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Want to get rich in health care? Ditch the startup and run a hospital

By MATTHEW HOLT

Given that I ran a health technology conference for many years, I tend to run in a circle of people who have some ambition to get rich in health care. After all, billions of dollars of VC money have been dropped in lots of startups over the last decade, and a few prime examples have done very well. For example Jeff Tangey of Doximity, Glen Tullman of Livongo,  Chaim Indig of Phressia and many others did fine when their companies IPOed in the late 2010s. But the truth is that many, many more have either started a health tech business that didn’t make it, or were foot soldiers in others that died along the way (Olive, Babylon, Pear, etc, etc). Which has been leading me lately to thinking about whether that’s the right approach to take if you want to make money in health care. Hint: it’s not.

There’s still tremendously little transparency about which health care organizations have what amount of money and what people earn. There is though one sector that by law has to publish information about revenue, profits, investments and executive compensation. That is the non-profit hospital/health system sector. Nonprofits are required to file Form 990 with the IRS that has that information and more on it. Having said that, most hospitals are frequently late in filing them, and file them in a very confusing way. The wonderful journalism organization ProPublica maintains a database of all 990 filings and it’s instructive to look around in it.

Some health systems make it relatively easy. UPMC, the huge western PA conglomerate files one 990 for the whole group. Others, not so much. I know that Providence, the huge west coast system, has overall revenue of $28bn but only because Fierce Healthcare told me. Had I tried to piece that together from its 990s, I’d have started with its Washington filing ($6bn), moved on to its Oregon filing (~$5bn) and then started getting confused..

Let’s say you wanted to easily figure out Advocate, the system that was the merger of the huge midwestern system with Atrium, the North Carolina-based one. Good luck. You can find Advocate but Atrium’s seems to be missing. Ditto for Carolinas Health, its previous name. There is a page calling itself Financial Information on the Atrium website, but it doesn’t have any, and tells you to go to a website set up for municipal bondholders. In fact I couldn’t find any evidence of the IRS auditing any large system, or fining them for non-compliance in filing.

The good news is that last year the North Carolina State Employees plan, i.e. a pissed off purchaser, dug into all the N. Carolina hospital systems and found out that Atrium’s CEO pay went up nearly five-fold over six years. But even the state had real trouble finding out the truth:

“It is important to understand that these figures are significant underestimates for three reasons. First, a legal loophole denies the public the right to see how much publicly owned hospitals reported paying their top executives on their tax filings. This failure of oversight hides the tax filings of more than three in 10 nonprofit hospitals in North Carolina, including Atrium and UNC Health. UNC Health did not answer a public records request for executive compensation data until February 13, 2023, two days before this report’s publication and almost three months after its receipt of the request. UNC Health’s system wide data is therefore not included in this report.” 

So the very top dogs are doing well. At UPMC it turns out that seven made more than $3m including the CEO Jeff Romoff –the same one who forgot on 60 Minutes whether he made $6m or $7m. Turns out he didn’t have to remember that number for long as by 2021 he was making $12m.

But the munificence is spreading down the executive ladder. To demonstrate, let me introduce you to Tracey Beiriger Esq. There’s almost no information about Tracey on Linkedin or anywhere else on Google other than it appears he or she is an IP lawyer at UPMC. So why do I bring them up?

Because in 2021–the last year for which UPMC filed a 990 –Tracey was the 118th highest paid executive at UPMC and had the misfortune to only make $499,446.

Which means that 117 executives working at UPMC made more than $500,000. It’s a little tricky figuring out the similar numbers at Providence because of the multiple 990s in 2021 but there are 38 in Washington (not including CEO Rod Hochman who made $9m in 2020 and then vanished from the 2021 990!), 18 in Oregon and another 21 in Southern California. So call it 80+.

I bring this up because $500,000 is a pretty decent individual income. When I asked ChatGPT it estimated about 1.2 million Americans earned that much or more. Given the workforce is 167m, that puts those several hundred hospital execs way into the top 1%.

Now I have no objection to people earning good money. I’m sure they have all worked very hard for it. But if you look at these organizations, they do not seem to be spreading the wealth very far. 

