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Clinical AI
What if autonomous clinical AI is already upon us?
It’s been interesting to juxtapose the social media reaction to the recent Emanuel, Khosla, et al JAMA article on autonomous AI with ARPA-H’s announcement that it has committed $33.7 million to test autonomous clinical AI for cardiovascular care, via its Agentic AI-EnableD CardioVascular CAre TransfOrmation (ADVOCATE) program. This chart provides a summary of the entities involved:
Yet while my social media feed remains littered this week with various clinicians pillorying the JAMA perspective, seemingly equal parts concerned about the safety and viability of the concept of autonomous clinical AI, there’s been virtually no reaction to ADVOCATE, which is actually working to implement the concept of autonomous clinical AI in partnership with both startups and leading institutions including Stanford, Kaiser, Duke, and the AHA.
I look at that slide, and think to myself, man, ADVOCATE seems like a very cool approach to developing clinical AI. It combines support/funding from the federal government, deployment support from large institutions, and startups building out new agentic AI capabilities. This seems like exactly what we should be cheering for as an industry. Why isn’t anyone talking about this more?
It’s a bit odd to me to see a theoretical conversation about this concept generating such blowback, while a practical version actually deploying it goes bump in the night. Take UpDoc as an example of an awardee. It received $9.2 million to develop its clinical AI for autonomous heart failure management from ARPA-H. UpDoc previously announced its FDA-approved autonomous AI model earlier this summer, noting that institutions like Cleveland Clinic are rolling it out.
Personally, it is a pretty clear indicator to me that the concerns raised in response to the JAMA article are a bit overblown. I had the chance to interview Zeke last Friday, and I asked him about the future state of how people access care in this world of autonomous clinical AI. From where I sit, his answer sounded a lot like the general path of travel that ADVOCATE appears to be taking.
The ARPA-H approach strikes me as very interesting here, and when coupled with the conversation with Zeke, both seem to point to the general path ahead for the development of autonomous clinical AI: healthcare delivery institutions will manage AI agents acting on their behalf to autonomously handle a set of well-suited, well-defined use cases. Couple the technological advances with the fact that leading academic institutions have always viewed primary care as a loss leader necessary only to ensure downstream volume, and I’d argue there’s also a pretty clear financial rationale (and probably clinical, too) for leading academic institutions to head in this direction.
I suspect that one of the primary drivers of the different reactions to the JAMA piece and the ADVOCATE announcement is that JAMA invites a question that naturally challenges many clinicians: what is the role of the clinician in an autonomous AI world? I think ADVOCATE elicits less of a reaction because the clinician's role still seems pretty clear to me here. What one person may call autonomous clinical AI, another person may call the next generation of remote monitoring (or digital therapeutic if you’re so inclined). The latter seems much less offensive to the clinical community, understandably.
This shift strikes me as a huge opportunity for enterprising clinicians thinking about what the practice of the future looks like, and I’d actually be willing to bet that if clinical AI works, it will be a good thing for clinicians, much the same as the radiology market has played out over the last decade.
Then again, who knows, apparently AI will kill us all in the next ten years, so perhaps we should stop fretting about this and throw our support behind Bryan Johnson in unlocking immortality.
Veering outside healthcare for a second because I can’t help myself… is there a better schtick for a visionary CEO navigating an insane valuation with a product that might not actually work for customers than convincing everyone that said product is so powerful we need to slow down or it might cause the extinction of our species? Like, here we are debating whether AI agents can manage hypertension on their own, while at the same time people are discussing whether AI agents could decide to go rogue and cause our species to go extinct in the next decade. What an insane dichotomy between those discussions. I can’t help but take note of the data that Ramp shared earlier this week on declining AI spending per employee among the top 1% of employers as I think about the current public discourse.
Employer Market
The great employer health plan replacement?
Everyone reading this newsletter is surely aware at this point of the conversations about cost increases facing the employer market. Politico again highlighted this conversation on Friday, discussing rising healthcare premiums as the next “cost crunch” facing workers. I very much get the sense in conversations that these cost increases are finally resulting in an “in case of emergency, break glass” moment for employers, where they are considering making more drastic changes to healthcare coverage.
Those changes appear to be coalescing around a handful of ideas that seem to be steering employees toward higher-quality, lower-cost options, using a variety of approaches. Those handful of approaches seem to be at the top of this list from the recent Pulse of the Purchaser survey by the National Alliance of Healthcare Purchaser Coalitions, highlighting how employers are seeking to manage hospital costs:

a16z’s Julie Yoo captured this general vibe well in a blog post on Thursday, highlighting this as a generational moment in time she refers to as “the great health plan replacement,” with the table below highlighting how employers are rethinking core health plan concepts, with a few example startups in each category.

One of the more interesting components of this slide is that the last era of approaches to digital health innovation for employers — think brands like Omada, Hinge, Sword, etc — is completely missing as a category in this table. Why is that?
