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Designing for Caregivers

What user personas do healthcare technology designers and entrepreneurs have in mind as they create their products? And how often is it the family caregiver of an elderly person?

This is the question I found myself mulling over as I wandered around the Health Refactored conference recently, surrounded by developers, designers, and entrepreneurs.

The issue particularly popped into my head when I decided to try Microsoft Healthvault after listening to Microsoft’s Sean Nolan give a very good keynote on the perils of pilots and the praises of platforms (such as HealthVault).

As some know, I’ve been in search of apps and services that can help older adults and their families keep track of lengthy and frequently-changing medication lists. For years now I’ve been urging family caregivers to maintain some kind of online list of medications, but so far I haven’t found a specific app or service to recommend.

Why? Because they all require way too much effort to enter long medication lists. Which means they are hardly usable for my patients’ families.

Could HealthVault do better? Having heard generally promising things about the service these past several months, I signed up and decided to pretend I was the daughter of one of my elderly patients, who had finally decided to take Dr. Kernisan’s advice and find some online way to keep track of Mom’s 15 medications.

Sigh. It’s nice and easy to sign up for HealthVault. However, it’s not so easy to add 15 medications into the system. When I click the “+” sign next to current medications, I am offered a pop-up box with several fields to complete.

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A Brief Introductory Course In Personalized Medicine: Read the Chart!

While we’re busy debating the pros and cons of clinical genome sequencing and tossing around buzzwords like “personalized” and “translational” medicine, I’ve recently caught some health care providers ignoring the archaic skills of communication and common sense. So while we await genome analysis apps on our smartphones and DNA sequence annotators in our doctors’ offices, here are 3 suggestions on how to provide personalized medicine right now:

1. Read the patient’s chart (paper or digital)

2. Listen to the patient

3. Look at the patient

Disclaimer: Today’s blog is anecdotal and non-scientific, but may identify a trend.

My Missing Thyroid

A few weeks ago, I had a long-overdue check-up, with a nurse practitioner. It was my first visit to the practice, which had provided excellent urgent care.

On the medical history form, I described my circa 1993 thyroid cancer in intimate histological detail: papillary in left lobe, follicular in the right.

The NP spent an impressive 45 minutes asking questions and listening to me – or so I thought. During the brief physical exam, I told her all about my thyroid cancer, my daily Synthroid dose, and even brought her hand to my throat, having noticed that dentists get very excited at my lack of a thyroid gland. No thyroid tests needed, said I. My endocrinologist had recently done them.

So I was surprised when, early the next morning, a Saturday, my cell phone quacked.

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The Doctor Is Happy

It feels dangerous to write this, but…my practice seems to be working.

I am now running and hiding from lightning bolts, meteors, or stray arrows shot in the air by a Scottish soldier.  I am also expecting a raid on my office by the IRS, CDC, and BBC tomorrow morning.  I don’t know why I wrote that.

But as afraid as I am to admit it, the thing that was once just a good idea is now actually growing and improving.  We are up to about 300 patients (with a big infusion when a local TV network did a story on my practice) and have enough money to pay bills without a visit from uncle bouncy.  While we’ve started to discuss when we will hire another staff person (probably a nurse), neither me nor my nurse Jamie (may her name be ever blessed) feel overwhelmed at this point.  We can handle this volume, which speaks well for the future when we actually have a fully-working system.

The past few weeks have been totally consumed by my need to have an underlying system of organization.  After fighting valiantly against the idea for the first two months, I succumbed to the necessity of building my own IT system and have been seeing the many benefits of that decision.  Despite being totally obsessed with how data tables connect and whether I’ve left a parenthesis off of a script I’ve written, I now have a place to put data, have a pretty decent task management system, have an integrated address book, and have discussed integration with my phone system vendor, my secure messaging developer, and a lab order/result integration vendor.  I’ve also found some strong local tech talent who gets what I am doing and yet doesn’t simply see the market potential for my software.

The reality is, my whole focus is on the practice model, and that model seems to work.  As my business and medical care management systems click into place and become more functional, growing the practice should not be a problem.  We continue to get several new patients signing up every day, and now the reluctant spouses of establish patients are joining (which is a very good sign – for both my practice and for their marriages).

Let me appease the gods and state clearly that this is by no means a sure thing.  There are many, many things that could go wrong.  A successful start-up requires not only a good idea and hard work; it also needs requires luck (or at least to avoid bad luck).  I could get cancer, my building could burn down, or our city could be overrun by a mob of psychotic llamas.  We all know the llama apocalypse is happening; it’s just a question of when, not if.   So I accept the fact that I am, to a great extent, in the hands of the fates (and llamas).

