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Tag: FutureMed

In Praise of Lisa Bonchek Adams, Breast Cancer Expert


The two columns by Bill and Emma Keller about Lisa Bonchek Adams unleashed fury this week from supporters who questioned the manner in which Adams, who has metastatic breast cancer, “lives her disease” through her blog and Twitter feed.

Amid reams of articles, blogs, tweets and Facebook posts, patient advocate and breast cancer survivor posted Liza Bernstein grabbed our attention for posting a brilliant yet simple observation. Responding to an article in Gigaom, Bernstein noted that Bill Keller wrote this of Adams:

“Her digital presence is no doubt a comfort to many of her followers. On the other hand, as cancer experts I consulted pointed out…”

And Keller went on to describe what those experts thought.

Bernstein and other e-patients know well that Lisa Adams is an expert. In her response, Bernstein said that while Adams “is not a doctor or a researcher, [she] is a highly engaged, empowered, and educated patient who, as far as I know, has never shared her story lightly.”

Perhaps unintentionally, Keller’s supposition that Adams is a “comfort” to other patients compared with the analysis he provides from “cancer experts” marginalizes what people like Adams bring to others affected by cancer.

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In Search of a Really Usable PHR

When it comes to the health care of a frail older person, families really need a good personal health record (PHR) system. So I am once again preparing to take a look at what’s available, in hopes of finding something that I can more confidently recommend to the families I work with. (To see what medical info I urge families to track, see this Geriatrics for Caregivers post.)

I have — yet again — met a family with reams of paper health records. On one hand, they’ve done very well: at our first visit they were able to show me labs, MRI results, and even some specialty consultations from last summer. They even had a hospital discharge summary, although unfortunately not the one from the most recent hospitalization.

And they’d taken steps to digitally organize, having scanned several key items, as well as created an online space providing shared access to their parent’s information.

So this is better than the situation I often encounter, which is that an elderly person has seen multiple outpatient doctors, has been hospitalized in a few different facilities, and no one has a copy of anything handy. (See why new elderly patients are a killer in primary care? If there is no data you fly blind, if there IS data it can take hours to review it.)

Still, there are clearly many ways a little well-designed technology could improve things for this family – and for the doctors trying to help them.

Here are the problems we have right now:

  • Hard to search the whole pile, whether on paper or via the family’s online repository of  PDFs. These were not OCRed and searchable until I manually converted them with my own PDF editor,  after which I had to upload them to the patient’s chart in my EMR. Now each file is text searchable (for me), but the pile still is not.
  • Cannot trend the labs. Figuring out what has happened to this patient’s key lab values over the past year has been very labor-intensive. This remains a problem once the lab data is uploaded to my EMR, because it’s still in PDFs which have to be looked at one at a time. Being the nerdy doc that I am, I’ve spent a fair bit of time creating a note that summarizes the key lab data over time. Ugh. Better than nothing but a far cry from being able to graph and trend the patient’s labs as needed.
  • Takes ongoing time and effort to get records from the hospitals and other involved doctors. Kudos to this family for being diligent and persistent in asking for copies of everything they can. But wow, it’s a lot of effort for them, and I can tell you that in my practice so far, I’ve generally had to expend a fair amount of energy repeatedly asking for information from other providers. (And then I’ve had to try to organize all this info which comes in as scanned images via fax. Oy!)

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One Libertarian’s Dilemma: Genetic Testing or the FDA

An advantage astrologers have over genetic testing is that the prediction of astrologers are personally verifiable. An astrologer once emphatically stated that I had no chance of a career in international cricket or Bollywood. So far both claims have turned out to be remarkably accurate.

How does one personally verify a “12.5 %” increased chance of lung cancer, the sort of number the vendor for genetic testing 23andMe produces? If one develops lung cancer how would one know that the chances were indeed 12.5 %, not 6.25 % or 25 %?

