ChalkTalkJim: Breaking Down the Game - A Guide to the Future of Healthcare

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Aaron Brooker, a physician disability insurance specialist at LeverageRx, makes the case that income is the vehicle driving everything else you own. He breaks down own-occupation and partial-disability coverage, the exclusions that ambush residents, and the riders that quietly determine a policy's worth. A practical guide to protecting the one asset most professionals overlook until it is too late.

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Dr. Erica Urquhart spent a decade running a private orthopedic practice before going to business school, and by the time she got there, she had already earned what she calls an on-the-job MBA. In this episode, she walks through how physicians are forced to learn reimbursement by trial, why algorithmic denials are quietly reshaping practice income, and what patients can do to follow the money in their own care. 

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Dr. Pam Theriot, an optometrist and dry eye specialist, explains how the modern screen habit is quietly damaging our eyes. She breaks down why blink rate collapses from 21 times a minute to just 7 when we stare at a display, how the oil glands in our eyelids atrophy over time, and what every screen user can start doing today to protect their long-term vision.

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Patent attorney James Gourley walks through three IP concepts that trip up healthcare innovators: the first-to-file system that rewards speed over invention dates, the freedom-to-operate opinion that protects you from willful infringement damages, and the one-year disclosure clock that has killed more patents than any examiner ever has. Practical guidance for medical device, biopharma, and digital health teams.

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Cooper Zelnick of Groups Recover Together explains how an outpatient model built around small-group community and value-based contracts is reshaping addiction care. He walks through the pivot from cash pay to insurance, the metrics that matter to payers, and why getting paid only when patients get well unlocks the workforce investment that drives industry-leading outcomes.

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Three-time founder Sam Yeruva of PyCube joins Jim to break down the unglamorous, mission-critical work of operational reliability in hospitals. Sam explains why he abandoned expensive GPS-style asset tracking for an E-Z Pass model built on passive RFID and software, how PyCube onboarded three hospitals in a single morning, and why pathology samples, blood, and biomed calibration all hinge on knowing where things are. The throughline: standardize the workflow first, because there is no AI without practical intelligence.

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Lily Vittayarukskul, co-founder and CEO of Waterlily, joins Jim to discuss how personalized prediction can replace the panic that follows a long-term care event. After her family nearly went bankrupt caring for an aunt with terminal cancer, Lily built a platform that forecasts each family's likely care timeline, hours, location, and cost. The conversation covers self-funding versus insurance, the rate action problem, and why financial advisors must lead the long-term care conversation.

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Turning Denied Claims Into Revenue With AI:

Roughly one in ten healthcare claims gets denied, and most billing teams sit on a backlog that they never fully work through. 

Roshan Patel, founder and CEO of Arrow, shows how AI at the back end of the revenue cycle recovers 60 to 70 percent of claims and pays providers 50 percent faster. The lesson for healthcare leaders, the hidden revenue is already sitting in your rejected claims.

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Healthcare organizations are racing to layer AI on top of their data, but what happens when that data was never designed for the questions being asked? 

Ryan Leurck, Chief Analytics Officer at Kythera Labs, spent years in aerospace engineering before discovering that healthcare's data quality problems run far deeper than most outsiders expect. 

In this conversation, he shares research showing that large language models produced zero correct answers when applied to raw claims data, and explains why building a reliable semantic and structural foundation is the prerequisite most organizations skip. We dig into the terminology gaps between disciplines, the difference between billing data and decision-ready data, and what it actually takes to make AI useful in healthcare.

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What does it take to move drug discovery from fragmented systems to a predictive, AI-enabled future? Philip Mounteney breaks down the industry's data problem, the promise of agentic AI, and how digital threads can connect discovery, development, and manufacturing. This episode offers a grounded look at how life sciences organizations can work faster, fail earlier, and build toward more personalized medicine.

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