Last year UPMC was accused by unions of suppressing staff wages. There is yet to be an outcome from that complaint to the DOJ, but last week there was one from a formal class action complaint about Providence shortchanging employees by rounding down their pay to the nearest half-hour, even though they were clocking on and off by the minute. Providence was fined $200m which probably isn’t much split between 33,000 employees but at least indicates that their senior management acts just like any other aggressive business in terms of cutting costs on the backs of their employees. And it’s not just their employees. They also just got fined $137m for aggressively suing patients.

Which leads me to two final points.

The first is, is it more likely you’ll make that $500K+ in a hospital system or in a tech startup? Blake Madden at Hospitology has been tracking systems that have more than $1bn in revenue. He’s found 113 so far. Second bottom of the list is Atlanticare in NJ, which has 16 execs making more than $500K.  Which by my wild guess means that the average system has about 50 employees making $500k+  which rounds up to something like 5,000 hospital execs making at least $500K and many of them are making a whole lot more. 

Compare that to a successful health tech startup that actually makes it. Take Phreesia, a VC-backed start-up that went public in 2019 having started way back in 2007. (I know the year because CEO Chaim Indig launched at Health 2.0 in 2008. He was nice enough to let me buy some stock at the IPO and I made a few bucks). Chaim made $300K the year it went public and as CEO of a public company that’s bounced around at being worth between $1Bn and $4Bn, he made $750K last year. No one else made more than $500K. Now yes, he owned 4% of the company at the IPO and got awarded more stock. He is doing very well, but the point is that there were dozens of companies launching at Health 2.0 in 2008 and the vast majority don’t get close to an IPO or making any money for the founders, let alone the staff. 

My conclusion is, it’s not a rational bet to go the health tech route if instead you can find a regional hospital chain and brown-nose your way up into the exec ranks!

The second point is more fundamental. Remember UPMC and its 117 execs making $500K+? What would a comparable government agency be paying out? I looked at the state of California salaries.There look to be about 50 state employees making more than $500k a year, almost all working for the state investment fund CALPERS. But the top paying one only makes $1.6m a year. I’m not saying that CALPERS should be paying out that much even if it is competing with Wall Street, after all members of the Senate only make $205,000 a year and the state could just put the whole pension into an S&P index fund. But what I am saying is that we should be thinking about paying our big non-profit systems similarly to government employees because they essentially are government employees.

Beckers posted UPMC’s payor mix last year. I highly suspect you’ll find something similar at almost every big system. 

  • Medicare 48%
  • Medicaid 17%
  • UPMC as Insurer 11%–(60% of whom are Medicaid/Medicare patients)
  • Commercial, Self Pay, Other 24%

More than 70% of the money comes from the government, and the rest from the suckers who have to buy their insurance on the “open market”–which includes those buying via the ACA exchange, receiving government subsidies, and government employees.

So while these huge systems act like Fortune 100 companies and reward their executives accordingly, almost all the money comes from the taxpayer.

I wish I could say we are getting good value for it.

And yes, I didn’t even mention the for-profits and the big insurers, but that will have to wait for another day….

Matthew Holt is the founder & publisher of THCB

Will AI Revolutionize Surgical Care?  Yes, But Maybe Not How You Think

By MIKE MAGEE

If you talk to consultants about AI in Medicine, it’s full speed ahead. GenAI assistants, “upskilling” the work force, reshaping customer service, new roles supported by reallocation of budgets, and always with one eye on “the dark side.”

But one area that has been relatively silent is surgery. What’s happening there? In June, 2023, the American College of Surgeons (ACS) weighed in with a report that largely stated the obvious. They wrote, “The daily barrage of news stories about artificial intelligence (AI) shows that this disruptive technology is here to stay and on the verge of revolutionizing surgical care.”

Their summary self-analysis was cautious, stating: “By highlighting tools, monitoring operations, and sending alerts, AI-based surgical systems can map out an approach to each patient’s surgical needs and guide and streamline surgical procedures. AI is particularly effective in laparoscopic and robotic surgery, where a video screen can display information or guidance from AI during the operation.”

The automatic emergency C-Section in Prometheus–Coming, but not quite yet!

So the ACS is not anticipating an invasion of robots. In many ways, this is understandable. The operating theater does not reward hyperbole or flash performances. In an environment where risk is palpable, and simple tremors at the wrong time, and in the wrong place, can be deadly, surgical players are well-rehearsed and trained to remain calm, conservative, and alert members of the “surgical team.”

