Category Archives: data saving lives

Economist Daily Chart: Peak Fat

Worryingly, the study—led by the Institute of Health Metrics and Evaluation at the University of Washington—showed that children are fattening at a faster pace than adults. Last week the World Health Organisation set up a new commission to curb child obesity. But it will be some time yet before the world reaches peak fat.

http://www.economist.com/blogs/graphicdetail/2014/05/daily-chart-19?fsrc=scn/fb/wl/dc/peakfat

Daily chart

Peak fat

20140531_gdc156_0 Economist Peak Fat

WAISTLINES are widening everywhere. The percentage of adults who are overweight or obese has swelled from 29% in 1980 to 37% in 2013, according to a new study in the Lancet. People in virtually all nations got larger, with the biggest expansions seen in Africa, the Middle East and New Zealand and Australia. The chunkiest nations overall are found in the tiny Pacific islands and Kuwait, where over three-quarters of adults are overweight and over half are obese. And the world is unlikely to slim down soon. While the rate of increase has slowed in the rich world, it is still rising in poorer countries, where two-thirds of the world’s 2.1 billion overweight adults live. China is home to the largest number anywhere—335m, more than the population of America. This is not just because of its sheer size, but also because economic growth led to cellulite growth: a quarter of adults are now overweight compared with one in ten in 1980.Mexicans just outweigh neighbouring Americans. In both countries, two-thirds of people could lose a pound or two, though more Americans are obese. Agreeing on how to combat the problem is tricky, given that experts continue to bicker on what, precisely, makes us fat. Worryingly, the study—led by the Institute of Health Metrics and Evaluation at the University of Washington—showed that children are fattening at a faster pace than adults. Last week the World Health Organisation set up a new commission to curb child obesity. But it will be some time yet before the world reaches peak fat.

IFTTT = If This Then That (awesome)

Automated Life Logging. Go Figure.

http://www.engadget.com/2014/05/20/ifttt-fitbit-channel/

If you’re sporting one of Fitbit’s activity trackers, you can now automate tasks and reminders with the help of IFTTT (If This Then That). The recipe-based software announced a dedicated channel for the sporty gadgets today, handling duties based on goals, activity, sleep, weight and more. For example, you can now log a weigh-in via text message or automatically beam sleep stats to a Google Spreadsheet each morning. Of course, those are just a couple of the possibilities, and users can construct their own formulas as well. Those who prefer Jawbone’s wearables have already been privy to the automated life logging, with other wrist-worn devices like the Pebble smartwatch supported too.

US Physician Payment Data

Great opener in this article:

The days of building electronic medical record software are over. Oh sure, EHRs will continue to get built, improved, “skinned,” perhaps even reimagined. But with the EHR incentive program beyond its peak, attention is shifting to other important aspects of the healthcare technology spectrum.

Really belies where these guys are coming from…

http://www.healthleadersmedia.com/content/TEC-303683/Physician-Payment-Data-is-Where-the-Action-Is

Physician Payment Data is Where the Action Is

Scott Mace, for HealthLeaders Media , April 22, 2014

 Look beyond the EHR incentive program. A national effort to turn CMS’s recent release of Medicare physician payment data into useful, actionable data visualizations is the hottest HIT challenge right now.

The days of building electronic medical record software are over.

Oh sure, EHRs will continue to get built, improved, “skinned,” perhaps even reimagined.

But with the EHR incentive program beyond its peak, attention is shifting to other important aspects of the healthcare technology spectrum.

Last week in this space, I described how entire communities are engaging in friendly competition to leverage the many digital breadcrumbs that make up today’s total population health picture.

The Way to Wellville effort is a five-year marathon. Health Datapalooza’s Code-a-Palooza is an opportunity for a variety of stakeholders, healthcare systems included, to step forward and compete in a national one-month sprint to turn CMS’s recent burst of Medicare physician payment data into useful, actionable information for patients and payers alike.

While this data gives patients the opportunity to compare and contrast physician-level data on charges, it is a lot of information to sift through.

