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Kill the Codes

Oh, that clever Center for Public Integrity.  Look what they’ve gone and done now!  My, oh my.  According to the article, doctors are much of the the problem, billing “billions” of Medicare upcharges according to the center.

But what if the medical coding game itself is flawed?  Stop for a moment and imagine what it would look like if lawyers billed like doctors.  Suddenly, we see how bizarre the world of government billing codes and chart-completion mandates has become.

Not long ago I asked readers what my time is worth on a per-hour basis.  Collectively and independently, they settled on a number of about $500/hr (see the comments).  Now look for a moment at what Medicare pays, even at its highest level of billing for a physician’s time for evlauation and management of a medical problem: for 40 minutes of a physician’s time, it’s $140 (or $210/hr) before taxes.  Again, we see another disconnect as to how doctors are valued in our current system.

Doctors are working long hours to collect these fairly low fees from Medicare while jumping more hoops than ever to do so.  They have become pseudo-experts at the coding game, trying to get as much money for their extra efforts as legally possible.  But these fees paid by Medicare do not cover payments for time spent on phone calls, e-mails, and working insurance denials.   These services are still considered by our system as gratis. To partially counteract this coding problem, doctors realized (and the government insisted) that doctors use electronic medical records.

But when independent doctors set out to implement these records they quickly discovered that the expense and long-term maintenance costs of local office-based EMRs could not compete with more sophisticated systems already in use by their neighboring large health care systems.  Because of ever-increasing cost-of-living and overhead costs, not to mention the threats of large fee cuts, doctors have migrated to large health systems faster than ever.  With the fancier electronic record at those systems (streamlined for billing, collections, and marketing) fields required for higher billing codes (but not always material to the problem at hand) are completed in less time.  So are doctors really the problem?

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Why Do Academic Medical Centers Do Poorly on Quality Report Cards?

In September 2012, the Joint Commission recognized 620 hospitals (about 18% of the total number of accredited American hospitals) as “top performers,” but many were surprised when some of the biggest names in academic medical centers failed to make the cut.  Johns Hopkins, Massachusetts General Hospital, and the Cleveland Clinic (perennial winners in the US News & World Report best hospital competition) did not qualify when the Joint Commission based their ranking not on reputation but on specific actions that “add up to millions of opportunities ‘to provide the right care to the patients at American hospitals.’”

The gap between the perceived reputation of America’s “best” hospitals and medical schools and their performance on an evidence-based medicine report card provides an interesting lens through which to understand the role and performance of America’s academic medical centers in the 21stcentury.

The most pressing challenge for American medicine has been summarized in the triple aim:  how to cut the per-capita cost of healthcare, how to increase the quality and experience of the care for the patient, and how to improve the health and wellness of specific populations.

Can we expect academic medical centers to lead the country in meeting the challenge?  If history is any guide, the answer may be no.  In a 2001 article titled “Improving the Quality of Health Care:  Who Will Lead?” the authors write:

“We see few signs that academic medical leaders are prepared to expend much effect on health care issues outside the realms of biomedical research and medical education.  They exerted little leadership in what may arguably be characterized as the most important health policy debates of the past thirty years:  tobacco control, health care cost containment, and universal access.”

Having been a professor at several medical schools (UCSF, University of Iowa, Allegheny University of the Health Sciences, and Michigan State), I learned early on that the key to academic advancement was NIH funded basic science research.  While lip service was paid to the ideal triple threat professor (great clinician, superb teacher, and peer reviewed published investigator), the results of the tenure process clearly resulted in a culture where funded research counted far more than teaching and clinical care delivery.

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Waste Not

In some ways, the Insititute of Medicine is like the famed “Academy” of Motion Picture Arts & Sciences. Having membership conferred is the ultimate accolade in a field full of brains, competition, money, and ego. A major difference is that the IOM doesn’t give out annual awards for best studies or best theories–the whole institute is comprised of lifetime achievement award winners.

