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Tag: AI

AI and Professional Nursing: On a Collision Course

By JEFF GOLDSMITH

In his wonderful and pragmatic new book, A Giant Leap, Dr. Robert Wachter cautions his professional colleagues that simply confiscating potential administrative and clinical staffing savings created by AI could foster a whirlwind of negative consequences for healthcare enterprises.

Nowhere is the explosive potential for reaction to AI incursions into care delivery greater than in nursing, hospitals’ largest single professional expense category. Hospitals employ more than 1.8 million Registered Nurses (RNs) and another 400 thousand non-RN nursing personnel. RNs alone are more than 30% of the hospital salaried workforce, and more than 40% of overall staff costs.

Nursing productivity is a central issue in overall hospital performance, and a key intervening variable both in clinical quality and patient satisfaction. So the capacity of AI to improve nursing productivity will be a core issue in determining AI’s effect on overall hospital operating performance.

There is clearly room for improvement. Studies have shown that nurses spend only 25-30% of their work hours in direct patient care activities. AI’s potential for alleviating the huge administrative burden damaging nursing productivity might be the biggest benefit AI could provide. AI could materially increase nursing time at the bedside, increasing both patient and nursing satisfaction.

However, AI could also reduce hospitals’ nurse headcount, a factor which could, in turn, reduce nursing union membership, the largest and fastest growing single category of hospital employees’ union membership. Almost 18% of all hospital employed RNs are members of labor unions (AFSCME, AFT Healthcare, National Nurses Union, etc. and their local affiliates). Union dues from nurses represent hundreds of millions in annual income to the unions that represent them.

Nursing unions’ most visible public policy initiative, which appeared first in California twenty years ago, was getting its state legislature to mandate nurse to patient staffing ratios in hospitals. These were designed to compel hospitals to hire more nurses with the intention of improving patient safety. What the ratios actually did was throw more nursing bodies at broken processes and systems. These laws had the important collateral benefit of assuring a “guaranteed income” in union dues from more nurses employed by hospitals subject to these ratios!

Formal (though less comprehensive) mandates for nurse staffing ratios have since spread to Oregon, Massachusetts and New York, with legislation pending in Maine, New Jersey, Pennsylvania. Michigan, Minnesota and Washington State. The research on the intended qualitative benefits of California’s state-mandated ratios confirm the expected benefits to patients, though the studies relied upon correlational analyses vs. states without the ratio mandate, not pre- and post- studies of the ratios’ effects on patient care.

Other studies concluded that the ratios pushed up both RN numbers and compensation vs other job categories as well as damaging hospitals’ operating margins relative to states lacking the mandates. The point-counterpoint of these studies gives one a sense of an issue rapidly becoming politicized.

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Ellipsis Health

Ellipsis Health has come a long way from its roots in detecting depression via vocal biomarkers. Sage, its charming voice AI agent, is now helping health plans and care management companies directly interact with patients and members, helping them with medication reminders, program recruitment, postop follow up and much more. I spoke with two of the brains behind Sage, COO Melissa McCool and CMO Mike Aratow. We got into what she does, what she’s good at and whether the world (or at least the health care world) needs specific voice AI specialists–Matthew Holt

Dor Skuler, Intuition Robotics: Meet ElliQ

Dor Skuler is CEO of Intuition Robotics the maker of ElliQ — a remarkable AI robot that is a companion for seniors. I had a lot of fun meeting ElliQ and asking Dor about how she works. This is a wide-ranging interview with Dor and with ElliQ. She tells us about Florence Nightingale, what Dor should do with his kids and really gives you the idea of how she relates to seniors. There’s a ton of capabilities–you really have to watch the whole thing–but the end result is that Medicaid plans including NY and Washington State have determined that ElliQ allows people to stay at home longer and saves $$ on nursing home care. A fascinating view into the present and the future of how AI and robotics is changing the world–Matthew Holt

Don’t Bury The Lead – AI Assisted Measures of Thymic Health Point to a “Fountain of Youth.”

By MIKE MAGEE

In its final summary of the landmark paper in Nature this past month, the authors led with this statement: “This study underscores the highly personalized nature of thymic health and emphasizes the previously unrecognized possible critical role of maintaining thymic health to preserve an agile, adaptive immune response that will accommodate long-term well-being and longevity.”

The articles clinical significance was rapidly rebroadcast by a range of popular science publications like Scientific American. Its March 18th headline read “This overlooked organ may be more vital for longevity than scientists realized.”  Mass General publications trumpeted, “Long Dismissed in Adult Health, the Thymus May Be Critical for Longevity and Cancer Treatment.” And global outlets went a step further with “Once dismissed as biologically obsolete after adolescence, the thymus is now being reclassified as a central regulator of immune aging, with new evidence linking its health to survival, cancer resistance, and how the human body ages itself.”

In their own Abstract, the authors of the Nature publication were somewhat more reserved, and yet the message is still remarkably consequential. They write, “These findings reposition the thymus as a central regulator of immune-mediated ageing and disease susceptibility in adulthood, highlighting its potential as a target for preventive and regenerative strategies to promote healthy ageing and longevity.”

But what intrigued me in the case above was barely mentioned by reviewers so excited by the primary clinical findings. My question was, “How did they measure thymic functionality?” The short answer is, they measured it with the help of an AI deep learning system.