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The Oregon Experiment Revisited

It has been a couple of weeks since the landmark Oregon Experiment paper came out, and the buzz around it has subsided.  So what now?  First, with passage of time, I think it is worth reflecting on what worked in Oregon.  Second, we should take a step back, and recognize that what Oregon really exposed is that health insurance is a small part of a much bigger story about health in general.  This bigger story is one we can’t continue to ignore.

So let’s talk quickly about what worked in Oregon.  Health insurance, when properly framed as insurance (i.e. protection against high, unpredictable costs) works because it protects people from financial catastrophe.  The notion that Americans go bankrupt because they get cancer is awful and inexcusable, and it should not happen. We are a better, more generous country than that.  We should ensure that everyone has access to insurance that protects against financial catastrophe.  Whether we want the government (i.e. Medicaid, Medicare) or private companies to administer that insurance is a debate worth having.  Insurance works for cars and homes, and the Oregon experiment makes it clear that insurance works in healthcare.  No surprise.

The far more interesting lesson from Oregon is that we should not oversell the value of health insurance to improving people’s health.  While health insurance improves access to healthcare services (modestly), its impact on health is surprisingly and disappointingly small.  There are two reasons why this is the case.  The first is that not having insurance doesn’t actually mean not having any access to healthcare.  We care for the uninsured and provide people life-saving treatments when they need it, irrespective of their ability to pay.  Sure – we then stick them with crazy bills and bankrupt them – but we generally do enough to help them stay alive.  Yes, there’s plenty of evidence that the uninsured forego needed healthcare services and the consequences of being uninsured are not just financial.  They have health consequences as well.  But, claims like 50,000 Americans die each year because of a lack of health insurance? The data from Oregon should make us a little more skeptical about claims like that.

So what really matters?  Right now, we are pouring $2.8 trillion into healthcare services while failing to deliver the basics.  To borrow a well-known phrase, our healthcare system is perfectly designed to produce the outcomes we get – and here’s what we get: mediocre care and lousy outcomes at high prices.  Great.

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Universal EHR? No. Universal Data Access? Yes.

A recent blog posting calls for a “universal EMR” for the entire healthcare system. The author provides an example and correctly laments how lack of access to the complete data about a patient impedes optimal clinical care. I would add that quality improvement, clinical research, and public health are impeded by this situation as well.

However, I do not agree that a “universal EMR” is the best way to solve this problem. Instead, I would advocate that we need universal access to underlying clinical data, from which many different types of electronic health records (EHRs), personal health records (PHRs), and other applications can emerge.

What we really need for optimal use of health information is not an application but a platform. This notion has been advanced by many, perhaps most eloquently by Drs. Kenneth Mandl and Isaac Kohane of Boston Children’s Hospital [1,2]. Their work is being manifested in the SMART platform that is being funded by an ONC SHARP Award.

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Is the End of Search the Beginning of Personalized Prevention?

This past week, Google had its annual developers conference, Google I/O. One of the more provocative talks, called “The End of Search as We Know It,” was by Amit Singhal, who is in charge of search for Google.

The vision, as described by Amit, is that instead of typing words into a box on a website or mobile app, we will have conversations with Google, enabling a much more personalized, refined experience. The holy grail, of course, is that Google analytics become both predictive and prescriptive, serving you content that is just right for you and anticipates your needs.

It seems there is a race on now to achieve this vision. One could argue that Amazon, Apple, Facebook, Pandora and others are all in the same mode. Best I can tell, the promise these companies are floating to advertisers is that their ads will be served up to that focused slice of the population that will find their product relevant in the moment.

If you apply this thinking to healthcare, several controversies/topics come to the fore.

Is Google competing with IBM’s Watson? Undoubtedly yes. On the other hand, I’m guessing Google is disenchanted with the consumer health space after the demise of its personal health record (PHR). And IBM seems to be focused on clinician decision support. So early in the game, with respect to healthcare anyway, maybe there is not much competition. The path for clinician decision support is clear and the market obvious, whereas the path and market for consumer health decision support are blurry.

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MOOCS of Note: Free Hopkins Online Course in Patient Safety

If you follow the world of higher education, you have heard of MOOCs—massive online open courses. Open to anyone, anywhere, these free classes can attract tens of thousands of students whose hunger to learn outweighs the fact that no credits are typically awarded. With many elite universities now offering MOOCs, it’s a movement that is worth following as a potential model for affordable, accessible education in the future.

From an educator’s perspective, it’s also worth trying out. Beginning June 3, I will be teaming up with Cheryl Dennison Himmelfarb, a patient safety expert and associate professor at the Johns Hopkins University School of Nursing, to lead a five-week-long MOOC, “The Science of Safety in Healthcare.” Through the course, participants will explore fundamental topics in the science of safety, patient safety culture, teamwork and communication, patient-centered care, and strategies for assessing and improving care. The course workload is two to five hours per week, which includes up to two hours of video instruction, as well as readings and assignments.