I’d suggest that going back to the Pulse of the Purchaser survey provides some indication here. That chart I included above is from a section on how employers are addressing hospital costs. It would seem that is the core issue at hand, and employers are pursuing these strategies in response to rising costs, while hoping that steering care more deliberately toward high-quality, low-cost care delivery settings can help better manage healthcare costs. While many leading digital health companies have matured over the past several years, employers are still left grappling with these cost issues, offering a sobering glimpse into how relevant those solutions are in today's conversation and the potential headwinds ahead for the traditional digital health models.
At the same time, I’d imagine all of this disruption makes for an exciting time if you’re one of the “challengers” on the list above. If you’re looking for the next generation of “rocket ships” in the employer market, I’d expect they reside somewhere either on or adjacent to this list. Garner Health seems to epitomize this, with its valuation now at $2.74 billion following a May 2026 Series E financing. Note that valuation doubled over the course of a few months from its February 2026 Series D valuation of $1.35 billion. It seems like a safe bet that we'll see a handful of companies on that list have very nice exits over the coming years as the market reacts to this broader shift and the new capabilities required to win.
When handicapping what companies will ultimately succeed here, I think it’s worth taking a step back to consider the capabilities health plans will need to win in the employer market in the coming years. As employer appetite for steering care increases (I’m using steering in a very broad sense here), the BUCA (BUCA = Blues, UHC, Cigna, Aetna) incumbents will almost certainly react and begin adopting these plans. Figuring out what they’ll choose to acquire, partner with, or build internally will be key. We’ve already seen this playing out in the dynamic co-pay market, where it strikes me as a bit ironic that perhaps the most successful “challenger” in the market is Surest. UHG has been touting Surest on its earnings calls for years now as one of the brightest spots in its commercial book, following its acquisition of Bind several years ago. Bind is a great example of what success in this market will look like.
A successful challenger health plan quickly becomes a winning product for BUCA, which then drives reactions from Cigna (Clearity), Aetna (SimplePay), and the Blues (Coupe) to implement a similar product offering. In that sense, it seems like the phrase “the more things change, the more they stay the same” will very much be applicable here. Looking back at the previous eras of generational shifts in plan designs for employers is a worthwhile exercise here, i.e. UHG acquiring Definity in 2004 for $300 million. At the time, Definity was an innovative plan design that would help consumers take control of healthcare spending by introducing higher deductibles tied to medical savings accounts. Today, high deductible health plans are lamented as one of the key consumer issues in healthcare, spurring the next wave of employer plan design innovation.
Chart of the Week
Omada’s first Investor Day
Speaking of the employer market disruption, I always find it interesting to keep an eye on how the public markets are discussing the potential disruption as helpful grounding for the conversation. With that in mind, it is worth paying attention to Omada’s inaugural investor day, which was held on Thursday.
Omada has seemingly executed about as well as one could hope on the public markets, including telling a narrative around meaningful margin expansion that is ahead of expectations. And as it relates to the disruption front, if the PBM and employer health plan market is at risk of being replaced, you wouldn’t know it from that session. Specifically, this slide below highlights how Omada expects to grow over the next several years via its relationships with the Big 3 PBMs and major health plans:
It’s worth noting here that despite positive analyst commentary coming out of the session, Omada’s stock fell almost 12% on the week. It’s hard for me to put too much weight on stock market swings these days, given it’s unclear how much of it is a reaction to the underlying strategy versus algorithmic trading flows triggered by broader macro conversations, but nonetheless, worth noting.
Quote of the Week
InnovAge indicates growing momentum behind PACE

The Program of All-Inclusive Care for the Elderly, PACE, is one of my favorite topics to discuss in all of healthcare, on so many different levels. At its core, you have a clinical model with a decades-long track record of providing high-quality care for a complex, underserved elderly patient population. At the same time, PACE has never quite scaled, with 204 PACE programs serving only 97,000 participants nationwide today. That’s roughly 475 participants per PACE program. This, despite the fact that PACE, rather controversially, began allowing for-profit programs to participate a decade ago.
Enter InnovAge, the largest PACE provider in the country, which reported its FY Q4 2026 earnings this week. A reminder of just how different this model is: InnovAge expects to have ~8,700 patients in FY 2027, generating ~$1.1 billion in revenue. It’s a public company with a $1.5 billion valuation treating those ~8,700 patients. It employs roughly 2,500 people, which equates to one employee per every 3.5 patients. If you’re excited about the transformational potential of AI in healthcare, I’d suggest that starting at this end of the healthcare needs spectrum is a significantly more meaningful opportunity than in the peptide/wellness world, but that’s just me.
InnovAge’s earnings discussion this week highlighted how InnovAge leadership believes the company is entering a third era, one focused on growth in the PACE program. This quote above highlights the momentum.
Keep in mind that Dr. Oz visited an On Lok clinic in early 2025, RFK has more recently visited InnovAge, and HHS released a study earlier this summer highlighting how PACE models outperform others. That is a lot of attention from DC leadership on a model that currently treats 97,000 people nationwide. Blair suggested that there could be upcoming activity on a couple of fronts: 1. making it easier to enroll patients in PACE; 2. making it easier for PACE programs to expand geographies; and 3. a CMMI model testing expanding PACE into Medicare populations.
