Sometimes we can find synergies and opportunities in unlikely places. On the one hand, we’ve all been seeing research pour in, showing how critical stress is to our well-being. Stress is the new fat! On the other hand, our team has been hard at work planning this year’s Connected Health Symposium, always looking for new ways to entice, inspire and educate attendees. So I got to thinking…. Wouldn’t it be interesting to evaluate a couple of new connected health devices and offer Symposium registrants an opportunity to participate in the study.
So it is with great excitement that I announce enrollment in our StressLess trial, evaluating the effectiveness of Muse and Spire, two personal health devices, on stress management. Folks who register for the 2016 Connected Health Symposium will be eligible. A total of 126 participants will be enrolled in this nine-week randomized, controlled study; devices will be provided to participants. In addition, all study procedures — including consent, eligibility screening and the enrollment questionnaire — will be completed using Compass, the mobile application we developed for secure online data collection.
Muse and Spire are recent technologies that could improve understanding of stress management and enhance quality of healthcare. The Spire points out when you are stressed and the Muse is an aid to meditation/mindfulness. Conventional wisdom would tell us that those who are using these devices will show reduced levels of stress episodes.
This is what we’re testing: Those who enroll will have access to the Spire to collect baseline data on current stress levels, as measured by breathing rates. After the two week baseline period, half of the participants will use the Spire device for stress management and the other half will get a Muse device, for mindfulness meditation. If the Spire and Muse devices are effective in improving stress management, study participants will have fewer episodes of stress for the duration of the study.
It’s an important study and a unique opportunity for Symposium participants to get a birds-eye view of how we conduct clinical research, its impact and, importantly, the role of study participants.
There will be a panel session at the 2016 Connected Health Symposium to discuss the lessons learned.
This is but one example of how we are always innovating at Partners Connected Health. Our thanks to Muse and Spire for supporting this study.
I would like to acknowledge the contributions of Catherine Schuster Bruce in this post. Catherine is a University of Bristol Medical Graduate who recently spent two months on placement with Partners Connected Health prior to starting work at the Royal London Hospital, London.
Missed diagnosis. No Diagnosis. Dodgy Clinicians… There’s been a lot of hand wringing around direct-to-consumer (DTC) telehealth. Recently, more alarms went off in the wake of a Wall Street Journal article, outlining the results of a study posted online in JAMA Dermatology that assessed the quality of DTC teledermatology.
Specifically, this study aimed to test the quality of 16 DTC teledermatology services in California. They created surrogate ‘personas’ that presented as potential real-life patients seeking a teledermatology consult. Factors assessed included clinician choice; clinician location; type of data the clinic requested; the diagnoses given; the treatment prescribed or recommended; whether adverse medication effects were discussed; and whether the care was coordinated with the patient’s own physician.
Although the study did not use real patients, it raised some legitimate concerns about these online services. For example, the researchers were not able to verify American Board of Medical Specialities (ABMS) certification for all listed domestic physicians, and some websites did not even offer a consultation with a licensed, board-certified dermatologist. In addition, only 11% offered to send records to a current member of the patient’s clinical team, highlighting growing concern over lack of communication between primary care providers and DTC telemedicine services. This issue was raised in a survey by Fogel et al that was published in the Journal of Telemedicine and Telecare, and in policy documents from the American Medical Association.
The study also raised concern with respect to diagnostic accuracy. However, these claims may be overstated, as the study authors were unable to assess whether clinicians seeing these patients in traditional face-to-face encounters would have performed better. Arguably, we should aim for a standard of care that is the same, whether you are seen in person or via telehealth. Although there is robust literature showing comparable agreement between face-to-face clinicians and tele-clinicians, the studies have not been extended to DTC services. This line of research needs to be pursued because, in the DTC environment, a clinician is dealing with less information than either face-to-face encounters or traditional telehealth encounters. The empiric question is how much information is enough to render an accurate diagnosis and prompt an effective therapeutic strategy.