Clinicians, hospital administrators, students, patients—indeed anyone with an interest in this topic—should consider enrolling. Students receive a statement of accomplishment upon passing the course.

Increasing patient safety requires that all frontline health care workers understand the basic concepts and language of health care, and that they develop the lenses to identify the hazards that face their patients. It will be interesting to see, through this course, if the MOOC model can help to efficiently deliver that kind of education on a broad basis. Certainly, becoming a patient safety leader at your unit, department or hospital requires more in-depth training.

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Medicine in Denial: What Larry Weed Can Teach Us About Patient Empowerment

[This post is the third and final part of a commentary on “Medicine in Denial,”(2011) by Dr. Lawrence Weed and Lincoln Weed. You can read Part 1 here and Part 2 here.]

It seems that Dr. Larry Weed is commonly referred to as the father of the SOAP note and of the problem list.

Having read his book, I’d say he should also be known as the father of orderly patient-centered care, and I’d encourage all those interested in patient empowerment and personalized care to learn more about his ideas. (Digital health enthusiasts, this means you too.)

Skeptical of this paternity claim? Consider this:

“The patient must have a copy of his own record. He must be involved with organizing and recording the variables so that the course of his own data on disease and treatment will slowly reveal to him what the best care for him should be.”

“Our job is to give the patient the tools and responsibility to organize the knowledge and slowly learn to integrate it. This can be done with modern guidance tools.”

These quotes of Dr. Weed’s were published in 1975, in a book titled “Your Health Care and How to Manage It.” The introduction to this older book is conveniently included as an appendix within “Medicine in Denial.” I highlighted it this section intensely, astounded at how forward-thinking and pragmatically patient-centered Dr. Weed’s ideas were back in 1975.

Thirty-eight years ago, Dr. Weed was encouraging patients to self-track and to participate in identifying the best course of medical management for themselves. Plus he thought they should have access to their records.

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Is Technology Making Us Fat?

As we look back over the past year and some of the amazing medical breakthroughs like wearable robotic devices, genomic sequencing and treatments like renal denervation that are improving people’s lives, it bears reflection on what else we could be doing better. Our world has changed more in the past century than in thousands of years of human history. We not only know more about our biology than ever before, but science and technology are unlocking the secrets of the very building blocks of our health. Somehow, in the midst of this incredible innovation, we’ve gotten fat, and not just a little. The result? Alarming rates of obesity and related chronic disease that threaten to crush us physically and financially.

But is it technology’s fault that we’ve become fat? A recent study by the Milken Institute that tied the amount an industrialized country spends on information and communication technologies directly to the obesity rates of its populations thinks so.

Most of us are guilty of a little overindulgence around the holidays but for many, overindulgence is a normal way of life. As economies transition to more sedentary, the physical movement that burned calories and kept us fit simply does not occur. Our lifestyles compound the issue — dual-income homes rely on the convenience of packaged meals, and our leisure activities have shifted to heavy “screen time” with movies, games and social media.

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Hospitals’ Twenty First Century Time Warp

There has been a lot of controversy in health policy circles recently about hospital market consolidation and its effect on costs.  However, less noticed than the quickened pace of industry consolidation is a more puzzling and largely unremarked-upon development:  hospitals seem to have hit the wall in technological innovation.   One can wonder if the two phenomena are related somehow.

During the last three decades of the twentieth century, health policymakers warned constantly that medical technology was driving up costs inexorably, and that unless we could somehow harness technological change, we’d be forced to ration care.  The most prominent statement of this thesis was Henry Aaron and William Schwartz’s Painful Prescription (1984).  Advocates of technological change argued that higher prices for care were justified by substantial qualitative improvements in hospitals’ output.

Perhaps policymakers should be careful what they wish for.  The care provided in the American hospital of 2013 seems eerily similar to that of the hospital of the year 2000, albeit far more expensive.    This is despite some powerful incentives for manufacturers and inventors to innovate (like an aging boomer generation, advances in materials, and a revolution in genetics), and the widespread persistence of  fee for service insurance payment that rewards hospitals for offering a more complex product.

Technology junkies should feel free to quarrel with these observations.  But the last major new imaging platform in the health system was PET , which was introduced into hospital use in the early 1990’s.  Though fusion technologies like PET/CT and PET/MR were introduced later, the last “got to have it” major imaging product was the 64 slice CT Scanner, which was introduced in 1998.  Both PET and CT angiography were subjects of fierce controversy over CMS decisions to pay for the services.

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