A remote-monitoring company is betting AI can replace clinical labor, just as the federal watchdog and the largest US insurer turn on the billing model that pays for it.
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A company built on "an army of hundreds of clinicians" just raised $1.2 billion to automate them. On June 23, 2026, remote-care company Cadence announced a Series C led by Spark Capital, with Thrive Capital, General Catalyst, Coatue, B Capital, and the venture arms of Duke Health, Corewell Health, and Memorial Hermann, valuing it at a reported $1.23 billion.[2][3] The pitch was not about the clinicians. It was about subtracting them. Cadence intends to use AI agents to, in the words of its chief executive, "automate a chunk of the human work."[1]
It is a clean statement of the bet now running through digital health: that the scarce, expensive input in managing chronic disease is clinical labor, and that software can increasingly stand in for it. "We built Cadence to solve the clinical labor constraint at the heart of the chronic disease crisis," founder and chief executive Chris Altchek said.[2] The company is in early discussions with the Food and Drug Administration about using AI agents in its hypertension program and now monitors more than 100,000 patients.[1] The difficulty is that two separate bodies of evidence cut against the bet. One says the benefit of remote monitoring lives almost entirely in the human attention it sets off. The other says the billing model that pays for the whole arrangement is something regulators and insurers have already started backing away from.
Cadence's product is remote physiologic monitoring for older adults with chronic illness. Patients receive connected devices, such as blood-pressure cuffs, that stream readings to Cadence's clinical team, which adjusts medications and steps in when vitals drift, all delivered under the partner health system's own brand.[3] It covers hypertension, heart failure, and diabetes, and works with more than twenty health systems; the new round added Duke Health and Texas Health Resources.[2] The company says "supervised AI agents" already monitor patient vitals daily, and reports that its annual recurring revenue tripled in 2025, figures it has not broken out in dollars.[2]
The reason to automate is economic. Standard remote-monitoring reimbursement pays a provider on the order of $100 per patient per month, and Cadence has also joined a new Medicare experiment that pays more but only if it hits outcome targets, a model analysts noted would force participants to lean on AI to cut expensive human labor.[4] Automating the clinicians is not a side project. It is how the unit economics are meant to work.
Here is the first problem. The evidence that remote monitoring helps patients points repeatedly at the humans, not the hardware. A large individual patient data meta-analysis of blood-pressure self-monitoring trials found that monitoring alone produced little change - a mere 1.0 mmHg reduction in systolic blood pressure, statistically indistinguishable from zero; the meaningful reductions, up to 6.1 mmHg, came only when monitoring was paired with active support such as counseling and medication adjustment.[5] Two of the largest randomized trials of remote monitoring for heart-failure patients, Tele-HF and BEAT-HF, found no significant reduction in 180-day hospital readmissions or deaths.[6][7] The pattern across the literature is consistent: monitoring works when a clinician acts on the reading for a patient who is genuinely uncontrolled. The data is a trigger; the human response is the intervention.
If that is right, then automating the human layer is not automating the overhead. It is automating the active ingredient. Cadence would dispute the framing, and it has more evidence than most of its peers: it points to its own peer-reviewed studies reporting higher rates of blood-pressure control and fewer hospital admissions among its patients.[2] But those studies are observational, comparing enrolled patients with eligible ones who did not enroll, a design that rewards selecting motivated patients as much as treating them. The honest reading is not that monitoring never helps. It is that what helps is the part Cadence wants to make cheaper.
The second problem is who pays, and why they are starting to stop. Remote monitoring is reimbursed through a set of monthly billing codes: enroll a patient, collect readings on enough days, bill a recurring fee, and bill again the next month for as long as the patient stays on the service.[4] Revenue scales with the number of patients enrolled and the months they are retained, not with whether anyone gets better. That structure is the whole of the critique.