That’s why when the IOM issues a report, it garners a lot of attention.

Their most recent, “Best Care at Lower Cost: The Path to Continuously Learning Health Care in America” attracted the usual spate of headlines:

I’ve looked over the report–it’s been released in ‘pre-publication’ form on their website, and you can read the whole thing. It’s a worth a click over, because even if you can’t slog through 350+ pages, they’ve made several executive summary features (including a top ten list) andgraphics that do a great job of conveying the authors’ findings and recommendations. A few things jumped out at me:

  • $750 billion of our collective annual $2.3 trillion health care outlay does not improve health
  • we still have far too many errors in hospitals
  • too many patients discharged from hospitals are readmitted in less than a month (20%!)
  • which points to the lousy job we do ‘transitioning’ people from hospital to home
  • communication amongst medical personnel is abysmal

The report uses analogies from many industries. There’s the requisite comparison to aviation, since the safety record of commercial airlines is enviable. But there are also comparisons to hotels, manufacturing, general contractors, engineers, and even ‘mission control’ at NASA. [Health care does not compare favorably to NASA. Doctors should, but are not working for a common purpose like getting people to the moon.]

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Why Everybody Should Read “Why Nobody Believes the Numbers”

Back in the early 1900s, Albert Einstein had a problem. Sophisticated instruments were unexpectedly showing that the measured speed of light was the same if the source or the observer were moving or stationary.  In other words, if one were moving away from a bullet, it should look (to the observer) that the bullet had slowed down. Light’s refusal to conform to the prevailing common sense about how the universe should work ultimately forced Einstein in 1905 to conclude that, in order for the speed of light to be constant, time and mass had to be elastic. This ushered in a new field of relativity mathematics that is still being used to plumb the known universe’s Music of the Spheres.

While the controversies surrounding the effectiveness of “population health management” (PHM) are quite minor compared to Einstein’s Theory of Relativity, the comparison is still instructive. The similar mismatch between what is assumed, what is observed and how to mathematically describe the ultimate truth also underlies Al Lewis’ book, Why Nobody Believes the Numbers.  In other words, we assume care management-based patient coaching always yields savings, increasingly sophisticated observations often fail to show it and, as a result, we need new mathematics to reconcile what we assume and what we observe.

Interestingly, author Al Lewis of the Disease Management Purchasing Consortium never doubts the speed of light or that high quality PHM ultimately can save money. While PHM vendors may interpret his long history of skepticism as some sort of shakedown, Al’s passion is clearly evident: Why Nobody Believes the Numbers is ultimately driven by a search for the truth. For that he deserves a lot of credit.

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Care On the Continuum

My change from a traditional practice to direct-care has caused me to challenge some of the basic assumptions of the care I’ve given up to this point.  Certainly, the nature of my documentation will radically change with my freedom from the tyranny of E/M coding requirements.

Perhaps the biggest change in my care comes courtesy of the way I get paid.  The traditional way to be paid is for service rendered (either at an office visit or procedures done).  This means that I am financially motivated to give the bulk of my attention to people when they are in the office.  They are paying for my attention, so I try to give them their money’s worth.  The corollary of this is that I tend to not think about people who are not in the office to be seen.  The end-result is an episodic approach to care that is entirely dependent on the patient paying for an encounter.

There is a huge problem with this approach to care: people live their lives between encounters.  Life does not go on hold between office visits for my patients, and the impact of my care is not dependent on what happens in the encounter, but what happens between visits.  My ability to help my patients depends on my ability to affect the continuum.  If I do a good enough sales pitch for a person taking their medications, and if I consider the life-circumstance which may affect their ability to take the medicine, then I am successful.  I don’t learn about the success until their next visit (usually), and I also don’t learn about problems until then.  People are reluctant to call with problems they are having with medications, new symptoms, or other important details, often waiting for many months to tell me things I really want to know.  Perhaps they don’t want to be “one of those patients who calls all the time,” perhaps they don’t understand what I said, or maybe they’re worried I will “force them to come in” to pay for another office visit.  Regardless of the reason, I get very limited interaction with my patients in this episodic care model.

