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Massively Open Online Medicine

The new darling of the online educational community is Massively Open Online Courses (MOOCs). The example which figures most prominently in the popular imagination is the Khan Academy, though its founder says otherwise, noting that MOOCs are merely online transplantations of traditional courses, while Khan Academy offers something different.

Others would take issue with his conclusion, or characterization. A “connectivist” MOOCis based on four principles:

  • Aggregation. The whole point of a connectivist MOOC is to provide a starting point for a massive amount of content to be produced in different places online, which is later aggregated as a newsletter or a web page accessible to participants on a regular basis. This is in contrast to traditional courses, where the content is prepared ahead of time.
  • Remixing, that is, associating materials created within the course with each other and with materials elsewhere.
  • Re-purposing of aggregated and remixed materials to suit the goals of each participant.
  • Feeding forward, sharing of re-purposed ideas and content with other participants and the rest of the world.

Sounds great, but is it working? Can it work? A piece in the current issue of The Washington Monthly took a look and concluded:

Given the current 90 percent dropout rate in most MOOCs, an 8-point gap in completion rates between traditional and online courses offered by community colleges, the 6.5 percent graduation rate even at the respected Western Governors University, and the ambiguity of many other higher education reform ideas, there’s good reason to think that an unbound future might not be so great.

The best American innovations in education were the Land-Grant College Act of 1862, which helped create a system of public universities, and the GI Bill of 1944, which ensured that an entire generation had the money to attend college. This widespread access to the college experience enabled people from working-class backgrounds to advance en masse into professional jobs that required reasoning and logic and extensive knowledge of the world. The question is whether or not we will continue this trend or simply give up and say that a few online classes and specialized training are good enough for the majority of Americans.

In other words: Democratization of higher education – good; MOOCs – not so much.

Why is this relevant to you, gentle reader?

The question is whether the promise of MOOCs, or their inability to deliver, will characterize MOOM — Eric Topol’s neologism, “Massively Open Online Medicine,” used in his HIMSS 2013 keynote.

In health care, a perfect implementation of big data and data analytics, combined with open access for clinicians and patients, would yield a success in MOOM along the lines of a connectivist MOOC.

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Testing Wisely

I remember going to see the movie “Oliver” in the theater when I was a kid.  Since this was my first movie in a theater, my mom made me a treat: a bag full of raisins and chocolate chips (Raisinets for Dutch people) and sent me there with my sister.  It was a fine film, with Oliver getting kicked out of the orphanage when he wanted more gruel, the dastardly Bill Sykes threatening Oliver and sweet Nancy, the funny and clever artful dodger and Fagan teaching Oliver about life on the street, and with (spoiler alert!) good overcoming evil in the end Oliver getting adopted by a rich dude so he can get all the gruel (or real Raisinets) that he wanted.  And though my memories of the movie are still vivid, my strongest memory was the look on my sister’s face when I walked out of the theater covered with melted chocolate chip goo.  It went into family lore (and wouldn’t have happened if they had sprung for Rasinets, I might add).  I think they still don’t trust me with chocolate chips.

The key line in the film comes when Oliver loses a bet and goes up to the gruel-master and says: “Please Sir, I want some more.”  Which, as I am sure Oliver expected, causes the gruel-master to break into the song, “Oliver! Oliver! Never before has a boy wanted more!” and the whole dining hall to pull out musical instruments and singing harmony to the gruel-master’s admonition.

I can see why Oliver was scared.  A whipping is welcome compared to his whole world breaking into song and dance.

Asking for “more” has caused trouble over the ages.  Adam and Eve wanted more food choices, the people of Pompeii wanted more mountain-side housing, Napoleon and Adolph Hitler wanted to spend more time in Russia, and America wanted more of the Kardashians. We can all see what destruction those desires reaped.