We die only once. Whether one ends up with lung cancer or doesn’t, the veracity of the claim can be made only empirically. Meaning we need to see how many develop lung cancer out of 10, 000 people just like us.

Yet there is an element of scientific precision in the number, augmented by the decimal point. And it is precisely because genetic testing tends towards science not metaphysics that it falls within the dominion of the Food and Drug Administration (FDA). FDA does not regulate palm readers.

FDA has asked 23andMe to stop sales of its genomic testing.

As a libertarian seeped in the Austrian school of Economics, I am generally disposed against regulations. I also share the sentiments of the monetarist Milton Friedman that the true costs of the FDA must also include the treatment opportunities foregone in their lengthy review process.

So it hurts me to be somewhat sympathetic of FDA’s stance on 23andMe, even as I think an outright ban was a tad harsh.

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The New Tools: What 21st Century Education Can Teach Us

The educational world is becoming flat.

A quiet revolution is underway in the way teachers and students interact using recorded lectures, YouTube, and the internet. In 2004, financial analyst turned online educator Sal Khan began tutoring his niece in math using an online drawing program. As he uploaded these lectures to YouTube, their popularity grew into a social phenomenon.

Today, Khan Academy has provided over 240 million online lessons around the world in over 4000 topics. Stanford, MIT, and other universities now offer massive open online courses (MOOCs) by top professors to all comers. In fact, Harvard Business School no longer offers an introductory accounting class due to the availability of an exceptional online course from Brigham Young University. With high-quality content readily available online, the student-teacher dynamic is changing. Students are expecting excellent instruction and teachers are expecting students to be increasingly knowledgeable about subjects from online viewing. These reciprocal heightened expectations have the potential to create a more dynamic and interactive classroom experience.

These innovations can also transform patient education by bringing patients into the circle of learning. Patients already leverage YouTube and other online sources for health purposes. For example, PatientsLikeMe was started in 2004 by the family and friends of Stephen Heywood who had been diagnosed with amyotrophic lateral sclerosis. This online community helps connect patients with other similarly affected patients and aims to educate patients about the illness experience and potential treatment options. This encourages patients to think synergistically about complex problems such as outcomes, decision-making and ethics. Today, PatientsLikeMe covers more than 1200 health conditions with over 100,000 members.

Given these broad ranging developments, we need to rethink the patient–doctor encounter. The typical encounter follows the traditional pedagogic paradigm of “banking” – in which the teacher, who has the power and the knowledge, seeks to deposit knowledge assets into the learner’s bank (1). Unfortunately, though this approach induces passivity and disempowerment it is the dominant mode of patient education. Instead, imagine encounters where patients are prepared to engage in shared decision-making, allowing the office visit to center on activities that promote patient-centeredness and engagement such as confirming patient comprehension, ascertaining values, and establishing goals.

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UCSF’s Wikipedia Experiment: Should Med Students Get Credit For Curating Medical Information Online?

You’re a loyal THCB reader. You have a symptom. You Google it. One of the first three hits will be an entry about the symptom or an associated condition on Wikipedia.

As an informed lay person, you wonder, “How accurate is Wikipedia for medical information?”

You’ve always been a little skeptical of Wikipedia, but over the years you’ve found it more and more reliable for celebrity tidbits (e.g. “How old is Jane Lynch?” or “What was the name of that guy in “Crash?”) and sports trivia (“How many Super Bowls have the Minnesota Vikings lost?”).

In fact, it’s become quite useful for understanding geopolitics, ancient and recent history, and helping explain science topics (Higgs Boson, anyone?).

So why not medicine?

We in academic medicine look down our noses at Wikipedia. “Show us original texts,” we harrumph. “Where does the original data come from?” we ask our residents and students.

Just like high schoolers and college kids are warned NOT to use Wikipedia as a research tool, medical professors hold the site lowly in regard to seriousness of purpose.

Well, it’s time to accept reality.

We all use it, whether we admit it or not. Some of us a lot. The good news is, Wikipedia’s going to get even better in the medical realm.

