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E-Patient Update:  You Need Our Help

Posted on January 20, 2017 I Written By

Anne Zieger is a healthcare journalist who has written about the industry for 30 years. Her work has appeared in all of the leading healthcare industry publications, and she's served as editor in chief of several healthcare B2B sites.

I just read the results of a survey by Black Book Research suggesting that many typical consumers don’t trust, like or understand health IT.

The survey, which reached out to 12,090 adult consumers in September 2016, found that 57% of those interacting with health IT at hospitals or medical practices were skeptical of its benefit. Worse, 87% said they weren’t willing to share all of their information.

Up to 70% of consumers reported that they distrusted patient portals, medical apps and EMRs. Meanwhile, while many respondents said they were interested in using health trackers, 94% said that their physicians weren’t willing or able to synch wearables data with their EMR.

On the surface, these stats are discouraging. At a minimum, they suggest that getting patients and doctors on the same page about health IT continues to be an uphill battle. But there’s a powerful tactic providers can use which – to my knowledge – hasn’t been tried with consumers.

Introducing the consumer health IT champion

As you probably know, many providers have recruited physician or nurse “champions” to help their peers understand and adjust to EMRs. I’m sure this tactic hasn’t worked perfectly for everyone who’s tried it, but it seems to have an impact. And why not? Most people are far more comfortable learning something new from someone who understands their work and shares their concerns.

The thing is, few if any providers are taking the same approach in rolling out consumer health IT. But they certainly could. I’d bet that there’s at least a few patients in every population who like, use and understand consumer health technologies, as well as having at least a sense of why providers are adopting back-end technology like EMRs. And we know how to get Great-Aunt Mildred to consider wearing a FitBit or entering data into a portal.

So why not make us your health IT champions? After all, if you asked me to, say, hold a patient workshop explaining how I use these tools in my life, and why they matter, I’d jump at the chance. E-patients like myself are by our nature evangelists, and we’re happy to share our excitement if you give us a chance. Maybe you’d need to offer some HIT power users a stipend or a gift card, but I doubt it would take much to get one of us to share our interests.

It’s worth the effort

Of course, most people who read this will probably flinch a bit, as taking this on might seem like a big hassle. But consider the following:

  • Finding such people shouldn’t be too tough. For example, I talk about wearables, mobile health options and connected health often with my PCP, and my enthusiasm for them is a little hard to miss. I doubt I’m alone in this respect.
  • All it would take to get started is to get a few of us on board. Yes, providers may have to market such events to patients, offer them coffee and snacks when they attend, and perhaps spend time evaluating the results on the back end. But we’re not talking major investments here.
  • You can’t afford to have patients fear or reject IT categorically. As value-based care becomes the standard, you’ll need their cooperation to meet your goals, and that will almost certainly include access to patient-generated data from mobile apps and wearables. People like me can address their fears and demonstrate the benefits of these technologies without making them defensive.

I hope hospitals and medical practices take advantage of people like me soon. We’re waiting in the wings, and we truly want to see the public support health IT. Let’s work together!

IBM Watson Partners With FDA On Blockchain-Driven Health Sharing

Posted on January 16, 2017 I Written By

Anne Zieger is a healthcare journalist who has written about the industry for 30 years. Her work has appeared in all of the leading healthcare industry publications, and she's served as editor in chief of several healthcare B2B sites.

IBM Watson Health has partnered with the FDA in an effort to create scalable exchange of health data using blockchain technology. The two will research the exchange of owner-mediated data from a variety of clinical data sources, including EMRs, clinical trial data and genomic health data. The researchers will also incorporate data from mobiles, wearables and the Internet of Things.

The initial project planned for IBM Watson and the FDA will focus on oncology-related data. This makes sense, given that cancer treatment involves complex communication between multispecialty care teams, transitions between treatment phases, and potentially, the need to access research and genomic data for personalized drug therapy. In other words, managing the communication of oncology data is a task fit for Watson’s big brain, which can read 200 million pages of text in 3 seconds.

Under the partnership, IBM and the FDA plan to explore how the blockchain framework can benefit public health by supporting information exchange use cases across varied data types, including both clinical trials and real-world data. They also plan to look at new ways to leverage the massive volumes of diverse data generated by biomedical and healthcare organizations. IBM and the FDA have signed a two-year agreement, but they expect to share initial findings this year.