My new practice model allows for, and even encourages interaction between face-to-face encounters.  I intend on spending a significant part of my day systematically reviewing records to make sure they are up-to-date, and initiating contact if need be.  I will also give them resources to be able to manage their care (or their wellness) without having to pay for each encounter.  One reader (of another blog to be left unnamed) suggested that under this system he would get his “money’s worth” by using my service as much as possible.  For him that meant coming to see me often, but in the model of care on the continuum it would involve going to the web site and updating records, sending me questions, or watching videos I’ve made on a particular subject.  My hope is that all my patients would “get their money’s worth” between visits, and that perhaps this will reduce the need for actual face-to-face encounters.  In fact, that is the whole point of what I am doing.Continue reading…

The Trillion Dollar Conundrum

In Tuesday’s Wall Street Journal Op-Ed pages, physicians from Harvard and University Pennsylvania Medical Schools criticize subsidies for expanding the use of health information technology (HIT). The physicians cite a recent review article that failed to find consistent evidence of cost savings associated with HIT adoption. If true, this is bad news for the health economy, as supporters claim that HIT could cut health spending by as much as $1 trillion over the next decade.

How can something that is so avidly supported by most health policy analysts have such a poor track record in practice? In a new NBER working paper by myself, Avi Goldfarb, Chris Forman, and Shane Greenstein, we label this the “Trillion Dollar Conundrum.” One explanation may be that most HIT studies examine basic technologies such as clinical data repositories, while most of the buzz about HIT focuses on advanced technologies such as Computerized Physician Order Entry. In our paper, we offer a rather different explanation for the conundrum, one that would have eluded physicians and other health services researchers who failed to consider the management side of HIT.

My coauthors on this paper are experts on business information technology. They are not health services researchers. When I approached them to work on this topic, they insisted on viewing HIT much as one would view any business process innovation. As I have learned, this is by far the best way to study most any issue in healthcare management. Those who advocate that “healthcare is unique” – usually by ignoring broadly applicable theories and methodologies—often strain to explain data that are easily understood using more general frameworks. Such is the case with HIT.

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The Wrong Battles

This week the American Academy of Family Physicians (AAFP) issued a new report describing its vision of primary care’s future. Not surprisingly, the report talks about medical homes, with patient-centered, team-based care.

More surprisingly, though, it makes a point to insist that physicians, not nurse practitioners, should lead primary care practices. The important questions are whether nurse practitioners are qualified to independently practice primary care, and whether they can compensate for the primary care physician shortage. On both counts the AAFP thinks the answer is “no.”

AAFP marshals an important argument to bolster its position. Family physicians have four times as much education and training, accumulating an average of 21,700 hours, while nurse practitioners receive 5,350 hours.

It is unclear how this plays out in the real world but, intuitively, we all want physicians in a pinch. Researchers with the Cochrane Database of Systematic Reviews reviewed studies in 2004 and 2009 comparing the relative efficacy of primary care physicians and nurse practitioners. They wrote “appropriately trained nurses can produce as high quality care as primary care doctors and achieve as good health outcomes for patients.” But they also acknowledged that the research was limited.

There is no question that nurse practitioners can provide excellent routine care. For identifying and managing complexity, though, physicians’ far deeper training is a big advantage. In other words, difficult, expensive cases are likely to fare better from a physician’s care.

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Health Insurance Exchanges Work

The Salt Lake Tribune Editorial Board recently used strong words to criticize the Utah Health Exchange. Its perspective ran afoul of our firm’s recent experience with the Utah exchange, which has been overwhelmingly positive.

Like many small businesses, the triggering event for our involvement in the Utah Health Exchange was the appearance of our insurance broker who laid out a spreadsheet presenting a 22 percent increase in next year’s premium costs. Disappointed, we asked our broker to review other options.