Americans have been viewing health care the same way, always wanting more: more antibiotics, more technology, more robots doing more surgery, more expensive treatments for more diseases.  The result: health care costs more in America than anywhere else.  Some folks think that our “more” approach makes our health care “the best in the world,” after all, where else can you get so many tests just by asking.  MRI’s for back pain, x-rays for coughs, blood tests for anyone who dons the door of the ER.  ”Tests for everyone!” shouts the bartender. “Tests are on the house! ”

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I Was Told There Would Be No Math

Someone has been listening to me.  Or rather, to me and a growing number of voices that are questioning the requirements for admission to medical school.  I have argued in a past blog that you won’t get more good primary care doctors, who practice a lot of humanities in addition to the science, if the only people you admit to medical school are scientists.  Two medical schools and the American Association of Medical Colleges are beginning to agree.

Pauline Chen gives a good overview of what’s happening in this area here.  Essentially, Boston University and the medical school at Mt. Sinai have made pretty radical efforts to apply either more than the traditional evaluation points to their admissions process, or different ones altogether.  Mt. Sinai, in particular, has an extraordinary an early-acceptance program for college sophomores and juniors in which they can get into medical school without the MCATs, and without a few of the standard pre-med science and math requirements. In return, the accepted students have to continue to major in an humanities-related field and maintain an adequate GPA.  They also have to undergo intensive science enrichment courses prior to matriculation.  BU hasn’t gone quite that far, but they have included many more “holistic” data points into their admissions decisions, a process that is extremely labor intensive for the schools’ admissions staff.

Both schools have great ideas that are showing some promising results.  I see a couple potential problems:

1. Mt. Sinai seems to be sort of cramming in all the old science requirements in off-hours, allowing students to pursue wider studies in college. I would rather see a larger decrease in the science and math requirements.  Basic chemistry and biology are probably necessary, but no one has ever explained to me why you need physics.  Or calculus.  You don’t need most of this stuff in medical school.  All you need in medical school is the ability to put your head down and push through the memorization.  You don’t need math, you just need patience.  The thing is, the only way to get rid of the math and science is to get rid of the MCAT, because believe you me you can’t get through that behemoth with an english major.  Then, even if you do that, you eventually run into Step 1, the first of the three-part exam you take in medical school to pass medical school.  The Mt Sinai kids might need more “enrichment” courses to get through that.  If those hoops are eliminated, you might find some great doctors underneath those mountainous requirements.

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USPSTF Backs Routine HIV Testing

The U.S. Preventive Services Task Force formally published its recommendation for routine HIV testing for all individuals age 15 to 65 in the Annals of Internal Medicine this week. An editorial and patient materials are all available free to anyone with an Internet connection.  Many people who work in HIV hoped that this would finally move HIV into mainstream medicine.

With a U.S. Preventive Services Task Force Recommendation, patients don’t need to ask for the test, it would become a routine blood test like many others, stigma would be reduced, and insurance would likely cover it. The evidence backs it. However,  within 24 hours of the Task Force Recommendation going up online, the American Academy of Family Physicians questioned age 15 as the logical starting point, instead urging that testing begin at age 18. This is just some of the resistance that the medical community is putting forward now.

Several months ago, I spoke with Roger Chou, MD, MPH, associate professor of internal medicine at Oregon Health and Science University, Portland, Oregon, who headed the evidence review for the U.S. Preventive Services Task Force. “About 25% of people who have HIV and are not aware of it,” Chou said. “They have no identifiable risk factors.”

Other reasons why data to back routine HIV testing are in, include that the screening test is highly accurate, we have direct evidence from randomized controlled trials that we can reduce the risk of transmission by 90%, and that you can’t trust what your patient says, , or that patients don’t always think that they are at risk,” said Chou.

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Medicine in Denial

“Any system of care that depends on the personal knowledge and analytic capabilities of physicians cannot be trusted.”

Finally, I’ve come across a really spot-on analysis of what ails healthcare, and some proposals that have serious potential to improve healthcare for people like my patients. Come to think of it, implementing these proposals would surely improve care for all patients.