As the authors explained, “In this study, we investigated the impact of thymic functionality, here called thymic health, in adults… For quantification of thymic health, we developed a deep learning system using an independent dataset of 5,674 individuals to determine compositional radiographic characteristics of the thymus as a proxy for its functionality. The system takes a CT scan as input and provides the automatic continuous thymic health estimate as output….We applied the system to prospectively collected data from a total of 27,612 individuals from two cohorts, including 2,581 participants in the FHS and 25,031 participants in the NLST… For outcome analyses, participants were categorized as low, average or high thymic health based on the bottom 25%, middle 50% and top 25% of the population.”

This new methodology to demonstrate different levels of thymic functionality turned out to be groundbreaking when cross-referenced with decades long longitudinal databases. Association with cardiovascular disease and lung cancer; history of smoking, obesity, and high HDL levels; disabilities, morbidity and mortality; sex and age all reinforced that prolonged functionality of the thymus correlated with both health and longevity.

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Philippe Pouletty, Carvolix

Philippe Pouletty is a physician who’s an inventor, French venture capitalist, and the founder of Carvolix. Carvolix is a medical technology company that is introducing AI into cardiology. Before Carvolix, Philippe was the founder of Abivax, which makes drugs for chronic inflammatory diseases like ulcerative colitis. He’s been working on helping French medical products develop before having to sell to bigger US companies, and Carvolix is the latest. It’s an AI system that guides cardiologists and a robot that places heart valves. It’s of particular interest to me, as I need a new heart valve. I had a long and interesting discussion with Philippe about the future of cardiology, particularly heart valve replacement, and also about their upcoming product, a robot to bust brain clots–Matthew Holt

Tom Kelly, Heidi Health

Tom Kelly is the CEO of Heidi Health, another of the many ambient AI scribes that is spreading its wings to other roles, including bringing its own AI Open Evidence competitor! He calls it an AI care partner. Heidi started in Australia, and quickly moved to the UK and Canada, but now are in over one hundred countries. More recently they have come to the US and have now four major health systems and a lot of other mid market users. Tom think’s Heidi will soon do all the “work around the work”, and he doesn’t think it has to be deeply integrated with the EMR. He sees that as a superpower as doctors don’t want to be in the record. Is he right? Are scribes and ambient AI going to be separate? Does the scribe have to be a medical device, as it does in the UK? Will patients use it? Lots of questions about the future and Tom has lots of answers. Some might even be right!–Matthew Holt

Ian Shakil, Commure

Ian Shakil is the Chief Strategy Officer of Commure, the AI platform being used by HCA, Tenet and others. He came to Commure via its acquisition of Ambient AI vendor Augmedix, and there are a lot other other new acquisitions within Commure (Athelas, PatientKeeper, Memora Health, Rx Health etc). We dived in not only about what Commure does but the big question of how does a client like HCA or Tenet decide what Commure does, vs what Meditech does, vs what Google does vs what they do internally. We also (sorta) looked into the various criticisms (basically all from Sergei Polevikov!) of what Commure and its main funder General Catalyst are up to and what is happening at Summa Health the hospital in Ohio that GC bought. He also says the good experience from AI will come to help patients this year, and I’ll be holding him to that!–Matthew Holt

Beyond Generative AI

By BENJAMIN EASTON

Healthcare’s administrative burden is not a documentation problem. It is a workflow problem. Healthcare’s next leap depends on agentic systems that can actually do the work

Over the past year, healthcare organizations have widely adopted generative AI for an array of documentation-related activities such as drafting appeal letters, producing patient-friendly summaries, and even assisting with administrative writing. While these tools have improved how information is created, healthcare’s administrative bottlenecks (e.g., prior authorizations, benefit verification, denial management, clinical trial enrollment), are not caused by a lack of text. They are caused by fragmented systems, manual tracking, payer variability, and workflow handoffs that require continuous monitoring and intervention.

If generative AI helps write the email, agentic systems send it, track it, escalate it, reconcile the response, and close the loop.

That distinction is healthcare’s next inflection point.

From Content Generation to Workflow Execution

An agentic system is not just a chatbot layered onto healthcare workflows. It is a coordinated set of AI-driven agents designed to:

  • Pull structured and unstructured data from EHRs, payer portals, labs, and internal systems
  • Apply payer-specific policy logic
  • Validate documentation requirements
  • Submit transactions through the appropriate channel
  • Monitor status changes
  • Trigger follow-up actions
  • Escalate exceptions to humans
  • Log every action for audit and compliance

Behind the scenes, these systems rely on rule engines, structured clinical mappings, secure API integrations, and event-driven automation frameworks. They continuously re-evaluate state changes (e.g., a new lab result, a status update from a payer portal, or a missing documentation flag) and dynamically adjust next steps.

This is not robotic process automation replaying keystrokes. It is intelligent orchestration across disconnected systems.

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Preeti Bhargava, Arintra

Preeti Bhargava is CTO of Arintra. She is the living embodiment of my crack that the smartest people in the world spent the 2010s convincing people to click on ads and now spend their time figuring out how to bill payers more for providers doing the same work. Arintra is in the RCM business. It uses AI to read the medical chart and automatically generate claims using fewer human coders, and generating up to a 5% revenue uplift for one customer, Mercy Health. Of course those paying those claims may have noticed, so we had a chat about the emerging AI RCM arms race–Matthew Holt

Ratnakar Lavu, Elevance

Ratnakar Lavu is the Chief Digital Information Officer of Elevance, the holding company of Blue Cross and Blue Shield plans in some 14 states (usually called Anthem Blue Cross). We had a great chat about what the priorities are for Elevance, and Ratnakar’s goal is to use tech to make the member experience simple. They are leaning heavily on AI and chatbots to help members inform themselves, and to help providers speed up approvals for prior auth et al. We also discussed how they work with vendors and how they help them scale.–Matthew Holt

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