The CMMI model would be fascinating to see, particularly because of the underlying logic Blair articulates: expanding PACE into Medicare would potentially save both the federal government and states dollars. In the current macro climate, that seems like a winning proposition. I’d imagine we’ll be talking more about this in 2027.
Funding Announcements
In notable pre-Labor Day news, oncology platform Thyme Care announced $125 million in Series E funding at a valuation reportedly north of $2 billion. Morgan Health led the round, and Humana and CVS Ventures continued participating. Those names seem notable here for different reasons: Humana and CVS are the payers driving Thyme Care’s rapid growth in the MA market, while Morgan Health’s mandate focused on the employer market, suggests potential expansion opportunities ahead. Interestingly, as part of this round, Thyme Care announced it is launching a new parent company, Thyme Companies, which will build a portfolio of businesses across the oncology journey. It is actively developing businesses focused on biosimilars and clinical trials, and expects to launch the first business later this year.
Forus, a network supporting specialty pharmaceuticals, raised $150 million at a $3 billion valuation. Bain Capital Ventures led the round. The press release notes that Forus is now used in all 50 states and treats patients in 85% of U.S. zip codes, helping patients navigate the approval process for high-cost specialty medicines. It’s a smart wedge they’ve found here, helping providers navigate the prior auth approval process for these medications, while also helping pharmaceutical manufacturers distribute high-cost specialty medicines. It’s an obvious win-win for the system. Seeing the success of models like this sometimes makes me scratch my head at what insurers are doing here — in some ways it seems like a reflection of insurers being so inept at being the middleman that another middleman has needed to step in to facilitate the transaction more efficiently. You can see why people question what value insurers bring to the table when models like this are needed.
Inspiren, a software provider for senior living facilities, raised a $70 million Series C at a $550 million valuation. NewView Capital led the round. Inspiren combines hardware and software to help reduce falls in senior living facilities, resulting in fewer hospitalizations / ER visits, which is then also associated with increased length of stay in senior living facilities. Seems like a pretty logical financial case for senior living facilities.
Epsilon Health, an AI-native radiology practice, raised $27.6 million. AlleyCorp led the round. The narrative here centers around the fact that, unlike other software for radiologists, Epsilon is building the entire practice around its AI, integrating it into the practice. The press release notes that Epsilon is on track to interpret 1% of all daily US X-rays in 2026. I can’t help but think about this model in relation to the broader conversation about autonomous clinical AI above. Here we are, ten years after predictions that radiologists would be replaced, and instead they’re the leading example of Jevons’ paradox (and the associated debate about whether it’s actually Jevons’ paradox). The average radiologist apparently makes $600k a year, and it is also one of the fastest-growing specialties by compensation. Organizations leaning into the change appear to be doing better than ever. The opportunity for clinicians to lean into rebuilding the practice of the future is clearer than ever, IMO, and funding announcements like this are a clear indicator of that.
What I’m Reading
The Peterson Health Technology Institute released its latest report, focused on virtual solutions for the Chronic Kidney Disease (CKD) market. I’ll just share the report card below, which is… not good:

Andrew Tsang shared a fascinating post looking back at a particularly tense payor/provider negotiation in Boston, when Partners Healthcare (the health system now known as Mass General Brigham) threatened to leave Tufts Health Plan’s network in 2000. It’s a great lens into how complicated these conversations can be, and the negotiating leverage each party has in local markets. I find it fascinating to read this article while thinking about the change afoot in the employer market today, as employers were at the center of this negotiation back in 2000 — as Tsang notes, employers were looking to Tufts to keep premiums down as the insurer, but when Partners started pushing back hard, Partners won. As employers again look to push the limits of how much they can steer care away from certain providers, these stories from the past provide a good roadmap for how this pendulum will shift in the years ahead. You can already start to see evidence of this in places like North Carolina, where Atrium has been pushing back against the State Health Plan.
Shaper Capital’s Travis May penned a fascinating piece looking at his lessons learned from the third year of operating Shaper Capital. Lots of good lessons in here both for entrepreneurs and capital allocators, but two things specifically stood out to me:
The Fractional AI outcome. While May doesn’t say it explicitly, it seems that Fractional AI is the 100x exit he referred to in the piece, given that Anthropic purchased it as the foundation for Ode, its AI services JV with a variety of PE firms. May noted in the piece that Fractional AI struggled to raise funding only six months before the acquisition, which is wild in hindsight.
Protege, a data platform for AI development in healthcare, apparently is generating hundreds of millions of annual revenue and is growing at an astronomical pace — it was founded in 2024, and appears to have grown over 10x in the last year, as the article notes it was in single-digit millions of revenue in the last year. With that sort of growth, you can see why so many investors are focused on getting in early in AI-centric opportunities at the moment.
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