That is the challenge for Code-a-Palooza entrants. A collaboration among Health Data Consortium, the ONC and CMS, developers are invited to use the newly released data to create a data visualization that improves consumer decision-making when it comes to selecting a physician or procedure, in turn helping to potentially reduce costs and increase value to the patient.

Health Data Consortium will award $35,000 to three top teams at Health Datapalooza on June 3.

To learn more, I spoke with Health Data Consortium CEO Dwayne Spradlin. Last year, Spradlin reminded me, an earlier competition used a specially prepared CMS data set that had not been made public. This year, for the first time, the competition is based on public data. That should drive lots of discussion, and no small amount of controversy.

Last year, the competition winner was a team of doctors who had coding chops. You never know where in healthcare such tech talent may be waiting.

“I would be floored, in fact, if we don’t have quite the diversity of individuals and teams registered,” Spradlin said.

I responded that there is this conventional wisdom that healthcare is so far behind the technology curve that mere doctors cannot be expected to be the leading technology innovators, but instead must be rescued by the rocket scientists, Wall Street quants and otherBrainiacs who populate so many venture-backed healthcare startups, parachuting in as if their ignorance of the healthcare system is some sort of advantage.

There may be some truth in such thinking. “There’s an adage in the field of open innovation, which is some problems are too big to leave to the experts,” Spradlin said. “Very often, if the expert in a particular field could solve a problem, they would have already.” So, will there be contenders from outside of healthcare? You bet.

And yet, Code-a-Palooza may continue to put the lie to this stereotype.

“You do need the people who are the subject masters to really come in and say take this data set from CMS and make it do things that really matter to healthcare,” Spradlin said.

But as Spradlin reminded me, last year’s winners “did not represent your father’s healthcare system. They were fearless, unafraid. They had been brought up in the develop arena as well. They saw a need to do some things differently.”

But just to set expectations, remember that the recently released CMS data is all about cost, not quality. The full matching set of quality data is locked up still somewhere in CMS, and since I understand the agency operates at least four separate data warehouses, it could be some time before we see a truly complete coding competition.

That will invite in the controversy, because just looking at cost without the associated quality measures is bound to be taken out of context by someone somewhere. To some extent, because the newly released data hasn’t been poured into apps as easy to use as Yelp, some of that controversy hasn’t erupted yet. And there’s always the possibility that a Yelp-style app won’t capture the nuance or the inherent value of a medical encounter. The ensuing outcry could simply be added to all the other perceived outrages of our public healthcare debate.

Still, Spradlin pointed out that in the initial flush of reportage after April 9, reporters and healthcare critics were able to go after apparently inflated costs.

“It took all of about a day for them to start finding which providers had the highest billing numbers,” Spradlin said. “But it certainly won’t be the last word.” Geographic variations, socioeconomic variables and other deep population analysis “may be the most interesting of all. Some of that could come out of this competition. People will be analyzing this data for months and months. I think the least interesting thing is actually what got published on April 10.”

Every time more of this data gets released, a network effect will kick in, with new opportunities to correlate previously-released data with the new.

In a world where consumers can spend five hours picking out their latest smartphone, and less than 20 minutes picking a physician, this kind of information will fundamentally change healthcare, Spradlin said.

“The AMA is right, in that there is a lot of context that’s important to understand,” Spradlin said. “As we get a little bit smarter, and the consumer population gets a little bit smarter about understanding and parsing a lot of this, we’ll get better at correlating the quality measures in these cases.

“I also think we could see some unexpected attempts at driving some that, even here. When you look at claims data, you can’t help but look at readmission rates. Are readmission rates potentially a strong signal of quality? I think for certain procedures, probably.”

Code-a-Palooza visualization proposals are due on April 25. (Don’t worry, the coding doesn’t all have to be done by then.) As competitors and other healthcare luminaries assemble in Washington June 1–3 and I’ll be there again to cover it—then the real fun begins.


Scott Mace is senior technology editor at HealthLeaders Media. 

