Managed Care 3.0: Rise of the Robots


Healthcare payment in the US has evolved in decades-long sweeps over the past fifty years, as both public programs and employers attempted to contain the relentless rise in health costs.  Managed care in the United States has gone through three distinct phases in that time- from physician- and hospital-led delegated risk to “shadow” capitation via virtual networks like ACOs to machine-governed payment systems, where intelligent agents (AI) using machine learning are managing the flow of dollars.  Increasingly, care is being managed not by physicians or health systems but by computerized documentation and payment systems governed by artificial intelligence (AI).  

Phase I- Health Maintenance Organizations and Delegated Risk

After a lengthy stretch of double-digit health cost inflation following the passage of Medicare in 1965, the Nixon administration launched a bold initiative- the HMO Act of 1973- to attempt to tame health costs.   The goal of the HMO Act was to power up prepaid health plans modeled on the Pacific Coast-based Kaiser Foundation Health plans nationwide.  The Act provided federal start-up funds and subsidies for HMOs.  It also compelled employers to offer HMOs as an alternative to Blue Cross and indemnity insurance.  These plans were intended to save money by managing a fixed annual budget for care (the number of subscribers multiplied by an annual premium) vs. the legacy, open-ended fee-for-service system.  

While a few HMOs either employed physicians directly on salary (staff models like the Group Health Co-Operatives), or contracted on an exclusive basis with an affiliated physician group (like Kaiser’s Permanente Medical Groups), many more delegated capitated risk to special purpose physician networks- Independent Practice Associations (IPAs)- whose physicians continued in private medical practice.  Capitation created a compelling incentive for physicians to economize in care provision.  

By 1996, according to the Kaiser/HRET employee benefits survey, HMOs covered 31% of the employer market (roughly 160 million employees and dependents).  The impact of HMO growth on overall US health spending remains uncertain, because health spending continued growing aggressively during the next fifteen years,  only abating during the mid-1990’s around the Clinton Health Reform debate.

Two things brought the HMO movement to a crashing halt in the late 1990’s.  One was a political backlash from workers and their families who were simply assigned to HMOs by their employers, rather than choosing them themselves.  This unilateral assignment violated a fundamental principle of HMO advocates like Paul Ellwood, who championed consumer choice.   Employees and their families so assigned found their access to care narrowed by the mechanical application of medical necessity criteria to their care.  Women, who are the pivotal actors in managing their families’ health and were growing increasingly confident of their political influence, went ballistic.  

The other political force that helped quash the HMO movement was angry pushback from physician communities, particularly specialists, who bitterly resented the invasion of their professional freedom by prior authorization and medical necessity reviews. Physicians also resisted pressure to discount their rates to the HMOs, which reduced their incomes. A major concurrent financial blow to HMOs was a sharp downward adjustment in Medicare payment rate for health plans in the Balanced Budget Act of 1998.  

In the aftermath of this reaction, closed panel, delegated-risk capitation gave way to open panel “preferred provider organization” (PPO) models which paid physicians and hospitals a discounted fee-for-service.  PPOs were basically an industrialized version of traditional Blue Cross, but with allegedly narrower provider networks. PPOs offered patients broad access to physician and hospital networks and somewhat less interference in physician decision making.   

As PPOs rolled out,  the threat of being excluded from PPO networks led to a lengthy and damaging provider pricing panic.    As PPOs spread, their networks broadened to be virtually indistinguishable from Blue Cross networks in many communities.  Providers who discounted their rates in the panic to avoid being excluded from PPOs discovered to their horror that their pricing concessions yielded no growth in volume or market share, just reduced revenues.   

By 2014, HMO’s share of the total commercial market had shrunk to only 13%, well less than half of its peak.  Where HMOs grew, it was through Medicare Advantage and managed Medicaid.  There was an important exception to this trend.   While the HMO industry shrank nationally, Kaiser saw its enrollment grow to more than 12 million, dominant on the Pacific Coast but a negligible presence nationally.   Strong regional HMOs sponsored by health systems and physician organizations competed with Kaiser in the West and in a scattering of non-Western markets against traditional health insurers.

HMOs are not “over”, however.  From 2016 to 2019, HMO penetration in the commercial market quietly grew to 19% mainly at the expense of PPO coverage, according to the very same Kaiser/HRET survey.  And in 2018, about two thirds of the 22 million Medicare Advantage subscribers are in HMOs.    While HMOs by no means disappeared, the “movement” fell short of national reach. HMOs remain a negligible presence in the most rapidly growing parts of the US- the Southwest, South and Mid-Atlantic regions.

Phase II- Managed Care Lite plus Rising Patient Cost Sharing 

After the 2008 recession, employers and their health plans shifted strategy from putting physicians and hospitals at risk to putting patients at risk.  In the wake of the recession, the number of patients with high deductible health plans nearly sextupled- to over sixty million lives (see earlier cited Kaiser/HRET survey).  By 2019, 30% of the “lives” in employer-based plans were in high deductible plans regardless of patient economic circumstances. 