But, let’s pause and try to put all of this in perspective. Today there are a number of mobile and web-based DTC teledermatology services — some linking volunteer physicians to underserved clinics and organizations, and other dermatology websites and independent providers that offer consumers a dermatologist’s opinion without ever meeting in person. At the same time, there are also numerous companies, such as American Well and Teledoc, that offer telehealth consultations to employer groups and insurers as a member benefit. For a defined list of non-acute conditions, you can tune in and get a consult from a provider you’ve never met before. Walgreens and CVS offer these services too.
In 2015, visits to DTC telemedicine websites reached 1.25 million individuals, and more than one million visits are expected this year, according the American Telemedicine Association (ATA). As these web-based services proliferate, there is apprehension over a lack of regulation, quality control and clinical standards. In fact, in a recent JAMA Viewpoint, my colleagues Stephen Agboola and David Bates and I raised concerns about telehealth and patient safety.
Medicine is a profession, and various forms of regulation – licensing, credentialing, granting of privileges — are in place to assure that those providing services to patients are legitimate professionals who will, as Hippocrates put forth, ‘above all do no harm.’ While most advocates have long agreed that state licensing of providers creates artificial barriers for telehealth, most also agree that unfettered, unregulated growth of DTC telehealth is probably not a good idea.
Some efforts are underway. For instance, the ATA offers an accreditation process for direct-to-consumer telehealth. This is an important start, but probably not enough.
The illustrative case from the JAMA Dermatology study is a teledermatology ‘patient’ feigning symptoms of secondary syphilis. This condition looks a lot like other more common, benign skin rashes and is rare, so I suspect it gets missed in many healthcare settings. That said, if the doctor thinks of it, s/he should order the test. Of course, ordering a test requires sending the patient to some brick-and-mortar facility, all but negating the value of the online consultation. When the online provider is faced with a patient with what appears to be a common condition easily treated with a prescription cream, the temptation could be too great to treat without recommending the blood test, thus supporting the business model of online consultation.
There are some things to work out, but there is good to be had by encouraging the thoughtful growth of DTC telehealth. For example, we need more patient-focused regulation and further study. We should also determine which symptoms are properly suited to online diagnosis versus the need for in-person care.
It is time that medical professionals tackle direct-to-consumer telehealth in a thoughtful way. Today, virtually every other service is delivered online these days. Do we really think healthcare is so different? Although it is a threat to traditional brick-and mortar healthcare, to dismiss telemedicine without further study is short-sighted. Those offering DTC telehealth services have an obligation here as well. It seems apparent that these online services are faced with a dilemma: provide the sort of convenient care that consumers demand or admit defeat.
What other challenges — and opportunities — do you see in advancing telehealth services?
Virtual visits are increasingly the rage amongst forward-thinking healthcare providers that want to jump on the telehealth band wagon. Extending the office visit across distance, using the same technology we use to keep in touch with loved ones (videoconferencing such as Skype and FaceTime), is a safe and logical way for providers to venture into a new tech-enabled world that may still be scary for some.
One way to think of this trend is to consider virtual visits an extension of the brick and mortar care model made famous a decade ago by companies like Minute Clinic. Offer convenient access to a care provider for a limited number of conditions.
Virtual visits can take place by either video or voice connection. These interactions are most often for indications that are non-life threatening, acute problems such as sore throat, ear ache, urinary tract infection and the like. There is also a role for this technology in follow up care for conditions such as diabetes and hypertension, but for this post we’ll focus on acute care.
Employers and health plans are interested in this mode of care delivery too. In a relatively short period of time, virtual visits have gone from a curiosity to a ‘table stakes’ offering in the world of employee health. Several companies now offer services in the space, most notably Teladoc (now publically traded) and American Well. These companies are interesting in that they can offer a complete service (i.e., software platform for access and a network of physicians who are waiting by the (video)phone for your call) or pieces of the service (for instance, just the software platform). This has led to some confusion in the marketplace. A consumer can now get a virtual visit from Walgreens or CVS (using the complete approach noted above). Blue Cross of MA offers its fully insured members access to virtual visits through American Well’s software and network.