Saturday Extra (Norman Swan): Retail Wars // Big Data Play

Robert Gottleibsen on Woolies vs Coles retail strategy, including commentary on Wollies big data play

http://www.abc.net.au/radionational/programs/saturdayextra/supermarket-wars/5397006

Retail wars

Saturday 3 May 2014 7:50AM

The supermarket giants Coles and Woolworths have reported sales results that put them virtually neck and neck in the war for our trolleys and our wallets.

The battle for supremacy has been going on for five years, with Coles taking the lead since it was acquired by the Wesfarmers group in 2007.

But even with the retailers drawing closer in terms of results, there are some stark differences in business strategy that are being played out.

Extremely cool $150 smartphone spectrometer

 

http://gigaom.com/2014/04/29/consumer-physics-150-smartphone-spectrometer-can-tell-the-number-of-calories-in-your-food/

https://www.kickstarter.com/projects/903107259/scio-your-sixth-sense-a-pocket-molecular-sensor-fo

Consumer Physics’ $150 smartphone spectrometer can tell the number of calories in your food

SCiO-In-Hand---900px

SUMMARY:The SCiO is a handheld molecular analyzer, developed by Consumer Physics, which pairs with a smartphone through Bluetooth LE. The Kickstarter launched Tuesday morning and a fully operational SCiO starts at $149.

Would you like to be able to look up the calorie content of the specific apple you’re eating? You could take it to a lab and run it through a spectrometer, but accurate spectrometers are huge, expensive machines that are often only owned by institutions and require training to use. A new startup, however, wants to make iteasy as running an app and pairing a bluetooth dongle.

SCiO

The SCiO is a handheld device that pairs with a smartphone through Bluetooth LE being developed by Consumer Physics, an Israel-based startup funded by Kholsa Ventures. It’s based on near-infrared spectroscopy, which means it reflects light onto an object, then collects and analyzes the light reflected back. The Kickstarter launched Tuesday morning with several funding levels: a fully operational SCiO starts at $149, but Kickstarter backers pledging over $300 will receive two years of guaranteed app upgrades.

While scientists and researchers use near-infrared spectroscopy on a regular basis, there are lots of consumers that would love to know more about the chemical composition of the world around them, whether it’s identifying the pills left in the back of the medicine cabinet or figuring out whether the fruit at the farmer’s market is ripe. Consumer Physics will offer both Android and iPhone apps, and also hopes to develop a platform upon which third parties can build their own apps.

Using the SCiO is simple: shine its blue light onto an object you want to analyze. In a few seconds, the associated smartphone app will take the spectrometer reading, send it to SCiO servers, analyze it and compare it to a database of known spectral signatures, and display the information in an easy-to-understand manner. In turn, the readings provided by users will make the spectral signature database more complete.

Consumer Physics has developed three different applications for identifying food, medicines, and plants. During a short demo, I saw the module return the percentage of fat and number of calories per 100 grams of cheese. The SCiO was also able to identify a number of different over-the-counter drugs and could distinguish between a Tylenol and a Tylenol PM. I did not see the plant application, but eventually, it should be able to measure leaf hydration and soil hydration and provide hydroponic solution analysis.

While the SCiO prototype is about the size of a large keyring, the actual module is much smaller. It’s closer to the size of a smartphone camera module, and could one day be included in a variety of forms, including wearables. Developer kits available through the Kickstarter for $200 offer bare-bones SCiO modules and come with CAD designs for 3D printers.

Although Consumer Physics, in addition to developing the hardware, is also populating the first databases and apps that work with the SCiO, hopefully other companies will build their own apps, using the developer kit available from Kickstarter. Personally, I’d love to see apps that would identify if a drink has been spiked with drugs. However, you might have to pay, especially for specific professional use-cases. Spectography is often used to identify gems, and CEO Dror Oren adds, “If someone wants to offer an application for diamonds that costs $1,000, that’s the kind of platform we want to build.”

Other companies working in the portable spectrometer space have also used the technology to track calories eaten and nutritional intake through a user’s sweat.

The first SCiO prototypes will ship in October and the Kickstarter is live now.

New Yorker: What Big Data can’t tell us about health care

A “measured” article.