The partnership comes as IBM works to expand its commercial blockchain efforts, including initiatives not only in healthcare, but also in financial services, supply chains, IoT, risk management and digital rights management. Big Blue argues that blockchain networks will spur “dramatic change” for all of these industries, but clearly has a special interest in healthcare.  According to IBM, Watson Health’s technology can access the 80% of unstructured health data invisible to most systems, which is clearly a revolution in the making if the tech giant can follow through on its potential.

According to Scott Lundstrom, group vice president and general manager of IDC Government and Health Insights, blockchain may solve some of the healthcare industry’s biggest data management challenges, including a distributed, immutable patient record which can be secured and shared, s. In fact, this idea – building a distributed, blockchain-based EMR — seems to be gaining traction among most health IT thinkers.

As readers may know, I’m neither an engineer nor a software developer, so I’m not qualified to judge how mature blockchain technologies are today, but I have to say I’m a bit concerned about the rush to adopt it nonetheless.  Even companies with a lot at stake  — like this one, which sells a cloud platform backed by blockchain tech — suggest that the race to adopt it may be a bit premature.

I’ve been watching tech fashions come and go for 25 years, and they follow a predictable pattern. Or rather, they usually follow two paths. Go down one, and the players who are hot for a technology put so much time and money into it that they force-bake it into success. (Think, for example, the ERP revolution.) Go down the other road, however, and the new technology crumbles in a haze of bad results and lost investments. Let’s hope we go down the former, for everyone’s sake.

Patient Engagement Platforms Are 2017’s Sexiest Tech

Posted on January 3, 2017 I Written By

Anne Zieger is a healthcare journalist who has written about the industry for 30 years. Her work has appeared in all of the leading healthcare industry publications, and she's served as editor in chief of several healthcare B2B sites.

Over the last few months, I’ve become convinced that the predictable star of 2017 — population health management — isn’t going to be as hot as people think.

Instead, I’d argue that the trend to watch is the emergence of new technologies that guide, reach out to and engage with patients at key moments in their care process. We’re at the start of a period of spectacular growth for patient engagement platforms, with one analyst firm predicting that the global market for these solutions will hit $34.94 billion by 2023.

We all seem to agree already that we need to foster patient engagement if we want to meet population health goals. But until recently, most of the approaches I’ve seen put in place are manual, laborious and resource-intensive. Yes, the patient portal is an exception to that rule – and seems to help patients and clinicians connect – but there’s only so much you can do with a portal interface. We need more powerful, flexible solutions if we hope to make a dent in the patient engagement problem.

In the coming year, I think we’ll see a growing number of providers adopt technology that helps them interact and engage with patients more effectively. I’m talking about initiatives like the rollout of technology by vendor HealthGrid at ColumbiaDoctors, a large multispecialty group affiliated with Columbia University Medical Center, which was announced last month.

While I haven’t used the technology first hand, it seems to offer the right functions, all available via mobile phone. These include pre- and post-visit communications, access to care information and a clinically-based rules engine which drives outreach regarding appointments, educations, medications and screening. That being said, HealthGrid definitely has some powerful competitors coming at the same problem, including the Salesforce.com Health Cloud.

Truth be told, it was probably inevitable that vendors would turn up to automate key patient outreach efforts. After all, unless providers boost their ability to target patients’ individual needs – ideally, without hiring lots of costly human care managers – they aren’t likely to do well under value-based payment schemes. One-off experiments with mobile apps or one-by-one interventions by nurse care coordinators simply don’t scale.

Of course, these technologies are probably pretty expensive right now – as new tech in an emerging market usually is — which will probably slow adoption somewhat. I admit that when I did a Google search on “patient engagement solutions,” I ran into a vendor touting a $399 a month option for doctors, which isn’t too bad if it can actually deliver. But enterprise solutions are likely to be a big investment, and also, call for a good deal of integration work. After all, if nothing else, health systems will want to connect patient engagement software to their back-office systems and EMR, at minimum, which is no joke.

Still, to my mind there’s little question that patient engagement technologies are going to be the sexiest health IT niche to watch in 2017, one which will generate major buzz in healthcare boardrooms across the country. Whether you invest or not, definitely watch this space.

Connected Wearables Pose Growing Privacy, Security Risks

Posted on December 26, 2016 I Written By

Anne Zieger is a healthcare journalist who has written about the industry for 30 years. Her work has appeared in all of the leading healthcare industry publications, and she's served as editor in chief of several healthcare B2B sites.

