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What Healthcare Can Learn from Pixar’s Braintrust

Screen Shot 2014-05-02 at 7.55.16 AMI am reading Creativity, Inc. right now by Ed Catmull, the president of Pixar Animation and Disney Animation.

One particular quote by Catmull that has stuck with me personally over the last few days is this:

“At some point, every Pixar movie sucks.”

Which got me thinking – are we in the “suck” part of transforming healthcare right now?

In my opinion, all roads lead to yes.  Still, I don’t want to dwell on the suck part, I want to focus on how one of the world’s most innovative companies, Pixar, transforms their “ugly babies” (mediocre ideas) into something magical (a la Toy Story 2 or my personal favorite, Up) – and how the healthcare industry can learn fromPixar’s “Braintrust” model.

Forget that it’s cliché – celebrate failure

One of the key things that make the Braintrust at Pixar unique is the fact that candor and honesty are truly placed on a pedestal.  More so, failure is celebrated to a certain degree in the culture Catmull outlines.

He writes, “If you aren’t experiencing failure, then you’re making a far worse mistake: You are being driven by the desire to avoid it.”

Which leads me to something failure related that many in the healthcare industry have debated – whether the government did the right thing by incentiving providers to adopt electronic health records (EHRs).  I think many would agree that the answer to that is no.

Instead of touting the percentage of organizations reaching certain stages of meaningful use attestation, would the government’s honest admittance of a certain degree of failure provide a chance to successfully redirect efforts?

I think yes.

Yet, due to the risk adverse nature of the healthcare industry and the engrained fear of failure in all of us, we (not just government) are all too often guilty of pushing forward with similar mediocre ideas merely to see them through when they may have been better served by being put to rest.

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Keas Poll on Workplace Stress and Disease Burden Provides an Education

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Al’s son once complained to Al’s Aunt Tillie about an overbearing supervisor.  Aunt Tillie suggested that he try to work under a different supervisor.  Tillie was one of those people – and we all know them – who could be counted on to inadvertently provide punchlines when needed.  Conversely, Al is one of those people – and we all know them – who can’t resist setting up those punchlines.  So I lamented that this suggestion may not work because, “Aunt Tillie, it’s a sobering fact that 50% of all supervisors are below average.”

Tillie replied, “I blame our educational system for that.”

Likewise, we may need to blame our educational system for Keas’ new poll on workplace stress.  To begin with, the lead paragraph from Keas — which like many other companies is “the market leader” in wellness – “reveals” that “4 in 10 employees experience above-average stress.”

SAN FRANCISCO, CA – (Apr 2, 2014) – Keas (www.keas.com), the market leader in employer health and engagement programs, today released new survey data, revealing four in ten employees experience above average levels of job-related stress. Keas is bringing attention to these findings to kick off Stress Awareness Month, and is also providing additional insight and tips to bring greater awareness to the role of stress in the workplace and its impact on employee health.

Wouldn’t that mean some other employees – mathematically, also 6 in 10 – must be experiencing average or below-average levels of stress?   It would seem like mathematically that would have to be the case.   However, the Keas poll also “reveals” that while some employees are average in stress, no employee is below-average – a true paradox.  Hence Keas’ selfless reasons for publishing this poll:  All employees being either average or above average in the stress department means we have a major stress epidemic on our hands.  This perhaps explains why Keas is “bringing attention to these findings.”

In a further paradox, Keas also uses the words “average” and “normal” as synonyms, even though they are often antonyms:  All of us want our children to be normal but who amongst us wants their children to be average?

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Who Should Pay Doctors?

flying cadeuciiHonest Pay for Honest Work.

Times have changed. And it’s time they change again.

In the past, medical care was more episodic than it is now. People went to see the doctor when they felt unwell. Diabetes affected mostly older patients, who didn’t live long enough with the disease to develop complications.

There were no blockbuster drugs for high cholesterol, Hepatitis C, fibromyalgia or chronic heartburn; we didn’t manage nearly as many patients on multiple medications as we do now.

In those times, a payment scale based on the length and complexity of the visit made sense, and there wasn’t much doctor-patient interaction between visits.

Today, we manage more chronic conditions, use more medications, do more laboratory monitoring, more patient education, and more administrative work on behalf of our patients than before.

Payment scales based only on what we do in the face-to-face visit have become hopelessly antiquated and stand in the way of the new demands of society – physicians providing longitudinal care for chronic conditions in patient-centered medical homes.

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10 Ways Innovation Could Help Cure the U.S. Health Spending Problem

flying cadeuciiThe United States spends more than $2 trillion per year on health care, surpassing all other countries in per capita terms and as a percentage of gross domestic product.

New, expensive medical technologies are a leading driver of ballooning U.S. health care spending. While many new drugs and devices are worthwhile because they substantially extend lives and reduce suffering, many others provide little or no health benefit.

Many studies grapple with how to control spending by considering changing how existing technologies are used. But what if the problem could be attacked at its root by changing which drugs and devices are invented in the first place?