2% of physicians account for 25% of payments

US Medicare’s release of 9million lines of 2012 outpatient payment data for all 880,000 US doctors.

Amitabh Chandra, a health economist at Harvard, noted that the release of these data may be most useful not to the public or health researchers but to private insurers. These firms keep their own data, but the Medicare dataset is far more vast than any one insurer’s figures. Insurers, Chandra said, may be able to mine these data to build smarter networks that exclude high-cost providers and include high-performing ones. This type of tiered networking, on a grand scale, could actually improve the efficiency of our delivery system. It is this version of transparency-driven tiering, Chandra believes, that could assist in our cost-containment efforts.

http://www.newyorker.com/online/blogs/currency/2014/04/the-medicare-data-dump-and-the-cost-of-care.html

APRIL 23, 2014

WHAT BIG DATA CAN’T TELL US ABOUT HEALTH CARE

Malouin is a family doctor, which is not a specialty that one typically enters hoping to get rich. Delivering primary care is seen by doctors as hard work that earns comparatively little pay, and it is a job that is only getting harder. That’s because the Affordable Care Act, with the broad ambition of containing costs while improving quality, hopes to move away from a fee-for-service model, toward one in which doctors are paid primarily for keeping their patients healthy, a responsibility that will fall largely on primary-care doctors. At this point, nobody quite knows how to make this vision a reality, but Medicare has funded various demonstration projects to test innovations in care—one of which is led by Malouin, who supervises three hundred and eighty primary-care practices that treat a million patients in Michigan. Payments for care improvement from Medicare at all these clinics are made under Malouin’s name, which is how she ended up in dozens of newspaper reports on the data dump.

Even doctors who didn’t end up making headlines like Malouin told me that they felt somewhat exposed by the release of the Medicare payments data. As one friend tweeted, “Imagine if you woke up one morning to find that every person in your profession had their income reported on the New York Times web site.” For nearly thirty-five years, the American Medical Association had worked to keep this information private, after securing a federal court injunction in 1979. Dow Jones, the parent company of the Wall Street Journal, waged a legal battle against the injunction, which was overturned by a federal judge last year.

In the march toward greater price transparency in health care, the data release represents a milestone, though perhaps one more symbolic than substantive. For those who believe that greater price transparency is the key to reining in exorbitant costs and helping patients to become more savvy “health-care consumers,” the data release is a huge victory. Indeed, the early coverage, invariably emphasizing the high spending of a small group of physicians, had a tone of triumph. According to the Times, two per cent of physicians accounted for nearly a quarter of Medicare spending. Ophthalmologists led this small group of high billers, with a large portion of their payments apparently connected to the use of an expensive treatment for macular degeneration. Charts broke down payments by specialty, showing cancer doctors in the lead, while maps of the distribution in spending confirmed long-observed geographic variations. For instance, states like Florida, Texas, and New Jersey consume a large share of Medicare resources.

The calls for price transparency, as a means of bringing down health-care costs, have certainly gained momentum in the past year. In this latest chapter, the hope is that members of the public will be empowered by their access to payments data, and will use this information to identify doctors who are behaving badly, helping to end fraud and profit-driven overuse. In fact, Medicare already conducts internal audits, and the two highest billers in 2012, an ophthalmologist and a cardiologist, both from Florida, were already under federal review. But the third-highest biller, a pathologist, directs a diagnostic company that performs tests for twenty-six other pathologists, which are all billed under his name. Similarly, an oncologist from Newport Beach, California, who billed nine million dollars, explained that all the billing at his practice, which includes five physicians, was under his name, and much of it was directed toward expensive chemotherapy drugs. (One such drug, for advanced melanoma, called ipilimumab, costs about a hundred thousand dollars for four treatments.)