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Nvidia’s AI Bot Outperforms Nurses: Here’s What It Means for You  

By ROBBIE PEARL

Soon after Apple released the original iPhone, my father, an unlikely early adopter, purchased one. His plan? “I’ll keep it in the trunk for emergencies,” he told me. He couldn’t foresee that this device would eventually replace maps, radar detectors, traffic reports on AM radio, CD players, and even coin-operated parking meters—not to mention the entire taxi industry.

His was a typical response to revolutionary technology. We view innovations through the lens of what already exists, fitting the new into the familiar context of the old.

Generative AI is on a similar trajectory.

As I planned the release of my new book in early April, “ChatGPT, MD: How AI-Empowered Patients & Doctors Can Take Back Control of American Medicine,” I delved into the promise and perils of generative AI in medicine. Initially, I feared my optimism about AI’s potential might be too ambitious. I envisioned tools like ChatGPT transforming into hubs of medical expertise within five years. However, by the time the book hit the shelves, it was clear that these changes were unfolding even more quickly than I had anticipated.

Three weeks before “ChatGPT, MD” became number one on Amazon’s “Best New Books” list,  Nvidia stunned the tech and healthcare industries with a flurry of headline-grabbing announcements at its 2024 GTC AI conference. Most notably, Nvidia announced a collaboration with Hippocratic AI to develop generative AI “agents,” purported to outperform human nurses in various tasks at a significantly lower cost.

According to company-released data, the AI bots are 16% better than nurses at identifying a medication’s impact on lab values; 24% more accurate detecting toxic dosages of over-the-counter drugs, and 43% better at identifying condition-specific negative interactions from OTC meds. All that at $9 an hour compared to the $39.05 median hourly pay for U.S. nurses.

Although I don’t believe this technology will replace dedicated, skilled, and empathetic RNs, it will assist and support their work by identifying when problems unexpectedly arise. And for patients at home who today can’t obtain information, expertise and assistance for medical concerns, these AI nurse-bots will help. Although not yet available, they will be designed to make new diagnoses, manage chronic disease, and give patients a detailed but clear explanation of clinician’ advice.

These rapid developments suggest we are on the cusp of technology revolution, one that could reach global ubiquity far faster than the iPhone. Here are three major implications for patients and medical practitioners:  

1. GenAI In Healthcare Is Coming Faster Than You Can Imagine

The human brain can easily predict the rate of arithmetic growth (whereby numbers increase at a constant rate: 1, 2, 3, 4). And it does reasonably well at comprehending geometric growth (a pattern that increases at a constant ratio: 1, 3, 9, 27), as well.

But even the most astute minds struggle to grasp the implications of continuous, exponential growth. And that’s what we’re witnessing with generative AI.

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What Walmart said & What Walmart Did: Not the same thing

Walmart surprised us all and changed its mind about primary care yesterday. It’s out.

Because so few people have seen it I want to show what Walmart‘s head of health care said just 18 months ago (Nov 2022). Today they are finally killing off the 6th different strategy they’ve had (maybe it was 4). I guess (unlike CVS & Walgreens) they don’t have to write down investment in Oak Street or VillageCare, but they never worked out that primary care is only profitable if it’s 1) very low overhead 2) a loss leader for more expensive services (as most hospitals run it) or 3) getting a cut of the $$ for stopping more expensive services (Oak Street, Chenmed, Kaiser).

At HLTH 18 months ago I interviewed Cheryl Pegus who was then running Walmart and I asked why anyone should trust them, given how often they changed. Sachin H. Jain, MD, MBA Jain answered for her and said, “because they have Cheryl!” — Cheryl then said, “at Walmart the commitment to delivering health care is bigger than anywhere I have ever worked”. “Right now I have 35 centers in 3 years I’ll have 100s”  see 11.00 onwards in the video below, although the whole thing is worth a look

Cheryl though left Walmart THE NEXT WEEK!

What’s behind all these assessments of digital health?

By MATTHEW HOLT

A decent amount of time in recent weeks has been spent hashing out the conflict over data. Who can access it? Who can use it for what? What do the new AI tools and analytics capabilities allow us to do? Of course the idea is that this is all about using data to improve patient care. Anyone who is anybody, from John Halamka at the Mayo Clinic down to the two guys with a dog in a garage building clinical workflows on ChatGPT, thinks they can improve the patient experience and improve outcomes at lower cost using AI.