You can see why provider organizations would sit up and take notice, with concerns about loss of revenue in the very important segment of primary care, as well as fragmented care. Hence, providers are looking very carefully at how they can offer these services themselves, before they are disrupted by the likes of CVS, Walgreens and their local health plan.
With this backdrop, I read two interesting journal articles this month. The first, published in JAMA Internal Medicine, employed individuals trained to act as patients with the following acute illnesses: ankle pain, strep throat, common cold, low back pain and urinary tract infection. These were chosen because there are recognized quality measures (which go by the acronym HEDIS) for how they are to be handled in an outpatient setting.
These fake patients performed 599 virtual visits across a number of different vendor scenarios. The findings revealed that quality of care delivered by this method is variable. For instance, the correct diagnosis was arrived at in 458/599 visits. Rates of guideline-adherent care ranged from 206 visits to 396 across eight different vendors. The big challenge with this — and something we have trouble talking about — is lack of comparison to the face-to-face office visit. For example, in traditional office-based circumstances, doctors misdiagnose and sometimes do not follow established guidelines.
The second paper was published in the Journal of Telemedicine and eHealth. The authors specifically targeted virtual visits from Teladoc and they did the comparison with office visits. The approach was different, however, in that it involved a retrospective insurance claims analysis from a specific organization, the California Public Employees Retirement System.
The first interesting data point is that of 233,000 eligible individuals, 3,000 took advantage of virtual visits, accounting for just over 4,600 visits. Utilization of just 1.3% is worth noting for those of us preparing to offer these services in the near future. We probably don’t need to anticipate an avalanche of demand.
The punch line from this study: Teladoc doctors performed worse on a number of indicators than office-based practitioners. Specifically, they did not order strep tests as much as office providers and they ordered antibiotics for bronchitis more often. This makes some intuitive sense, as it is additional work and bother for the virtual doctor to insist the patient get a strep test. (The patient will also be thinking, “Why did I bother to do this virtually and why do they offer this service if I have to travel for a strep test?”) In the case of antibiotics, the virtual provider may be more cautious without the person in the same room and err on the side of treating with antibiotics.
Both of these papers highlight how early we still are in the widespread adoption of virtual visits. Though there is lots of pressure to move, and we should do so, we have some time to get it right. We can take comfort in the low utilization, and work on educating providers on the pitfalls of the virtual environment. We can also educate our patients up front that even though their entry into the healthcare system will be virtual, they may need to travel to get additional diagnostic services, etc.
It seems that anytime a new tool or technology is introduced, we inevitably apply it broadly, learning as we go that the tool has ideal applications. Think about how we reflexively use text messaging, email, voice calls and in-person meetings in the context of our work lives. With time and a thoughtful approach, we’ll get there with virtual visits as well.
Of course there will come a time when that strep test can be done in-home, at the time of the virtual visit (or even before). We’ll have better tools for determining which cases of bronchitis should be treated with antibiotics. Who knows, we might even be able to do some sort of portable imaging for your low back pain.
Until then, we’ll be well served to educate both providers and consumers regarding both the excitement and the limitations of virtual visits.
We live in a headline/hyperlinked world. A couple of years back, I learned through happenstance that my most popular blog posts all had catchy titles. I’m pretty confident that people who read this blog do more than scan the titles, but there is so much information coming at us these days, it’s often difficult to get much beyond the headline. Another phenomenon of information overload is that we naturally apply heuristics or short cuts in our thinking to avoid dealing with a high degree of complexity. Let’s face it: it’s work to think!
In this context, I thought it would be worth talking about two recent headlines that seem to be set backs for the inexorable forward march of connected health. These come in the form of peer reviewed studies, so our instinct is to pay close attention.
In fact, one comes from an undisputed leader in the field, Dr. Eric Topol. His group recently published a paper where they examined the utility of a series of medical/health tracking devices as tools for health improvement in a cohort of folks with chronic illness. In our parlance, they put a feedback loop into these patients’ lives. It’s hard to say for sure from the study description, but it sounds like the intervention was mostly about giving patients insights from their own data. I don’t see much in the paper about coaching, motivation, etc.