This release includes more than nine million rows of numbers, encompassing more than eight hundred and eighty thousand physicians and other health-care professionals who billed under Medicare Part B—which covers care delivered in an outpatient setting—in 2012. You see their names, their addresses, the services they billed for, how much Medicare reimbursed, and many other details. There are several caveats to interpreting the payment data. First, there is a difference between what Medicare pays and what doctors earn. All doctors face overhead costs: radiation oncologists, for instance, have to pay for technicians and expensive equipment. These doctors were among the highest billers, but eighty-two per cent of their Medicare reimbursements went to covering these expenses. An analysis by the Washington Post found that Medicare paid sixty-four billion dollars to doctors in 2012, of which forty-three per cent went to office overhead, forty-one per cent went to doctor compensation, and thirteen per cent went to drug costs. Even within the Medicare system, these data provide an incomplete picture, as the reimbursements do not include payments within hospital systems (which fall under Medicare Part A) or various Medicare Advantage plans, which cover many seniors but are not included in these numbers.

Despite these caveats, members of the public were encouraged to use these data to make more informed decisions about where to seek care. Indeed, in a press briefing on Wednesday, Jonathan Blum, an administrator at the Centers for Medicare & Medicaid Services, said, “We look forward to making this important, new information available so that consumers, Medicare and other payers can get the best value for their health-care dollar.” The suggestion that these data can allow you truly to comparison-shop, however, is misleading. These data do not tell us anything about the value of care. By definition, the value of health care cannot be measured in dollars spent; it’s about what you get for those dollars, and the Medicare data, however useful, offer little new information of that sort. These numbers tell us, for example, that dermatologists receive higher reimbursements than pediatricians, that cardiologists in Oregon get paid less than their counterparts in New York, and that performing procedures pays better than talking to patients. But they cannot tell us whether doctors provided good care, because being a good doctor sometimes means doing everything, and sometimes it means doing nothing at all.

Let’s say you find that your ophthalmologist performed fewer cataract surgeries than average. It could be because he lacks experience. But it also could be because most of his patients have Medicare Advantage plans that are not included in these data. What about your vascular surgeon, who billed Medicare more than a million dollars last year? He thinks that you need a stent to open a blocked artery in your leg. Do his high numbers indicate a tendency to perform unnecessary surgeries? Maybe. But it is just as likely that his apparently high billing numbers reflect the fact that he performs procedures in his office—covered under Medicare Part B—whereas most of his peers perform similar procedures in hospitals, where their payments aren’t included in these data. And your orthopedist, who performed nearly five hundred hip replacements last year? Surely his high volume suggests that he knows what he is doing? Of all the conclusions that you can make from these data, that high procedural volume signals that better quality is the one with the most empirical backing. But even that is just one signal amid a great deal of noise.

This is not to suggest that the information released earlier this month will not play a role in making it easier for individuals to determine where they can get good care. When I spoke to Jonathan Kolstad, a professor of health-care management at Wharton, he noted that medicine has lagged far behind other industries in giving consumers data to inform their decisions—often because privacy concerns raise significant barriers. This release is a partial step, Kolstad said, but the message “is not that we should be releasing less data. It’s that we should be releasing even more.”

Amitabh Chandra, a health economist at Harvard, noted that the release of these data may be most useful not to the public or health researchers but to private insurers. These firms keep their own data, but the Medicare dataset is far more vast than any one insurer’s figures. Insurers, Chandra said, may be able to mine these data to build smarter networks that exclude high-cost providers and include high-performing ones. This type of tiered networking, on a grand scale, could actually improve the efficiency of our delivery system. It is this version of transparency-driven tiering, Chandra believes, that could assist in our cost-containment efforts.

“I think that we all agree that we have to do something about bending the cost curve,” Chandra said. “But I think we have deluded ourselves into thinking that a challenge as big as bending the cost curve can be collapsed into something as simple as transparency.” He likened the notion that transparency alone could solve the problem to imagining that we could stop global warming by driving hybrids. “We are always drawn to these tantalizing simple arguments. Transparency is just one of the ways we are seeing such aspirational thinking in health care.”

The potential danger in this data dump does not come from the new information it provides but from the old story it risks reinforcing. The existing narrative of American health care goes something like this: greedy physicians perform procedures that patients don’t need and enrich themselves in the process, which is why a third of health-care spending goes to unnecessary care. Now that members of the public can see where their tax dollars are going, they are empowered to rid the system of duplicitous doctors. Indeed, as Blum, the Medicare administrator, emphasized to the press, “We know that there’s waste in the system. We know that there’s fraud in the system. We want the public’s help to review the physician-payment data and report suspected wrongdoing.”