The analysis, and the proposed fixes, are detailed by Dr. Lawrence Weed and his son Lincoln Weed, in their book “Medicine in Denial.” (The quote above is from this book.)

The book is a little long, but for those who are interested in leveraging technology to make healthcare more consistent and more patient-centered, I’d say it’s a must-read and must-discuss. (I’m a bit surprised that this book doesn’t seem to have many reviews, and that Dr. Weed’s ideas are not more often cited by those advocating for digital health and patient empowerment.) In particular, the Weeds’ book provides:

  1. An excellent description and analysis of two huge fundamental problems in healthcare. One is the way we persist in relying on fallible physician minds to manage the process of evaluating, diagnosing, and managing medical problems. The other is our lack of standards for consistently documenting and organizing information related to our evaluation and management of patients. Both lead to idiosyncratic, disorganized healthcare that generally serves patients poorly, especially those who are medically complex or have multiple chronic conditions.
  2. A proposed method of using computers and technology to consistently connect patient data to medical knowledge, leading to better diagnosis and medical management.
  3. Continue reading…

Peacefully Coexisting With the Valley of Death

Recently, there has been an uptick in newsflow around the “series A crunch”/ “the valley of death” in regards to financing. Because of who we are (a firm that connects investors with private equity investments); we at Poliwogg see a lot of the “crunched” and “valley-dwellers.” We have some good news. The good news is that we are seeing increased interest on the part of accredited investors who have not invested in private companies before and who are now more open to the idea in light of lackluster returns in other asset classes. Aggregating this group of investors allows for investments in the range that are too large for a traditional “friends and family” round but are too small for traditional institutional investors where the crunch is most pronounced. The caveat is that companies need to be ready to meet the demands of this new crop of investors. Probably, what will be required will be more stringent than what companies have been asked for in the past. On the plus side in exchange for more requirements, these investors are often more patient and more passionate (especially in the disease categories) than traditional investors.

A few observations about what we are seeing (we view mostly healthcare companies):

• Asset prices seem fairer than they have been in a while especially when compared to the prices of similar assets in the public market; spurring investor interest.

• There do seem to be a large number of companies that raised seed rounds (sometimes in substantial sizes) from friends and family. That said given the lack of arms-length transactions the supporting documentation ( e.g. possessing an accountant and law firm, audited financials) often seems a bit lacking in our view and can make a more institutional looking round challenging if not impossible. More disclosure is always better.

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Transforming Diagnosis

In a few weeks, the American Psychiatric Association will release its new edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). This volume will tweak several current diagnostic categories, from autism spectrum disorders to mood disorders. While many of these changes have been contentious, the final product involves mostly modest alterations of the previous edition, based on new insights emerging from research since 1990 when DSM-IV was published. Sometimes this research recommended new categories (e.g., mood dysregulation disorder) or that previous categories could be dropped (e.g., Asperger’s syndrome).1

The goal of this new manual, as with all previous editions, is to provide a common language for describing psychopathology. While DSM has been described as a “Bible” for the field, it is, at best, a dictionary, creating a set of labels and defining each. The strength of each of the editions of DSM has been “reliability” – each edition has ensured that clinicians use the same terms in the same ways. The weakness is its lack of validity. Unlike our definitions of ischemic heart disease, lymphoma, or AIDS, the DSM diagnoses are based on a consensus about clusters of clinical symptoms, not any objective laboratory measure. In the rest of medicine, this would be equivalent to creating diagnostic systems based on the nature of chest pain or the quality of fever. Indeed, symptom-based diagnosis, once common in other areas of medicine, has been largely replaced in the past half century as we have understood that symptoms alone rarely indicate the best choice of treatment.

Patients with mental disorders deserve better. Continue reading…

Could Opening Up the Doors to the World’s Medical Research Save Healthcare?