If it is true that the interactivity/coaching/motivation component was light, that may explain the lackluster results. We find that the feedback loops alone are relatively weak motivators. It is also possible that, because the sample included a mix of chronic illnesses, it would be harder to see a positive effect. One principle of clinical trial design is to try to minimize all variables between the comparison groups, except the intervention. Having a group with varying diseases makes it harder to say for sure that any effects (or lack of effects) were due to the intervention itself.
Dr. Topol is an experienced researcher and academician. When they designed the study, I am confident they had the right intentions in mind. My guess is they felt like they were studying the effect of mobile health and wearable technology on health (more on that at the end of the post). But you can see that, in retrospect, the likelihood of teasing out a positive effect was relatively low.
The other paper, from JAMA Internal Medicine, reported on a high profile trial for congestive heart failure, which involved using telemonitoring and a nurse call center intervention after discharge. This trial included a large sample size and was published in a well-respected and well-read journal. On initial reading, it was less clear to me why they did not see an effect. I had to read thoroughly – way beyond the headline — to get an idea. The authors, in the discussion section, provide several thoughtful possibilities.
One that jumps out to me is that the intervention was not integrated into the physician practices caring for the patients. In our experience with CHF telemonitoring, it is crucial that the telemonitoring nurses have both access to the physician practices and the trust of the patients’ MDs. Sometimes a simple medication change can prevent a readmission if administered in a timely manner. This requires speedy communication between the telemonitoring nurse and the prescribing physician. If that connection can’t be made, the patient may wind up in the emergency room and the telemonitoring is for naught.
It is also fascinating that the authors point out that adherence to the intervention was only about 60%. This reminds me of another high profile paper from 2010 that came to the conclusion that telemonitoring for CHF ‘doesn’t work.’ I blogged on that at the time, pointing out that their adherence rate was 50%. In both cases, with such low adherence, it is not surprising that the effect was not noted.
In our heart failure program, adherence is close to 100%. As a result, our readmission rate is consistently about 50% (both all cause and CHF related) and we showed that our intervention is correlated with a 40% improvement in mortality over six months. The telemonitoring nurses from Partners HealthCare at Home cajole the patients in the most caring way and patients are therefore quite good at sending in their daily vitals. If they don’t, the nurses call to find out why. Our program is also tightly aligned with the patients’ referring practitioners. I suspect these two features are important in explaining our outcomes.
A prime example of how these study headlines can derail the advancement of connected health, was captured in an email I received the other day from my good friend Chris Wasden. Referring to the JAMA Internal Medicine study he said, “Our docs are using this research to indicate they should not waste their time on digital health.”
Perhaps a spirited discussion over some of these nuances may change some minds.
And that leads me again to the concept of headlines and heuristics. How could ‘telemonitoring’ in CHF lead to such disparate results? Is our work wrong? Spurious? I don’t believe so. Rather, I think we’ve collectively fallen into a trap of treating ‘mobile health’ and ‘telemonitoring’ as monolithic things when, as you can see, these interventions are designed quite differently.
I believe we are susceptible to this sort of confusion because of applying a heuristic. We are used to reading about clinical trials for new therapeutics or devices. A chemical is a chemical and a device is a device. In a pure setting, when applied to a uniform population of individuals, a chemical either has an effect or not. Connected health interventions are multifaceted and complex. Thus the apparent contradiction that telemonitoring works in our hands but not in the recent JAMA Internal Medicine paper.
My conclusion is that the next phase of research in this area should move away from testing technologies. Instead, we should focus on teasing out those design aspects of interventions that predict intervention success. Now I think that’s a good headline!
I’ll start out by offering two hypotheses:
- 1. mHealth interventions that are separate and distinct from the patient’s ongoing care process are less likely to be successful than those that are integrated.
- If adherence to a program is low, it will not be successful. Early phase, pre-clinical trial testing of interventions should include work to fine tune design features that promote adherence. Chapter 8 of The Internet of Healthy Things offers some ideas on this.