This narrative has many problems. First, the data suggesting the extent of unnecessary care have come under widespread criticism. Economists have also pointed out that other factors, such as high administrative costs and expensive technology, play a greater role in exorbitant costs than overuse. But, even if eliminating waste would, by itself, cure our ailing health-care system, these data do not allow us to identify waste—because waste is not the same as spending a lot. Waste is not even the same as high spending that doesn’t make people healthier. Doctors do that all the time: not because we are trying to enrich ourselves but because we are trying to help our patients. What looks wasteful in retrospect may have looked like a live-saving intervention at the time it was made—and this is as true for expensive chemotherapies that fail to save a life as it is for expensive tests that don’t reveal disease.

That’s why asking the public to use this information to identify waste belies the complexity of physician decision-making. Do physicians respond to financial incentives? Yes. Should we tolerate care that offers patients no benefit? Absolutely not. But are profit motives the primary drivers of physician behavior? My own sense is that most physicians are primarily motivated by trying to do the right thing for their patients. Combing through these data, however, creates the impression that the pecuniary trumps the humane. What else can one conclude from information that only tells you how much physicians do and what they bill?

From an experimental standpoint, unpacking non-financial drivers of physician behavior is far harder than demonstrating that physicians respond to financial incentives. But Kolstad, the Wharton health economist, recently published a study suggesting that wanting to perform better was a far more powerful motivator than wanting to earn more. The paper, which was recently awarded the prestigious Arrow Award for the best study in health economics, examines the behavior of heart surgeons in Pennsylvania. Kolstad took advantage of a report-card system implemented in Pennsylvania in 2006, which created a financial incentive for surgeons to lower their mortality rates because of a need to attract patients. He compared this incentive to simply giving surgeons feedback on their performance and showing them how they compared to their peers. This feedback was four times more powerful in improving physician performance than the financial incentives.

While much more experimentation of this type is necessary in our quest to understand how to improve quality and cut costs, it is no wonder that we cling to the story that we have told. It offers heroes and villains, fosters the American ideal of the individual over any collective authority, and, above all, provides the hopeful illusion that we don’t have to confront the hardest questions that doctors and patients grapple with every day. How much are we willing to spend to save a life? Is a groundbreaking hepatitis C drug worth eighty-four thousand dollars? What about chemotherapy that costs a hundred thousand dollars and may only prolong a life by four months?How much do we value quality of life, or patient satisfaction, against cost? We know, for instance, that M.R.I.s for patients with back pain typically leave them no healthier, but they do leave them more satisfied. Is this a cost that the American taxpayer should bear?

These types of questions are burning beneath the surface of our superficial discussions about how to improve the value of health care, but the political will to address them, from both an empirical and ethical standpoint, is decidedly absent. Indeed, Medicare is prohibited from considering cost effectiveness in coverage decisions, and, even though the Affordable Care Act does emphasize the need to fund more research comparing the efficacy of various treatments, translating these findings into practice requires a collective willingness to consider costs in coverage. Because such discussions are often conflated with rationing, any attempt to do this is a political nonstarter. Perpetuating the attribution of high health-care costs to physician greed just makes addressing these critical questions more difficult.

There is nothing wrong with trying to improve the value of health care. But better value will depend as much on doing more of what’s good as it will upon doing less of what’s bad. So much of that good isn’t captured by these numbers. You don’t bill for talking to a patient about how he wants to die. There’s no code for providing reassurance rather than ordering a test. And, for all the talk about transforming our health-care system from one that treats illness to one that promotes health, no one pays you to talk to patients about how they might lead healthier lives.

Photograph by Skynesher/Vetta/Getty.