Recently, my colleagues and I explored how medical product innovation could be redirected to reduce spending with little, if any, sacrifice to health and to ensure that any spending increases are justified by sufficient health benefits.

The basic approach is to use “carrots and sticks” to alter financial incentives for drug and device companies, their investors, health care payers and providers, and patients.

The ten policy options below could change which technologies are invented and how they’re used. In turn, this could cut spending or increase the value (health benefits per dollar spent) derived from new products that do increase spending.

We urge policymakers—both public and private—to consider these options soon and to implement those that are most promising. Policymakers should also consider how to reduce spending and get more value from health services that don’t involve drugs or devices.

The longer the delay, the more money will be badly spent.

1. Encourage Creativity in Funding Basic Science

The National Institutes of Health (NIH), the leading funder of basic biomedical research, typically favors low-risk projects. Funded researchers who fail to achieve their goals are much less likely to secure additional NIH funding. Encouraging more creativity and risk-taking could increase major breakthroughs.

2. Reward Inventors with Prizes

Public entities, private health care systems, the philanthropic sector, or public-private partnerships could award prizes to the first to invent drugs or devices that satisfy certain performance criteria, including a potential to decrease spending. Winners could receive a share of future savings that their product brings the Medicare program, which spends more than $500 billion annually.

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Using Technology to Better Inform Consumers about Privacy Decisions

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At the first White House public workshop on Big Data, Latanya Sweeney, a leading privacy researcher at Carnegie Mellon and Harvard who is now the chief technologist for the Federal Trade Commission, was quoted as asking about privacy and big data, “computer science got us into this mess; can computer science get us out of it?”

There is a lot computer science and other technology can do to help consumers in this area. Some examples:

•    The same predictive analytics and machine learning used to understand and manage preferences for products or content and improve user experience can be applied to privacy preferences. This would take some of the burden off individuals to manage their privacy preferences actively and enable providers to adjust disclosures and consent for differing contexts that raise different privacy sensitivities.

Computer science has done a lot to improve user interfaces and user experience by making them context-sensitive, and the same can be done to improve users’ privacy experience.

•    Tagging and tracking privacy metadata would strengthen accountability by making it easier to ensure that use, retention, and sharing of data is consistent with expectations when the data was first provided.

•    Developing features and platforms that enable consumers to see what data is collected about them, employ visualizations to increase interpretability of data, and make data about consumers more available to them in ways that will allow consumers to get more of the benefit of data that they themselves generate would provide much more dynamic and meaningful transparency than static privacy policies that few consumers read and only experts can interpret usefully.

In a recent speech to MIT’s industrial partners, I presented examples of research on privacy-protecting technologies.

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The Gift of Cancer

flying cadeuciiAfter my last post about “the gift of cancer” I must say that CLL has felt much less like a gift this month.

Joining the ranks of those with “a diagnosis” has given me a some insight into what our patients face all the time.

Recently, I received my second dose of humility.  I capped off a truly exhausting week in the hospital with a routine lab follow-up.

The last day of my 85-hour week I had my CBC checked, and my platelets dropped from the 100s to the 30s.

My first reaction was denial.  Lab error.

Unfortunately, they dropped further the next day and I realized that the little red bumps on my legs weren’t some skin reaction, but petechiae.  Bummer.  Turns out that in addition to the 2% of people diagnosed with CLL under age 40, I also joined the 20% who develop idiopathic thrombocytopenic purpura (ITP).

The treatment of choice for ITP is prednisone 1mg/kg.  So after a visit with my oncologist, I started 80mg of prednisone.

I realized with more than a little chagrin that I have a double standard about therapeutics. I was surprised at how much I despise being on prednisone.

I had never taken it before, and I would guess that I prescribe it every week, if not every day, that I work in the hospital. I have always felt that prednisone is fine for my patients to take.

Steroids work to help clear up that asthma flare, quickly improve that gout pain, or even help with a burst of energy in the last days or weeks of life for a terminal patient.

But for me? No thank you.

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Should Medical Schools Teach to the Boards?

flying cadeuciiIn the 2012 National Residency Match Program Survey, which is sent out to residency program directors around the country by the NRMP, the factor that was ranked highest with regards to criteria considered for receiving an interview—higher than honors in clinical clerkships, higher than extracurricular experiences or AOA election, and even higher than evidence of professionalism, interpersonal skills, and humanistic qualities—was the USMLE Step 1 score.

When considering where to rank an interviewed applicant, the Step 1 score took a backseat to some of the aforementioned criteria that are perhaps more telling of what kind of person the interviewee is, although it was still one of the highest considered criteria for ranking applicants as well.

When a single exam is given this level of importance in determining a future physician’s most critical period in career development—their residency—we have to look carefully at our system.

Two points of consideration come to mind. First, is it wise to weigh a test score so heavily? Many students and faculty could easily point out that student performance on exams by no means always reflects their clinical acumen and social skills when seeing patients.

Medicine is, after all, an art far more than a science.