As I said five years ago, I’m not sure intention to treat analysis is the right way to evaluate connected health interventions. If patients are non-adherent to the intervention, is it any surprise that they don’t respond? I’m having trouble wrapping my head around that one.
I recently returned from two and a half whirlwind days at the HIMSS16 annual conference in Las Vegas, which attracted about 45,000 individuals. The event has grown substantially over the years, particularly since the passage of the HITECH act in 2009 and the resulting influx of dollars into the health information technology industry.
From my perspective, the biggest headline from the event was the growing attention to connected health. For most of my 20 years in the business, this conference was not on my radar, because HIMSS was all about electronic medical records (EMR) and making doctor’s work more efficient, while our work was focused on patient-centered technology-enabled care. I think my first time attending was 2010 and, at that point, I decided to go every other year or so, mostly as a curiosity.
This started to really change when HIMSS acquired the mHealth Summit and then Continua, which led to the launch of the Personal Connected Health Alliance (PCHA). It took a while for them to think through how they would weave these assets into the HIMSS quilt and they are still working on that. Last year, I attended the HIMSS annual meeting and had a speaking role. There was enough attention paid to connected health that I marked my calendar to attend again this year.
In The Tipping Point, Malcolm Gladwell talked about how certain phenomena seem to happen all at once, almost overnight. So it is with connected health and HIMSS, this year. I can safely say this is now a must-attend meeting for connected health enthusiasts.
With that backdrop, what did I learn at HIMSS? I saw some interesting big-picture trends but nothing I could point to as industry-changing. To be fair, I was tied up most of the time speaking about our new book, The Internet of Healthy Things. In fact, I gave four talks on the subject and did three book signings. It is hard to be in learning mode when you are spending so much energy in communication mode. In addition, I gave a talk on a wonderful research collaboration we have with Philips around using their predictive modeling platform, CareSage, to predict which individuals are at greater risk for readmission.
Those caveats aside, here are a few observations.
- HIMSS upped their commitment to the space by orders of magnitude by bringing on Patty Mechael as the new executive VP for the Personal Connected Health Alliance. Patty will officially begin her new role on April 15, and she will bring new energy and a wealth or relevant experience to this effort. Look for lots of new programs and offerings in the coming months as this group takes a more prominent role.
- Both Apple and Google were present and looking for the best way to play in this new interconnected world of mobile health and wearables. Apple has been more clear on their strategy. I attended a briefing where three early adopters of HealthKit talked about their successes, emphasizing the ease with which data can move between the device and the EMR. An important achievement, no doubt, but under-imagined. We all know that only the earliest adopter MDs are ready for this type of data integration. But, two challenges were not adequately addressed in their talks. First, the fact that approximately 20% (maybe more) of the patients we want to reach via home monitoring programs do not own a mobile device.
Second, is the number of patients using either iOS or android. Some speakers said that in their environment, iOS penetration is 80%. Could chronically ill people have a propensity for iOS devices? Even if that is the case, that means roughly 60% of a patient panel would be reached via this type of intervention (20% no mobile device and 20% of the remainder with android). In our experience, programs of this type cross the threshold of meaningful financial outcomes when the vast majority of the population can be reached. If 40 out of 100 patients never see the intervention, their outcomes will likely drown out the success of the other 60. Clearly this is all a work in progress.
- While CES was about more and more wearables/sensors, HIMSS was about more and more analytics. Population health vendors and analytics tools were so abundant, it was hard for them to differentiate themselves.
Perhaps our experience with Philips is illustrative. There are many synergies between our organizations, including a longstanding relationship with our home care agency, Partners HealthCare at Home, and Philips Lifeline. Philips approached us to examine the validity of their analytic engine in predicting which Lifeline pendant wearers would be at risk for high cost events. The results will be shared in more detail in upcoming research papers and releases. What I can tell you now is that, using a data pull from our EMR, and matching it to the Lifeline data, we showed that the Philips analytics tool was 76% accurate at flagging patients at risk for a high cost event. It also gave us first-time data and insights on patient encounters outside of the Partners network (i.e., patients taking ambulance transports to non-Partners facilities). This work was done by Steve Agboola, Sara Golas and colleagues on our Connected Health Innovation team.