In the past, the healthcare industry treated wearables as irrelevant, distracting or worse. But over that last year or two, things have changed, with most health IT leaders concluding that wearables data has a place in their data strategies, at least in the aggregate.

The problem is, we’re making the transition to wearable data collection so quickly that some important privacy and security issues aren’t being addressed, according to a new report by American University and the Center for Digital Democracy. The report, Health Wearable Devices in the Big Data Era: Ensuring Privacy, Security, and Consumer Protection, concludes that the “weak and fragmented” patchwork of state and federal health privacy regulations doesn’t really address the problems created by wearables.

The researchers note that as smart watches, wearable health trackers, sensor-laden clothing and other monitoring technology get connected and sucked into the health data pool, the data is going places the users might not have expected. And they see this as a bit sinister. From the accompanying press release:

Many of these devices are already being integrated into a growing Big Data digital health and marketing ecosystem, which is focused on gathering and monetizing personal and health data in order to influence consumer behavior.”

According to the authors, it’s high time to develop a comprehensive approach to health privacy and consumer protection, given the increasing importance of Big Data and the Internet of Things. If safeguards aren’t put in place, patients could face serious privacy and security risks, including “discrimination and other harms,” according to American University professor Kathryn Montgomery.

If regulators don’t act quickly, they could miss a critical window of opportunity, she suggested. “The connected health system is still in an early, fluid stage of development,” Montgomery said in a prepared statement. “There is an urgent need to build meaningful, effective, and enforceable safeguards into its foundation.”

The researchers also offer guidance for policymakers who are ready to take up this challenge. They include creating clear, enforceable standards for both collection and use of information; formal processes for assessing the benefits and risks of data use; and stronger regulation of direct-to-consumer marketing by pharmas.

Now readers, I imagine some of you are feeling that I’m pointing all of this out to the wrong audience. And yes, there’s little doubt that the researchers are most worried about consumer marketing practices that fall far outside of your scope.

That being said, just because providers have different motives than the pharmas when they collect data – largely to better treat health problems or improve health behavior – doesn’t mean that you aren’t going to make mistakes here. If nothing else, the line between leveraging data to help people and using it to get your way is clearer in theory than in practice.

You may think that you’d never do anything unethical or violate anyone’s privacy, and maybe that’s true, but it doesn’t hurt to consider possible harms that can occur from collecting a massive pool of data. Nobody can afford to get complacent about the downside privacy and security risks involved. Plus, don’t think the nefarious and somewhat nefarious healthcare data aggregators aren’t coming after provider stored health data as well.

Columbia-Affiliated Physician Group Plans Rollout Of Mobile Engagement Platform

Posted on December 15, 2016 I Written By

Anne Zieger is a healthcare journalist who has written about the industry for 30 years. Her work has appeared in all of the leading healthcare industry publications, and she's served as editor in chief of several healthcare B2B sites.

A massive multispecialty medical practice associated with Columbia University has decided to implement a mobile patient engagement platform, as part of a larger strategy aimed at boosting patient satisfaction and ease of access to care.

The vendor behind the technology, HealthGrid, describes its platform as offering the physicians the ability to “provide actionable care coordination, access to critical health information and to enable [patient] self-care management.” HealthGrid also says that its platform will help the group comply with the requirements of Meaningful Use and MIPS.

The group, ColumbiaDoctors, includes more than 1,700 physicians, surgeons, dentists and nurses, and offers more than 230 specialty and subspecialty areas of care. All of the group’s clinicians are affiliated with New York-Presbyterian hospital and serve as faculty at Columbia University Medical Center.

The group is investing heavily in making its services more accessible and patient-friendly. In April, for example, ColumbiaDoctors agreed to roll out the DocASAP platform, which is designed to offer patients advanced online scheduling capabilities, including features allowing patients to find and book patients via mobile and desktop channels, tools helping patients find the best provider for their needs and analytics tools for business process improvement.

HealthGrid, for its part, describes itself as a CRM platform whose goal is to “meet patients where they are.” The vendor has developed a rules engine, based on clinical protocols, that connects with patients at key points in the care process. This includes reaching out to patients regarding needed appointments, education, medications and screening, both before and after they get care. The system also allows patients to pay their co-pays via mobile channels.

Its other features include automated mobile check-in – with demographic information auto-populated from the EMR – which patients can update from their mobile phones. The platform allows patients to read, update and sign off on forms such as HIPAA documentation and health information using any device.