What if you had access to all of the medical research in the world? Or better yet, what if the physician treating your particularly complex or rare condition had access to the latest research? Or what if a public health organization in your community could access that research to inform policymakers of measures to advance public health?

“Wait,” you may think, “can’t they already access that research? Doesn’t the Internet make that possible?” While unfortunately the answer to the first question is “No,” fortunately the Internet can make such access possible. As it is today, most physicians and public health professionals have very limited access to health research, almost all of which is published online. Only about a quarter of the research published today ends up being available to those working outside of universities, where libraries subscribe to a good proportion of the research journals.

So, what are these health professionals missing? What difference to their work would access to research make? Cheryl Holzmeyer, Lauren Maggio, Laura Moorhead and I seek to answer these questions with a new National Science Foundation study for which we are currently recruiting physicians and staff of public health NGOs.

We seek to demonstrate the difference it makes to the daily work of these health professionals to have easy electronic access to all the biomedical and public health research – or at least that large proportion held by Stanford University Library – for a period of eleven months (with one month of limited access as a control). To assess the impact of this access, we provide participants with a special portal to the research literature and track when and what research is viewed, while following up with interviews on the use and value of this access.

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Box Picking Up Where Google Health Left Off

You probably saw some of the headlines last week where Box announced that is supporting HIPAA and HITECH compliance, signing Business Associate Agreements, (BAAs) and integrating with several platform app partners such as  Doximity, drchronoTigerText, and Medigram to help seed its new healthcare ecosystem.  I also announced that I was formally advising Box on their healthcare strategy.

I was drawn to Box because of all the lessons I learned at Google building a consumer-directed, personal health record (PHR), Google Health. Google Health allowed you to securely store, organize and share all of your medical records online and control where your data went and how it was managed. It was unlike the other PHRs in the industry that were tethered to the provider or payor or part of an Electronic Health Record (EHR) system.

Sound good? Well, it was in theory. The big issue with Google Health was aggregating your data from the disparate sources that stored data on you.  We had to create a ton of point-to-point integrations with large health insurance companies, academic medical centers, hospitals, medical practices and retail pharmacy chains. All of these providers and payors were covered entities in the world of HIPAA and were required to verify a patient’s identity before releasing any data to them electronically. It was a very bumpy user experience for even the most super-charged, IT savvy consumer.

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Misunderstanding Oregon

Much has already been written about the Oregon Medicaid study that just came out in the New England Journal of Medicine. Unfortunately, the vast majority is reflex, rather than reflection.  The study seems to serve as a Rorschach test of sorts, confirming people’s biases about whether Medicaid is “good” or “bad”.

The proponents of Medicaid point to all the ways in which Medicaid seems to help those who were enrolled – and the critics point to all the ways in which it didn’t.  But, if we take a step back to read the study carefully and think about what it teaches us, there is a lot to learn.

Here is a brief, and inadequate, summary (you should really read the study):  In 2008, Oregon used a lottery system to give a set of uninsured people access to Medicaid.  This essentially gave Kate Baicker and her colleagues a natural experiment to study the effects of being on Medicaid.

Those who won the lottery and gained access were compared to a control group who participated in the lottery but weren’t selected.  Opportunities to conduct such an experiment are rare and represent the gold standard for studying the effect of anything (e.g. Medicaid) on anything (like health outcomes).

Two years after enrollment, Baicker and colleagues examined what happened to people who got Medicaid versus those who remained uninsured.  There are six main findings from the study.  Compared to people who did not receive Medicaid coverage:

  1. People with Medicaid used more healthcare services – more doctor visits, more medications and even a few more ER visits and hospitalizations, though these last two were not statistically significant.
  2. People with Medicaid were more likely to get lots of tests – some of them probably good (cholesterol screening, Pap smears, mammograms) and some of them, probably bad (PSA tests).
  3. People with Medicaid, therefore, not surprisingly, spent more money on healthcare overall.
  4. Continue reading…

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