- Patient engagement is still a much used (and abused) phrase. I did not see anything that stood out in this area. We have a long way to go at both crisply defining and making true strides in this area.
- An important component of our vision for connected health involves using wearables and mobile data as a phenotypic fingerprint from which to drive automated, contextual inspiring messages to improve your health. Several companies told me that they are on the same quest. This is exciting and, as we learn more, I’m sure I’ll be writing about it in future posts.
My experience at HIMSS16 was validating in many ways. As I traveled the hall speaking and signing books, I talked about the need for data normalization, pinpoint analytics, better designed products and tools that inspire people to improve their own health. There is progress in all of these areas, but still much work to do.
As I look back on my 20+ years of experience in connected health, I can comfortably say that our team has created connected health innovations that were consistently 5 to 10 years ahead of the market. I offer a few examples here: In the late ‘90s, we were working on videoconferencing as a tool for care delivery. In the early aughts, we started our work on home monitoring for chronic illness; the initial application was for congestive heart failure and our local partner was Partners HealthCare at Home. We took our second opinion program online, launching Partners Online Specialty Consultations (POSC), enabling patients and their physicians around the world to access specialists at Harvard Medical School-affiliated hospitals. Later, around 2005, we saw the need to create a repository for patient-generated data in order to centralize and streamline monitoring programs and pave the way for electronic record integration. Just a few years ago, we accomplished that integration and were considered to be first in the nation to show patient-generated data in the electronic record and the patient portal. In 2010, we demonstrated that follow-up visits for acne could be safely conducted by using an asynchronous online portal. There are now at least five companies offering services in this way.
In each case, when we were doing the work, others were largely disinterested and failed to see the value. Yet, without exception, these innovations are now part of mainstream care delivery or the infrastructure to support it.
I confess to being proud of the team’s innovation record. Watching the process from the inside every day leads to excitement and pleasure. It is fun to come to work in that environment. Of late, we’ve had an upsurge of interest from corporate partners who wish to participate in our brand of innovation. This has led to increased funding and the team is growing.
This all leads me to spend some time reflecting on what is our innovation process. It starts with ideation. Sometimes those are our ideas and sometimes they are ideas brought to us by corporate sponsors. We’ve found that, the earlier we can work with a corporate sponsor — even before product development — the better. Either way, the next phase is iterative.
We have a growing user-centered design team that applies a number of tools to get at the heart of how patients will interact with the products we envision. They include interviews, focus groups, ethnography and other capabilities. Once it is determined that we have something people will use, we start the cycle of testing, initially with small groups of patients/users and subsequently with more. At some point, we reach the conclusion that we are ready for large scale validation. That is when we typically initiate a rigorous, IRB-approved clinical trial. We do traditional randomized trials but also case-control studies where we mine our electronic record for a matched control group.
One thing we’ve learned over the years is that a successful clinical trial does not a product make. It is great to see verification of the science behind various tools we develop, but to bring an intervention to the marketplace, another step is required. This is where program development comes in. In this phase, we take the intervention to our Partners HealthCare clinicians (most often primary care practices) and see how it works/evolves in the real world. This phase brings a wealth of worthwhile learning and enables us to move a research program to a product.
From there we can take a number of paths:
- If it is a product we’ve co-developed with a corporate partner, they will have the option to license the intellectual property and commercialize the product. We retain the right to use the product internally at no additional charge.
- If it is our own intellectual property, we can explore creating a company, as we’ve done in the past, or again, seeking a licensing partner.
- Sometimes programs are valuable internally at Partners and not ready for the marketplace externally. In that case, we look for an internal partner to scale the initiative and do what is termed an internal hand off.
- On occasion, we create something that we are confident has market value, but does not have external traction or enough users internally to justify the internal hand off. Hence, we sometimes sunset a program, but at least as often, we choose to operationalize the program internally as we wait for the market to mature.