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Through Google Glass, Maybe

Everybody is hopping on the wearables bandwagon. Since the publication of my HBR article on wearables, I’ve been asked a number of follow-up questions from executives, tech analysts, and most especially from entrepreneurs.
Though the questions vary, they generally fall into three buckets.

“Aren’t Head-up Displays (HUDs) like Google Glass where the market is going?”

No. Not necessarily. Pricey (and for now, socially awkward-looking) HUDs will likely be a sliver of the nearly half-billion units that will ship by 2018. By comparison, most other types of wearables will be relatively cheap, and as socially unobtrusive as a ring or wristband.

No doubt, there will be well-defined segments of HUD wearers. For instance, emergency first responders and many disabled people will immediately benefit from additional contextual information the tools display that enhance safety and the ability to navigate tricky situations. The more you consider real data and use-cases, the more you see wearables’ potential to support humanistic aspirations.

However, as I suggest in my HBR piece, we should vigorously question the ethics and effectiveness of any “asymmetrical” uses of HUDs. The presumption that a Google Glass wearer has a right to ascertain information from others who haven’t opted in isn’t necessarily socially acceptable. (HBR editor Scott Berinato calls Glass wearers who point their devices at others who haven’t opted in “glassholes”). It may not even be legal. In the work place, any use absolutely must be accompanied by clearly stated benefits to the employee (not just the employer) and ensure her data privacy. Otherwise, it’s Orwellian.

Aren’t wearables basically just a hands-free PC or smartphone?

Some wearables are indeed the next stage in the evolution from PCs to smartphones to tablets. Samsung’s watch, for example, tethers to its phone and lets you take and receive calls and texts. But many others tools and applications, such as the one I describe below, are discontinuous. They support radically new ways to improve work and society. The opportunity in the discontinuous space is probably bigger, and certainly some of the killer apps for wearables haven’t even been conjured yet. Something will take us by surprise.

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What Kind of Ancestor Will You Be?

Is excellent good enough?

As physicians, we are trained to diagnose and treat disease. We dedicate ourselves to searching for cures and perfecting procedures that will restore the health of our patients. Over the last 50 years, we’ve made some remarkable progress. We’ve reduced the death rate from heart disease by 32.5% with a better understanding of primary and secondary prevention and advances in treatment. We’ve made similar progress in cancer care with better treatment options through radiation, surgery, chemotherapy, and genomics. We’ve changed an HIV diagnosis from a hopeless death sentence with limited treatment options to a manageable, chronic condition.

These truly excellent accomplishments in medicine have been life-changing for millions of people. But is excellent good enough?

While we have made great strides in clinical care, the American dream is faltering. Americans are more obese, more medicated and more in debt than at any other time in the history of our nation. One-third of our nation’s total health-care spending, about $750 billion per year, is wasted on unnecessary treatments, redundant tests, and uncoordinated care [1]. Health Care Reform will have limited impact on this waste. While the rate of increase of health care spending has slowed in recent years, the United States still spends 2.5 times more than most developed nations on health care [2]. U.S. health care spending is on track to reach $4.8 trillion in 2021, almost 20% of our gross domestic product [3].

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A Modest Proposal: Replace the Med School Interview With fMRI

A fashion faux pas almost prevented me from getting into my dream medical school. Midway through the interview there, the interviewer pointed to my left earlobe and said, “Do you really think we accept men who wear … those things?”

I had no idea what he was talking about at first, but then remembered the gold post I’d forgotten to remove. In a disdainful southern drawl the interviewer let me know how dark a shadow this stylistic error cast on my otherwise favorable application.

I left his office fairly sure I would not be admitted. I also doubted whether I wanted to be admitted to a school that selected physicians on the basis of their jewelry. Really?

Twenty years later, medical schools around the country still struggle to find the right way to decide who should be the physicians of the future, and who should not. Most have evolved past caring about male earrings, but what are the right criteria for admission – what makes a good proto-doctor?