But if we look at the recent changes to patient care, especially those brought on by digital health companies founded over the past decade and a half, the answer isn’t so clear. Several of those companies, whether they are trying to reinvent primary care (Oak, Iora, One Medical) or change the nature of diabetes care (Livongo, Vida, Virta et al) have now had decent numbers of users, and their impact is starting to be assessed. 

There’s becoming a cottage industry of organizations looking at these interventions. Of course the companies concerned have their own studies, In some cases, several years worth. Their  logic always goes something like “XY% of patients used our solution, most of them like it, and after they use it hospital admissions and ER visits go down, and clinical metrics get better”. But organizations like the Validation Institute, ICER, RAND and more recently the Peterson Health Technology Institute, have declared themselves neutral arbiters, and started conducting studies or meta-analyses of their own. (FD: I was for a brief period on the advisory board of the Validation Institute). In general the answers are that digital health solutions ain’t all they’re cracked up to be.

There is of course a longer history here. Since the 1970s policy wonks have been trying to figure out if new technologies in health care were cost effective. The discipline is called health technology assessment and even has its own journal and society, at a meeting of which in 1996 I gave a keynote about the impact of the internet on health care. I finished my talk by telling them that the internet would have little impact on health care and was mostly used for downloading clips of color videos and that I was going to show them one. I think the audience was relieved when I pulled up a video of Alan Shearer scoring for England against the Netherlands in Euro 96 rather than certain other videos the Internet was used for then (and now)!

But the point is that, particularly in the US, assessment of the cost effectiveness of new tech in health care has been a sideline. So much so that when the Congressional Office of Technology Assessment was closed by Gingrich’s Republicans in 1995, barely anyone noticed. In general, we’ve done clinical trials that were supposed to show if drugs worked, but we have never really  bothered figuring out if they worked any better than drugs we already had, or if they were worth the vast increase in costs that tended to come with them. That doesn’t seem to be stopping Ozempic making Denmark rich.

Likewise, new surgical procedures get introduced and trialed long before anyone figures out if systematically we should be doing them or not. My favorite tale here is of general surgeon Eddie Jo Riddick who discovered some French surgeons doing laparoscopic gallbladder removal in the 1980s, and imported it to the US. He traveled around the country charging a pretty penny to  teach other surgeons how to do it (and how to bill more for it than the standard open surgery technique). It’s not like there was some big NIH funded study behind this. Instead an entrepreneurial surgeon changed an entire very common procedure in under five years. The end of the story was that Riddick made so much money teaching surgeons how to do the “lap chole” that he retired and became a country & western singer.

Similarly in his very entertaining video, Eric Bricker points out that we do more than double the amount of imaging than is common in European countries. Back in 2008 Shannon Brownlee spent a good bit of her great book Overtreated explaining how the rate of imaging skyrocketed while there was no improvement in our diagnosis or outcomes rates. Shannon by the way declared defeat and also got out of health care, although she’s a potter not a country singer.

You can look at virtually any aspect of health care and find ineffective uses of technology that don’t appear to be cost effective, and yet they are widespread and paid for.

So why are the knives out for digital health specifically?

And they are out. ICER helped kill the digital therapeutics movement by declaring several solutions for opiod use disorder ineffective, and letting several health plans use that as an excuse to not pay for them. Now Peterson, which is using a framework from ICER, has basically said the same thing about diabetes solutions and is moving on to MSK, with presumably more categories to be debunked on deck.

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Ready for Robots?

By KIM BELLARD

When I was young, robots were Robby the Robot (Forbidden Planet, etc.), the unnamed robot in Lost in Space, or The Jetsons’ Rosey the Robot. Gen X and Millennials might think instead of the more malevolent Terminators (which, of course, are actually cyborgs). But Gen Z is likely to think of the running, jumping, back-flipping Atlas from Boston Dynamics, whose videos have entertained millions.

Alas, last week Boston Dynamics announced it was discontinuing Atlas. “For almost a decade, Atlas has sparked our imagination, inspired the next generations of roboticists and leapt over technical barriers in the field,” the company said. “Now it’s time for our hydraulic Atlas robot to kick back and relax.”

