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Can AI predict a patient’s future? | Dr Jay Shah, Concurrence & Dr Prakash Jayakumar, Dell Med

Episode Description

In this episode of Lifers, filmed live at the Second Opinion Summit, two surgeons take on health care’s version of Minority Report: can AI predict a patient’s future? Dr. Jay Shah, Chief Medical Officer of Concurrence and a Stanford cancer surgeon, and Dr. Prakash Jayakumar, Senior Medical Director at Optum Insight and an orthopedic surgeon, dig into what a digital twin really is, why the medical record is “an imperfect, stochastic map of a deeply complex human life,” and why the data that matters most lives in the 99.9% of a patient’s life that happens between appointments. Along the way: why 20 to 25% of knee replacement patients are unhappy, what ambient scribes leave out, Jay’s brush with septic shock, the surgical M&M as health care’s closest thing to a learning system, and the 82-year-old patient whose “wrong” treatment choice was the right one.

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SPONSOR:

Concurrence, formerly Amigo, builds clinical AI agents that care for patients between visits. The agents handle outreach, intake and triage, follow-up and medication support. Before an agent talks to a real patient, it’s trained like a doctor through Concurrence’s “Digital Residency” on millions of simulated patient interactions. Dr. Jay Shah, Concurrence’s Chief Medical Officer and Chief of Medical Staff at Stanford Health Care, sat down with Dr. Prakash Jayakumar, orthopaedic surgeon and value-based care leader, to talk about what AI can and can’t see about a patient, from ambient scribes to digital twins.

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Lifers is brought to you by: Hippocratic AI
Hippocratic AI builds safety-focused voice AI agents that call the patients health systems don’t have the staff to reach, with more than 250 million patient interactions to date. Learn more at hippocraticai.com. Learn more at hippocraticai.com and watch the Lifers episode with Hippocratic AI CEO Munjal Shah: https://www.youtube.com/watch?v=fUACDfWRddM

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LINKS:

Concurrence: https://www.concurrence.com/

Chrissy Farr on YouTube: ⁠https://www.youtube.com/@LiferswithChristinaFarr⁠

Chrissy Farr on Instagram: ⁠https://www.instagram.com/cfarr/⁠

Subscribe to the Second Opinion Newsletter: ⁠https://secondopinion.media/⁠

Chrissy’s Book: The Storyteller's Advantage: ⁠https://www.chrissyfarr.com/books⁠

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FOLLOW:

Chrissy:

⁠https://www.linkedin.com/in/christinafarr/⁠

⁠https://x.com/chrissyfarr⁠

Second Opinion Media:⁠

https://www.instagram.com/second.opinion.media/⁠

⁠https://x.com/second_op_media⁠

Concurrence:

https://www.linkedin.com/company/concurrencehq/

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TIMESTAMPS:

(0:00) Intro

(0:42) Live from the Second Opinion Summit at the White Hotel

(1:10) Health care’s Minority Report: can we predict disease?

(2:21) Meet Dr. Jay Shah and Dr. Prakash Jayakumar

(4:06) Jay: being sick is a full-time job with no pay

(5:25) Jay’s near-death experience with septic shock

(6:56) Prakash: from orthopedic surgeon to systems thinker

(10:20) Don’t doctors already predict the future?

(14:07) Why 20–25% of knee replacement patients are unhappy

(17:51) What is a digital twin, really?

(19:53) Digital twin vs. a PubMed study

(20:57) The other 99.9% of a patient’s life

(24:15) What ambient scribes leave out

(27:20) The medical record isn’t the source of truth

(28:03) Privacy and the lessons of social media

(30:30) The three eras: data, prediction, decision intelligence

(31:25) “Are you the one in charge of my care?”

(35:00) Sharing more data and the learning loop

(36:57) Why patients never see their own outcome data

(38:00) Learning health systems and the M&M conference

(41:03) Will AI replace doctors?

(43:30) The 82-year-old patient: when the “wrong” answer is right

(46:58) What comes next for AI prediction

(48:20) Wrap

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