The conventional market yielded quotes ranging from a 22 percent to a 134 percent increase. Ask any small business and you will learn that these increases come right out of employee compensation and, in many cases, new hires. Containing these costs, particularly in small businesses with small risk pools, has eluded the best minds in health care policy for decades.

We asked our broker to explore the Utah Health Exchange with vigor. We considered it last year, but the deadlines proved to be an obstacle for us. Our experience this year was remarkable and is instructive for states that object to state-created health insurance exchanges on the flimsy basis of their association with federal health reform.

The Utah Health Exchange started in August 2009 with the primary target of helping small businesses obtain health insurance for their employees. It was named an exchange before the fury over Obamacare tainted the concept.

The word “exchange” connotes the market freedom that is associated with activities like the New York Stock Exchange. The Utah Health Exchange is organized by state government, but driven by the market. What we found was a transparent system that created options for every individual employed by us and exemplified market principles, states’ rights and federalism.

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Folly To Forecast Startup Performance?

Several days ago, Paul Graham, co-founder of noted Silicon Valley accelerator Y-Combinator (YC), wrote an exceptional post, “Black Swan Farming,” observing how crazy difficult it is to predict success in the startup space, and noting that just two companies – Airbnb and Dropbox – account for about 75% of the total value created by all YC-associated companies.

Yesterday, Dave McClure (the white-hot seed-stage Silicon Valley investor, familiar to readers of this column – see this discussion of his small bets style in connection with digital health) responded in a post titled (what else?) “Screw the Black Swans” that his investment model (at 500 Startups) is slightly different.

While most VCs are looking for the big score, McClure said, he’s deliberately seeking singles and doubles, which he basically expects will result in a similar expected value for his portfolio but reduce the chances of getting shut-out.  He anticipates and is hoping for a greater number of successes (albeit more modest ones) than achieved by other VCs.

This will be a familiar dialog not only to investors but also to those in biopharma (who perhaps should be thought of as investors as well), as they continuously need to decide whether to go for a risky potential blockbuster or more of a sure-thing that ostensibly may be associated with a smaller market.

I’ve been fascinated with this exact question for a while (see here and here), and I’ve always looked at the problem a bit differently than McClure – which, if I’m right, may actually be good news for him.

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Asking the Wrong Questions About the Electronic Health Record

The wrong question always produces an irrelevant answer, no matter how well-crafted that answer might be.  Unfortunately the debate on health information technology seems to be increasingly focused on the wrong question.  An Op-Ed in the Wall Street Journal argues that we have had a “Major Glitch” in the use of electronic health records (EHRs).  This follows on a series of recent studies that have asked the question “do EHRs save money?” Or “do EHRs improve quality?” with mixed results.

While the detractors point to the systematic review from McMaster, boosters point to the comprehensive review published in Health Affairs that found that 92% of Health IT studies showed some clinical or financial benefit. The debate, and the lack of a clear answer, have led some to argue that the federal investment of nearly $30 billion for health IT isn’t worth it.  The problem is that the WSJ piece, and the studies it points to, are asking the wrong question.  The right question is:  How do we ensure that EHRs help improve quality and reduce healthcare costs?

The fundamental issue is that our healthcare system is broken – our costs are too high and the quality is variable and often inadequate.  Paper-based records are part of the problem, creating a system where prescriptions are illegible, the system offers no guidance or feedback to clinicians, and there is little ability to avoid duplication of tests because the results from prior tests are never available.  Even more importantly, the paper-based world hampers improvement because it makes it hard to create a learning environment.  I have met lots of skeptics of today’s health information technology systems but I have not yet met many physicians who say they prefer practicing using paper-based records.

The problem is that some Health IT boosters over-hyped EHRs.  They argued that simply installing EHRs will transform healthcare, improve quality, save money, solve the national debt crisis, and bring about world peace.  We are shocked to discover it hasn’t happened – and it won’t in the current healthcare system.

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