The key part of that announcement was describing Atlas as “hydraulic,” because the very next day Boston Dynamics announced a new, all-electric Atlas: “Our new electric Atlas platform is here. Supported by decades of visionary robotics innovation and years of practical experience, Boston Dynamics is tackling the next commercial frontier.” Moreover, the company brags: “The electric version of Atlas will be stronger, with a broader range of motion than any of our previous generations.”

The introductory video is astounding:

Boston Dynamics says: “Atlas may resemble a human form factor, but we are equipping the robot to move in the most efficient way possible to complete a task, rather than being constrained by a human range of motion. Atlas will move in ways that exceed human capabilities.”

They’re right about that.

CEO Robert Playter told Evan Ackerman of IEEE Spectrum: “We’re going to launch it as a product, targeting industrial applications, logistics, and places that are much more diverse than where you see Stretch—heavy objects with complex geometry, probably in manufacturing type environments.”

He went on to elaborate:

This is our third product [following Spot and Stretch], and one of the things we’ve learned is that it takes way more than some interesting technology to make a product work. You have to have a real use case, and you have to have real productivity around that use case that a customer cares about. Everybody will buy one robot—we learned that with Spot. But they won’t start by buying fleets, and you don’t have a business until you can sell multiple robots to the same customer. And you don’t get there without all this other stuff—the reliability, the service, the integration.

The company will work with Hyundai (which, ICYMI, owns Boston Dynamics). Mr. Playter says Hyundai “is really excited about this venture; they want to transform their manufacturing and they see Atlas as a big part of that, and so we’re going to get on that soon.”

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Jeff Gartland, Relatient

Relatient focuses on intelligent scheduling, specifically for the larger specialty groups. They touch over 50m patients and 45,000 providers a year, and are now a significant player in the key part of patient experience–converting a patient looking into an actual appointment with the provider. I spoke with CEO Jeff Gartland at HIMSS in March 2024.–Matthew Holt

Aasim Saeed, CEO of Amenities

Aasim Saeed is the CEO of Amenities. He’s a doc, ex-McKinsey Consultant and spent a lot of time building a version of his tool for Baylor Scott & White. We had a wide ranging conversation about how health systems treat patients (not well), whether health systems know the value of their customers (no!), and how to bump up “in network” utilization. Amenities is a front door tool that essentially replaces those sh*tty MyChart portals, and eventually will lead to creating a loyalty membership experience. He gave me a tour of the new-ish tool that is live at MemorialCare in southern California, and coming soon to a system near you.–Matthew Holt

Harnessing Digital Innovation to Unlock Cancer Discoveries

By DOUG MIRSKY & BRIAN GONZALEZ

What if digital innovations could be the key to reducing the burden of cancer? CancerX was founded in 2023 as part of the Cancer Moonshot to achieve this goal. By uniting leading minds across industries such as technology, healthcare, science, and government, we are breaking down silos and leveraging digital innovation in the fight against cancer. With ambitious goals to cut the death rate from cancer by at least 50% and to improve the experience of people who are affected by cancer, digital innovation is critical.

As a public-private partnership co-hosted by Moffitt Cancer Center and the Digital Medicine Society, CancerX has created a unique ecosystem and community of public and private innovators. We are focused on fostering innovation and collaboration to accelerate the pace of digital tools to help patients across their entire cancer journey. We unite experts across industries and the government, leveraging the success of the Department for Health and Human Services’ InnovationX model; a public-private partnership approach that has driven breakthroughs in kidney care, Lyme disease and COVID-19. In collaboration with the Office of the National Coordinator for Health Information Technology (ONC) and the Office of the Assistant Secretary for Health (OASH), CancerX is in sync with the US government in our common Cancer Moonshot goals to boost government-wide engagement with industry muscle. This type of multidisciplinary partnership is necessary to change the landscape of cancer treatment and care.

At the one year anniversary of CancerX, we look back on a very fast pace in building up our three pillars of work, demonstrating the ways that digital innovation is contributing to fighting cancer:

  1. Pre-Competitive Evidence Generation – A rolling series of multi-stakeholder initiatives to develop evidence, best practices, toolkits, and value models to drive the success of the mission.
  2. Demonstration Projects – These implementation projects pilot novel, mission-aligned approaches to demonstrate their value and sustainability for scale to drive broad adoption.
  1. Startup Accelerator – This program provides mentorship, education, and exposure to funding and clinical partnership opportunities to a start-up cohort aligned with the mission.

And we are already deeply underway with efforts across each of the three pillars.

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