Nonetheless, it would be foolish to assume that scores have no worth—a high score on an exam, particularly a behemoth such as the USMLE Step 1, points out many qualities in an individual: hard work, persistence, discipline, and frankly, an understanding of textbook medicine.

And thus, we are left somewhere in the middle—perhaps we should weigh scores less than we do, but when you have to sort through thousands of applications, the only standardized metric to quickly compare is, in the end, a number somewhere between 192 and 300.

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Traditional Chinese Herbalism at the Cleveland Clinic? What Happened to Science-Based Medicine?

flying cadeuciiI don’t recall if I’ve ever mentioned my connection with the Cleveland Clinic Foundation (CCF). I probably have, but just don’t remember it.

Long-time readers might recall that I did my general surgery training at Case Western Reserve University at University Hospitals of Cleveland. Indeed, I did my PhD there as well in the Department of Physiology and Biophysics.

Up the road less than a mile from UH is the Cleveland Clinic. As it turns out, during my stint in Physiology and Biophysics at CWRU, I happened to do a research rotation in a lab at the CCF, which lasted a few months.

OK, so it’s not much of a connection. It was over 20 years ago and only lasted a few months, but it’s something that gives me an obvious and blatant hook to start out this post, particularly given the number of cardiac patients I delivered to the CCF back in the early 1990s when I moonlighted as a flight physician forMetro LifeFlight.

Obvious and clunky introduction aside (hey, they can’t all be brilliant; so I’ll settle for nauseatingly self-deprecating), several of my readers have been sending me a link to a story that appeared in the Wall Street Journal the other day: A Top Hospital Opens Up to Chinese Herbs as Medicines: Evidence is lacking that herbs are effective.

I also noticed that Steve Novella blogged about it and was tempted to let it pass, given that I had seemingly lost my window, but then I realized that there’s always something I can add to a post, even after the topic’s been blogged by Steve Novella.

Whether that something is of value or not, I leave to the reader. So here we go. Besides, if this article truly indicates a new trend in academic medical centers, it’s—if you’ll excuse the term—quantum leap in the infiltration of quackademic medicine into formerly reputable medical centers.

It’s a depressing thing, and it needs to be publicized.

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Hacking the Hospital: Medical Devices Have Terrible Default Security

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Scott Erven is head of information security for a healthcare provider called Essentia Health, and his Friday presentation at Chicago’s Thotcon, “Just What The Doctor Ordered?” is a terrifying tour through the disastrous state of medical device security.

Wired’s Kim Zetter summarizes Erven’s research, which ranges from the security of implanted insulin pumps and defibrillators to surgical robots and MRIs. Erven and his team discovered that hospitals are full of fundamentally insecure devices, and that these insecurities are not the result of obscure bugs buried deep in their codebase (as was the case with the disastrous Heartbleed vulnerability), but rather these are incredibly stupid, incredibly easy to discover mistakes, such as hardcoded easy default passwords.

For example: Surgical robots have their own internal firewall. If you run a vulnerability scanner against that firewall, it just crashes, and leaves the robot wide open.

The backups for image repositories for X-rays and other scanning equipment have no passwords. Drug-pumps can be reprogrammed over the Internet with ease. Defibrillators can be made to deliver shocks — or to withhold them when needed.

Doctors’ instructions to administer therapies can be intercepted and replayed, adding them to other patients’ records.

You can turn off the blood fridge, crash life-support equipment and reset it to factory defaults. The devices themselves are all available on the whole hospital network, so once you compromise an employee’s laptop with a trojan, you can roam free.

You can change CT scanner parameters and cause them to over-irradiate patients.Continue reading…

Doximity Raises Another $54M to Pursue LinkedIn’s Business Model Too

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Doximity, known as the LinkedIn for doctors and a frequent Health 2.0 participant, raised $54 million in a Series C funding round led by T. Rowe Price and Draper Fisher Jurveston with participation from Morgan Stanley Investment Management.

Doximity claims more than 40% of US physicians as active users, and in January of this year announced that their physician network has grown to more than 250,000 members.

Doctors can use Doximity to collaborate on cases, further their careers, and stay up to date on specialty-specific news, but that’s not where they make their revenue.

“There are a lot of things we can do to make medical networking more efficient,” Doximity CEO Jeff Tangney told Health 2.0 when asked how the funds would be used.

“If you think about it, how would your life be different if you weren’t able to use email in your job? How out of touch would you be? That’s what it’s like to be a US physician. We see a lot of opportunity to improve the connectivity of physicians as a new business area.”

Like LinkedIn, Doximity is a recruiting tool for people looking to hire doctors. Tangney didn’t reveal all the numbers, but he did say that Doximity was cash flow positive in January for the first time. He also said that Doximity has 55 employees, somewhere around 200 hospital clients, and that a subscription to the recruiting product costs $12,000 per seat per year to send 50 messages per month.

With some back of the envelope math, and a guess of a burn of about $10-12 million a year, it figures out to about four subscribed seats per hospital. With about 5,000 hospitals in the US and some other revenue streams to pursue, it looks like Doximity has room to grow at a bare minimum.

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