The federal watchdog has noticed. In September 2024, the Department of Health and Human Services' Office of Inspector General reported that remote-monitoring use in Medicare had grown dramatically and that about 43 percent of enrollees billed for it did not receive all three components of the service, and it pressed Medicare to add safeguards.[8] A 2025 follow-up found Medicare payments for remote monitoring exceeded $500 million and developed billing measures to flag practices warranting scrutiny.[12] As Ateev Mehrotra, a Harvard health-policy researcher, put it, "the current billing system encourages a clinician to do it for as many patients as possible," including patients who are already doing well, for whom "adding this on top of that is not going to be beneficial."[9]
Then the largest private insurer moved. UnitedHealthcare announced plans to stop paying for remote monitoring of hypertension, diabetes, chronic obstructive pulmonary disease, depression, and a range of other conditions, keeping it only for heart failure and hypertensive disorders of pregnancy, on the stated ground that for the rest it is "not reasonable and necessary due to insufficient evidence of efficacy." The policy, originally scheduled for January 2026, was subsequently delayed following industry pushback, though UnitedHealthcare stated it still intends to implement the restrictions in 2026.[10] A 2025 study in Health Affairs had already found that adopting remote monitoring raised a practice's Medicare revenue by roughly a fifth, a revenue effect independent of any change in outcomes.[11] This is the backdrop against which STAT reported that Cadence's monthly-billing model "has come under scrutiny from the federal health department's watchdog and from insurers, including UnitedHealthcare," with critics arguing the framework is "ripe for abuse and may support low-quality care."[1]
None of this is an accusation against Cadence. The inspector general's findings are about a category of billing, not a company, and no regulator has tied Cadence to them. Cadence partners with serious institutions, Duke and Corewell among them, and has published more outcome data than most of the field. A company can operate responsibly inside a payment system whose incentives are poorly designed; the two are not in tension. And Cadence's own move toward outcomes-based reimbursement, where it is paid only if patients actually improve, pulls it in the opposite direction from the volume critique. It is precisely that shift that makes the AI bet necessary rather than merely attractive.[4]
An AI agent can read a blood-pressure trend. That part is not in dispute. What is in dispute is whether automating the human response preserves the part that works, or only the part that bills. Clinical automation carries a recognized hazard in the medical literature: the tendency to defer to the machine and miss the signal it was meant to catch, which is precisely the judgment the human layer was there to supply. Remote monitoring helps the right patients when a clinician acts on it. It bills indefinitely for everyone whether or not anyone does. Cadence is wagering that AI can keep the first while scaling the second.
That wager is only as good as the payment model around it. If Medicare and the big insurers push reimbursement toward outcomes, automating the labor is not just defensible but necessary, and Cadence's early move may look prescient. If reimbursement stays volume-based, automation mostly lets the meter run faster and cheaper. Which way the money flows will decide whether the army of clinicians Cadence is replacing was the obstacle to better chronic care, or the thing that made it work.
STAT News, "Cadence raises $100 million to automate chronic disease care with regulated AI," June 23, 2026 - statnews.com Inline ↗
Cadence, "Cadence Raises $100M Series C Led by Spark Capital to Automate Chronic Care," official announcement, June 23, 2026 - cadence.care Inline ↗
MedCity News, "Cadence Rakes In $100M to Automate Chronic Care at Scale," on Cadence's $1.23B valuation, $241M total raised, and clinical model, June 24, 2026 - medcitynews.com Inline ↗
STAT News, on Medicare's outcomes-based ACCESS model and why remote-monitoring firms will lean on AI, March 9, 2026 - statnews.com Inline ↗
Tucker KL et al., "Self-monitoring of blood pressure in hypertension: A systematic review and individual patient data meta-analysis," PLOS Medicine, September 2017 - journals.plos.org Inline ↗
Chaudhry SI et al., "Telemonitoring in Patients with Heart Failure" (Tele-HF), New England Journal of Medicine, 2010 - nejm.org Inline ↗
Ong MK et al., "Effectiveness of Remote Patient Monitoring After Discharge of Hospitalized Patients With Heart Failure" (BEAT-HF), JAMA Internal Medicine, 2016 - jamanetwork.com Inline ↗
HHS Office of Inspector General, "Additional Oversight of Remote Patient Monitoring in Medicare Is Needed," OEI-02-23-00260, September 2024 - oig.hhs.gov Inline ↗
Healthcare Innovation, quoting Harvard's Ateev Mehrotra on remote-monitoring billing incentives, January 26, 2024 - hcinnovationgroup.com Inline ↗
STAT News, on UnitedHealthcare announcing plans to narrow remote-monitoring coverage to two conditions, with implementation delayed from January 2026 following industry pushback, November 7, 2025 - statnews.com Inline ↗
Health Affairs, study finding remote monitoring raised practice Medicare revenue by roughly 20 percent, 2025 - healthaffairs.org Inline ↗
HHS Office of Inspector General, "Billing for Remote Patient Monitoring in Medicare," OEI-02-23-00261, August 2025 - oig.hhs.gov Inline ↗