At the same time, Medicare moved aggressively to get providers into a new, less politically inflammatory version of managed care for large regular Medicare market (e.g. the non-Medicare Advantage portion).  The 2010 Affordable Care Act catalyzed the formation of new, virtual, special-purpose managed care enterprises called Accountable Care Organizations.   Two key changes in approach vs HMOs were conditioned by the managed care backlash:  Medicare patients were not forced into managed care plans (or even told they were in them), and providers would be insulated from downside financial risk for a lengthy period.  

Unlike with HMOs, patients would not be asked to choose an alternative “value -based” care system, nor would they receive any of the savings generated by the presumably better care management.   Under ACOs, patients would be statistically assigned retrospectively to ACO panels based on whether their primary care physician was participating.  ACO membership was a statistical construct, not a consensual patient panel. 

Secondly, Medicare retained the risk, paying for care in the first instance based of the Medicare fee schedule, then retrospectively calculating whether ACOs achieved savings relative to local spending benchmarks.  The vast majority of ACOs bore no downside risk, meaning that if they overspent their spending targets, Medicare absorbed the losses.  ACOs would earn bonuses, however, based on beating statistically determined savings targets.    And as part of the bargain, ACOs had to submit voluminous “quality” information and meet predetermined quality metrics.  

Large commercial health plans serving employers shadowed the Medicare program, taking advantage of yet another hospital pricing panic to create new virtual ACO networks based on deeply discounted rates.   Most of the plans offered under ObamaCare’s insurance exchanges were of this type.   While it was assumed by providers that commercial ACOs would move rapidly toward true delegation of risk, a decade on, the risk mysteriously has not passed over to providers, who have spent at least $10 billion preparing for ACOs.  Moody’s Investor Service  found that the median US hospital received only 1.8% of their revenues from capitation, and another 1.9% from “two-sided” ACO style risk in 2018, proportions that barely rose in five years from 2014 to 2018.  The much hyped movement “from volume to value” has been largely illusory.

Though the ACO “industry”, mainly consultants and investors,  continue hyping the idea, the federal ACO program has so far not saved the Medicare program a penny, if one counts the bonuses paid out to successful ACOs, the cost overruns by the ACOs that missed their cost targets, and the cost to Medicare of setting up, administering and monitoring the program. Paid out bonuses tended to be highly concentrated in those fortunate ACOs operating in high Medicare cost markets.  Medicare’s ACOs have been, to quote MedPac, a “disappointment” (see “Medpac Medicare Advantage and ACOs Can’t Cut Costs and We’ll Never Know Why” And to no one’s surprise,  physician-sponsored ACOs decisively outperformed those sponsored by hospitals.   If there have been any savings to anyone or bonuses paid from commercial ACOs to provider networks, they remain a closely guarded secret.  Today, perhaps 10% of the US population is in some form of ACO.  

Phase III- Machine Driven Managed Care.  

The reason for the reluctance of health plans to delegate risk to providers is that not only would they have had to share profits with providers (from reducing the cost trend) , but, crucially, they would have lost much of the new data they were gathering on physicians and patients. This would have meant the loss of a crucial leverage point in containing medical costs.   “Value based care” has seen a shift in economic power from hospitals to health plans (see attached graph from Nate Kaufman). 

Health Insurance Premium Growth vs Hospital Payment Rate Growth

Much of this trend change was due to the pricing panic referred to earlier- as hospitals and physicians scrambled to avoid being excluded from new “narrow network” plans targeted at the ObamaCare health exchanges and Medicaid managed care.   But in addition, health plans markedly increased the use of contractors employing artificial intelligence (AI) –  data mining, algorithms and machine learning – to comb through the newly rich medical claims data sets to deny or reprice claims submitted by hospitals and physicians for their commercial, Medicare Advantage and Medicaid managed care patients. 

A shadowy industry populated with billion dollar high tech firms no one in the care system had ever heard of – with names like Emdeon (now Change Healthcare), Equian (now part of Optum) , MultiPlan and Cotiviti – emerged to service health plans with automated systems to review hospital and physician claims prior to payment.   Many of these firms were founded after the passage of the Health Insurance Portability and Accountability Act of 1996 (HIPAA) whose “administrative simplification” provisions catalyzed a push toward electronic data interchange of medical claims (EDI).  These firms ramped up rapidly as ubiquitous broadband replaced expensive dedicated T-1 lines. They marketed their expanded role as part of the war against medical “fraud and abuse”.    

A key factor in the wave of denials was the increased centrality of hospital emergency admissions as the main gateway to complex and expensive inpatient care.  With primary care physicians withdrawing from hospital practice, decisions to admit patients to hospitals were increasingly made by employed physicians or physician contractors to the hospital.     Upwards of 70% of patients in many health systems are admitted through the emergency room and care is rendered to those patients on an urgent basis.    “Prior authorization”, a forty year old HMO expense control tool for managing “elective care”, has given way to “prospective pre-payment review” applied after hospitals have admitted and cared for patients and submitted insurance claims.    

