:10) How the role of a clinical team could evolve

* (19:30) Abridge’s partnerships and real-life use cases

* (23:00) Shiv’s perspectives on concerns about bias/trust/privacy

* (25:25) Clinical decision support vs “automating doctors”

* (29:07) Transparency and Abridge’s user experience

* (35:20) Algorithmic solutionism vs human-focused approaches to technology development

* (38:50) Ways AI might impact healthcare

* (41:10) Generative AI applications

* (45:00) Generative AI opportunities beyond documentation

* (49:25) Innovation and reducing friction, UX

* (50:56) Why people make wild predictions about AI

* (54:25) What it means to “automate away” a doctor, how we’re misusing the medical workforce

* (56:10) Shiv’s advice for people interested in AI + healthcare

* (1:00:04) Outro

Links:

* Abridge Homepage



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Hosted by Daniel Bashir, The Gradient: Perspectives on AI moves beyond surface-level headlines to explore the intricate machinery and human ideas shaping artificial intelligence. Each episode is built on a foundation of deep research, leading to conversations that are both technically substantive and broadly accessible. You'll hear from researchers, engineers, and philosophers who are actively building and critiquing our technological future, discussing not just how AI systems work, but the larger implications of their integration into society. This isn't about speculative hype; it's a grounded examination of real progress, persistent challenges, and ethical considerations from those on the front lines. The discussions peel back layers on topics like model architecture, policy, and the fundamental science behind the algorithms becoming part of our daily lives. For anyone curious about the substance behind the buzz-whether you have a technical background or are simply keen to understand a defining technology of our age-this podcast offers a crucial and thoughtful resource. Tune in for a consistently detailed and nuanced take that treats artificial intelligence with the complexity it deserves.
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