Over forty thousand students apply to medical school each year. Each applicant spends thousand of dollars in fees and plane tickets, and institutions spend still more to screen, host, interview and pick among the hordes of black-suited applicants. Increasingly, medical schools are considering innovative and creative ways to distinguish the most promising applicants from the rest.

New approaches include:

1. Using a more holistic review rubric that de-emphasizes grades and MCAT scores, such as at Boston University;

2.  Suspending traditional pre-med requirements for humanities students, such as at the Icahn School of Medicine at Mt Sinai; and,

3. Creative admissions interviews that include problem solving, multiple mini-interviews and even observed standardized patient interactions.

Each of these innovative methods sounds great. Used in combination I suspect they will identify applicants with the necessary academic chops plus a great bedside manner.

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Why a New Healthcare Technology Designed to Cut Costs and Increase Efficiency Probably Won’t Put Anesthesiologists Out of Work

The Wall Street Journal recently contacted me regarding an upcoming article on Sedasys, the new gadget that is supposed to be able to infuse propofol by computer while monitoring vital signs.

If you’ve read anything I’ve written previously, you’ll know that I am NOT a big proponent of technology as a means of “improving” patient care. To me, the more technology you put between the patient and the caregiver, the less medicine you’re practicing, and the more data-entry and computer programming you’re doing.

Sedasys is designed specifically to administer propofol.  Propofol is a milk-like substance that produces a range of effects from sedation to general anesthesia.  For sedation you just use less,  for general anesthesia you use more.  Its very quick onset and very quick recovery make it great for outpatient sedation.  It has to be given in a continuous drip because its effect goes away so fast.  GI docs love it because its so effective.  I suspect they also love it because propofol comes with an anesthesiologist to give it.

The only problem is the one Michael Jackson encountered: it has this pesky side effect of causing you to stop breathing.  And you can’t tell by looking at a person how much will sedate them and how much will make them stop breathing.

A little old lady with a million health problems might sedate at, say, 40 mg and stop breathing at 60 mg, while an 19-year-old could probably take 150 mg and still be fighting you.  It’s not necessarily weight-based.

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Guidelines vs. Personalized Medicine: the Battle for the Future of Healthcare

As we grapple with provider shortages, the surge in chronic illness and the quality to price (QPR as they say in the wine business) challenge in US healthcare delivery, it’s hard to imagine a future that does not include some sort of guideline or algorithm-driven care.  As providers take on more financial risk, one common strategy involves team-based care, and the attendant increase in decision-making and care delivery by non-physician clinicians.  If the je ne sais quoi feature of a quintessentially great doctor is clinical judgment and instinct, one of the challenges of this transition to team-based care is how to harness that trait and use it efficiently.

Care decisions that are unassailable at a population level (e.g., women should have regular, routine PAP smears or smoking is bad for your health) or are algorithmic in nature (e.g., titration of treatment for uncomplicated hypertension or therapy for mild to moderate teenage acne) can all be effectively reduced to guidelines.  This, in turn, allows a physician to delegate certain therapeutic decisions to non-physician providers while maintaining a high degree of care quality.  It is also thought that this type of uniformity of care delivery will improve the QPR too, by decreasing variability.

How do we come up with guidelines?  Typically they are based on large-scale, randomized, controlled clinical studies.  As is nicely articulated in a recent JAMA opinion piece by Drs. Jeffrey Goldberg and Alfred Buxton (JAMA, June 26, 2013—Vol 309, No. 24, pg 2559), guidelines are formulated based on the inclusion criteria for these trials.  This process gives us comfort that guidelines are based on rigorous science — and that is a good thing.  The challenge arises when we realize that individuals do not reflect populations exactly.  Clinical research is much more complex than wet lab work because people are complex and indeed unique.  Every clinician has had the experience of prescribing a therapy to a patient who fit guideline criteria exactly and having the opposite outcome of what the guideline predicts.

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