Hospitals saw, in some cases, a doubling of claims denials or “repricing” in just a twelve to eighteen-month period after 2016 based on these automated “prospective” reviews.   This surge of machine-driven denials played a major role in the mysterious 39% plummet in hospital operating earnings seen in 2016 and 2017.  These denials often result in unexpected higher bills to patients with high deductible plans as well as significant new administrative expenses for hospitals to track and contest the surge of denials.  Many patients were unable to pay these unexpectedly higher expenses, resulting in a rise of “insured self-pay” bad debts. 

Hospitals and health systems are getting help pushing back against automated payer-driven AI claims review systems.  A private equity funded startup, Olive, has developed  its own AI systems to audit hospital claims prior to submission )   Olive and other companies will use robotic process automation (RPA) to manage documentation to make sure they minimize the risk of a costly denial, and to assure “payment integrity”.  Thus, the next decade is likely to see an escalating war of robotic provider and payer AI systems managing the filing and adjudication of medical claims. 

COVID has produced what seems like a temporary cease fire in this “War of the Robots”.  This is because the shutdown of routine care in hospitals has produced a multi-hundred billion windfall in cash flow for health plans.  Denying care during a health emergency could produce a lot of ugly headlines, so plans appear to have turned the “denial machine” off, according to colleagues in the revenue cycle industry.  This will magically raise their medical expenses (the so-called Medical Loss Ratio or MLR) and lower their political profile. Plans do not want to be socked with a “windfall profits” tax to help fund federal hospital relief efforts.  However, when health plans medical expenses MLRs have risen again it is a dead certainty that the denial machinery will crank up again and that the war will resume.   

A managed care” movement” which began more than seventy years ago by empowering clinicians to manage care for populations within a fixed budget has devolved, by degrees, into an increasingly data driven payment system run by computers, that shifts costs to physicians and patients without their input.  The early stages of this devolution spawned successful, high quality integrated health systems and health plans in some  parts of the country.     However, the last decade has left the bulk of care providers drowning in documentation busywork and box checking, and burdened by a growing revenue cycle bureaucracy.  Their incomes are increasing managed by machines, not colleagues.  How this evolution will improve actual care to patients remains to be demonstrated.  

Jeff Goldsmith is a veteran health industry observer based in Charlottesville, Virginia and President of Health Futures Inc

What Peter Drucker Told Me Not to Do


For people starting out in their careers or contemplating a mid-career change, an honest conversation with a mentor can make a big difference. Mentoring seems to have gone out of fashion in a tech-driven world where nearly instantaneous feedback from wide networks of “friends’ seems to have taken the place of confidential conversation with older people. But reflecting on my own career, I can say with certainty that mentors made a huge difference. And I was lucky enough to have three of them, at different stages of my career. I am grateful to them for helping me navigate in a changing world.

Graduate School

As an undergraduate at Reed College in the late 1960’s, I became interested in social science research, specifically how institutions selected out types of people by their personalities and interests. While my academic work focused on classics and psychology, a research project on Reed’s brutal attrition rate (only a little more than a third of people who entered Reed as freshmen graduated in four years) that sought out the selection factors that predicted “success”, at least surviving the four years of a very intense undergraduate experience.

This work brought me in contact with Professor David Riesman at Harvard, whose 1954 book “The Lonely Crowd” made him a leading public intellectual and social critic (and landed him on the cover of Time). “Lonely Crowd” decried the erosion of individualism and the rise of the “other directed” personality in America. This work eerily presaged (by a mere fifty years) today’s obsessive internet-driven hunger for the approval of strangers. Reisman, who was then in his early 60’s, had come to Harvard, and had become a leading sociologist of higher education. I sent him my Reed research to see what he thought, and the correspondence led to a friendship that stretched over the next thirty years.

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Five Out-of-the-Box Ideas For Turning Around Falling US Life Expectancy Rates


The Miniature Coffins via The National Museum of Scotland

After last Thanksgiving, the US Centers for Disease Control reported that US life expectancy declined again in 2017, after falling in 2015. The last time the US experienced a two-year decline in life expectancy was during the early 1960’s, before Medicare and Medicaid, and before much of modern medicine! The last three-year decline was a century ago- a result of the Spanish flu epidemic in the aftermath of World War I. Spread over a population of 327 million, the drop of 0.3 years in American life expectancy since 2014 represents a loss of almost 100 million life years! For a country with a nearly $20 trillion economy and that is spending more than $3.5 trillion annually on healthcare, this is both a disgrace and an international embarrassment.

Health analysts pointed to the epidemic of drug deaths as the principal cause. (And it wasn’t just opiates that did the damage; more than 24 thousand of the more than 70 thousand overdose deaths in 2017 were from methamphetamine and cocaine, problems that many lay observers may believe we put in the rear-view mirror years ago). Suicides claimed 47 thousand Americans in 2017, a 33% increase since the turn of the millennium! So between suicides and drug overdoses, which are really a form of suicide, American lost 117 thousand people in 2017.

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