Digital Therapeutics – Omada Health

The world is finally entering a new era of effective, scalable, and life-saving change, all delivered through the other end of an internet connection. For three out of four of us, that change can’t come soon enough.

http://www.forbes.com/sites/sciencebiz/2014/04/17/what-if-doctors-could-finally-prescribe-behavior-change/

BUSINESS 4/17/2014 @ 5:31PM |3,232 views

What If Doctors Could Finally Prescribe Behavior Change?

Three out of four Americans will die of a disease that could be avoided—if only they could re-route their unhealthy habits. A new category of medicine, digital therapeutics, wants to change the course of these conditions — and of history.

Doctors have known for decades that, in order to prevent disease or its complications, they were going to have to get into people’s living rooms and convince them to change everyday behaviors that would very likely kill them. To that end, back in the early ’90s, health institutions started trying to intervene largely via the cutting-edge technology that existed at the time: phone calls. At-risk populations were dialed up and encouraged to take steps that could ward off heart disease, diabetes complications, lung cancer and other avoidable conditions that cause 75% of Americans to die prematurely.

As you can imagine, these calls largely flopped. A phone interaction led by a stranger who interrupts your dinner hour, no matter how well-intentioned, felt like more like an intrusion than meaningful
support.

The more we discover about behavioral science, the more naïve those calls seem in retrospect. Whether it’s for weight loss, smoking cessation, diabetes, or otherwise, the best research shows that meaningful behavior change outcomes require not just guidance from a trusted health professional, but also positive social support, easy-to-digest insights about their condition, a carefully orchestrated timeline, and a process that follows validated behavioral science protocols. That’s hard to squeeze into a phone call. Or a doctor’s visit, for that matter.

The world urgently needs better ways to bring behavior change therapies to the masses, and advancements in digital tech are finally enabling us to orchestrate the necessary ingredients to make that happen in a clinically meaningful way.

That’s doesn’t make it easy. In fact, it’s effectively pioneering a new class of medicine, often dubbed “digital therapeutics.” But any clinically-meaningful digital therapeutic needs to clear two significant
hurdles. One, it needs to genuinely engage and inspire the patient, both initially and over time. Two, it must also unequivocally demonstrate efficacy to the medical community by rooting itself in the best science and by producing clinically-significant outcomes, just as any traditional drug is expected to do.

That’s why, until recently, most available health apps couldn’t truly be categorized as digital therapeutics. For instance, a study in 2012 showed that very few of the top 50 smoking cessation apps available at the time abided by evidence-based protocols. This high-tech snake oil was not deliberate, but it is a side effect of the fact that very few of the leading behavioral science researchers knowing how to program in Objective C or Ruby on Rails. Companies looking to truly pioneer in this new category must both establish and exceed the highest scientific standards while building exceptional online experiences. The good news is that is starting to happen.

Emerging in the white hat category are a handful of medically-minded visionaries who have put real clinical rigor into every aspect of their design. For instance, David Van Sickle, a former CDC “epidemiologist intelligence officer,” and now the CEO and Co-Founder of Propeller Health, built a GPS-enabled sensor for asthma inhalers that links to an elegantly designed app — every puff is mapped and time-stamped, allowing patients and doctors to spot patterns in ‘random’ attacks and identify previously unknown triggers.

Another example is Jenna Tregarthen, a PhD candidate in clinical psychology and eating disorder specialist. She rallied a team of engineers, entrepreneurs, and fellow psychologists to develop Recovery Record, a digital therapy that helps patients gain control over their eating disorder by enabling them to self-monitor for destructive thoughts or actions, follow meal plans, achieve behavior goals, and message a therapist instantly when they need support.

Momentum for the promise of digital therapeutics is building. A massive surge in digital health investing reflects how rapidly confidence in this space is growing. In ten years, we have no doubt that your doctor will recommend a digital program for your depression either instead of, or in addition to, a pill. Your insomnia, kidney stones, or lower back pain might be treated by an experience centered around an iOS app. We can clearly see a future where a doctor’s prescription sends you to an immersive online experience as often as it does to a pharmacy.

The world is finally entering a new era of effective, scalable, and life-saving change, all delivered through the other end of an internet connection. For three out of four of us, that change can’t come soon enough.