I’m admittedly proud of our team and the great work they are doing. I’m also curious to learn what innovation looks like in other organizations. Do you have a formal process for developing and vetting products? Are there specific challenges that may be hampering innovation? What are the successes you’ve achieved?
For about 10 years now, we’ve been collecting data from patients, mostly from sensors in their environment (activity trackers, blood pressure cuffs, weight scales, etc.), trying to break free from less-than-reliable self reported data.
We’ve shown that, properly used, patient-generated data is:
- Central to improved quality of care for chronically ill patients (i.e., patients with heart failure in a telemonitoring program had significant improvement in mortality compared to controls).
- Useful in engaging patients around lifestyle choices to improve the care of both diabetes and hypertension.
- Useful in engaging patients in interventions that encourage them to improve their own care.
Despite these studies and a bevy of evidence from other investigators in the field, I still get routinely reminded, when I am out presenting on connected health, that “physicians don’t want this data.” This is a resounding theme that ranks right up there with concerns about liability and reimbursement.
On the one hand this response is predictable. Physicians’ time is squeezed more than ever these days. The thought of having to pour over reams of normal values seems daunting. I take this objection as evidence that we aren’t clear in communicating our vision — or the true benefits of having real-time, real-world patient data available. In so many other industries, software has been designed to troll through complex data sets and cull out the meaningful relationships or events, and then presenting them succinctly as actionable information or valuable insight rather than just raw data. We can do this for patient generated data too.
Then there is the objection that it is complex and costly to collect such data. Things are getting better on this front. We’ve shown that for diseases such as congestive heart failure, remote monitoring programs that use patient generated data lead to a significant drop in hospital readmissions and, more importantly, a decrease in total medical expenses. These major cost savings quickly add up, while improving the quality of care delivered. It is hard to object to that combination.
Validic, a forward-thinking company, is one example of an organization providing software that enables easy collection and normalization of all sorts of patient-generated data. The company just came up with an exciting innovation that allows a patient to take a picture of any data-collecting device (imagine the screen on a home blood pressure monitoring device) with her mobile phone camera and have that data flow into the electronic record. This is analogous to taking a picture of your check and having it deposited in your checking account. This will lower costs significantly.
The objection that irks me the most, though, is the one that basically admits to striking out before even getting up to bat: “I don’t know what I’d do with all of those readings anyway.” This approach disappoints me in many ways. First as physicians, we’re trained in the scientific method. We’re supposed to be curious, to think about novel ways of providing care and above all, ways to improve care. Yet, some health care providers feel completely at ease that a disease as significant as hypertension can be adequately assessed by taking a few readings in the doctor’s office once or twice a year. Maybe that made sense when the sphygmomanometer (aka blood pressure cuff) was first invented. But now that these devices are ubiquitous and can be purchased in every drug store, why would we not want to take advantage of the extra data points from home readings? We made the leap for glucometers decades ago.
Chapter 5 in my new book, The Internet of Healthy Things, outlines what I call ‘the new white coat anxiety’ — the myriad concerns and changes taking place in health care today that is causing providers angst. Chief among them is apprehension to change. Change is coming from all sides: shifting payment models, changing from face-to-face interactions to virtual care, a lack of awareness about personal connected health trackers and real anxiety over what to do with all of this data.
My friend Dr. Steve Ommen, Associate Dean at the Center for Connected Care at the Mayo Clinic in Rochester, MN, told me when I interviewed him for my book: “Providers will come to see that incorporating connected care into clinical practice will be of benefit to both their practice and their patients, but it’s not the way we’ve all been trained to practice medicine for 150 years.”
Many don’t realize that when Laennec introduced the stethoscope it was ridiculed. In fact, it took 20 years for it to be accepted as a standard tool for clinical practice. The analogy may be apt, but we don’t have 20 years to wait for health care providers to embrace patient generated data. As we embrace the world of value-based provider compensation, it is imperative that we look at collecting information from and about our patients differently.
How do you think we will be able to help providers embrace patient generated data and accelerate the adoption of connected health?