While I’d never heard of HealthGrid before, it sounds like it has all the right ideas in place for consumer engagement. Clearly it impressed ColumbiaDoctors, which must be spending a fair amount on its latest addition. I’m sure the group’s leaders feel that if it increases patient alignment with treatment goals and improves the condition of the population it serves, they’ll come out ahead.

But the truth is, I don’t think anyone knows yet whether health organizations can meet big population health goals by interacting more with patients or spending more time in dusty back rooms fussing over big data analytics. To be sure, if you have enough money to spend they can both reach out directly to patients and invest heavily in next-generation big data infrastructure. However, my instinct is that very few institutions can focus on both simultaneously.

Without a doubt, sophisticated health IT leaders know that it pays to take smart chances, and ColumbiaDoctors is probably wise to pick its spot rather than play catch-up. Still, it’s a big risk as well. I’ll be most eager to see whether tools like HealthGrid actually impact patients enough to be worth the expense.

Can Interoperability Drive Value-Based Care?

Posted on December 14, 2016 I Written By

Anne Zieger is a healthcare journalist who has written about the industry for 30 years. Her work has appeared in all of the leading healthcare industry publications, and she's served as editor in chief of several healthcare B2B sites.

As the drive to interoperability has evolved over the last few decades — and those of you who are HIT veterans know that these concerns go at least that far back — open data sharing has gone from being a “nice to have” to a presumed necessity for providing appropriate care.

And along the way, backers of interoperability efforts have expanded their goals. While the need to support coordinated care has always been a basis for the discussion, today the assumption is that value-based care simply isn’t possible without data interoperability between providers.

I don’t disagree with the premise. However, I believe that many providers, health systems and ACOs have significant work to do before they can truly benefit from interoperability. In fact, we may be putting the cart before the horse in this case.

A fragmented system

At present, our health system is straining to meet the demand for care coordination among the populations it serves. That may be in part because the level of chronic illness in the US is particularly high. According to one Health Affairs study, two out of three Americans will have a chronic condition by the year 2030. Add that to the need to care for patients with episodic care needs and the problem becomes staggering.

While some health organizations, particularly integrated systems like the Cleveland Clinic and staff-model managed care plans like Kaiser Permanente, plan for and execute well on care coordination, most others have too many siloes in place to do the job correctly. Though many health systems have installed enterprise EMRs like Epic and Cerner, and share data effectively while the patient remains down in their system, they may do very little to integrate information from community providers, pharmacies, laboratories or diagnostic imaging centers.

I have no doubt that when needed, individual providers collect records from these community organizations. But collecting records on the fly is no substitute for following patients in a comprehensive way.

New models required

Given this history, I’d argue that many health systems simply aren’t ready to take full advantage of freely shared health data today, much less under value-based care payment models of the future.

Before they can use interoperable data effectively, provider organizations will need to integrate outside data into their workflow. They’ll need to put procedures in place on how care coordination works in their environment. This will include not only deciding who integrates of outside data and how, but also how organizations will respond as a whole.

For example, hospitals and clinics will need to figure out who handles care coordination tasks, how many resources to pour into this effort, how this care coordination effort fits into the larger population health strategy and how to measure whether they are succeeding or failing in their care coordination efforts. None of these are trivial tasks, and the questions they raise won’t be answered overnight.

In other words, even if we achieved full interoperability across our health system tomorrow, providers wouldn’t necessarily be able to leverage it right away. In other words, unfettered health data sharing won’t necessarily help providers win at value-based care, at least not right away. In fact, I’d argue that it’s dangerous to act as though interoperability can magically make this happen. Even if full interoperability is necessary, it’s not sufficient. (And of course, even getting there seems like a quixotic goal to some, including myself.)

Planning ahead

That being said, health organizations probably do have time to get their act together on this front. The move to value-based care is happening quickly, but not at light speed, so they do have time to make plans to leverage interoperable health data.

But unless they acknowledge the weaknesses of their current system, which in many cases is myopic, siloed and rigid, interoperability may do little to advance their long-term goals. They’ll have to admit that their current systems are far too inward-looking, and that the problem will only go away if they take responsibility for fixing it.

Otherwise, even full interoperability may do little to advance value-based care. After all, all the data in the world won’t change anything on its own.

Vendor Study Says Wearables Can Promote Healthy Behavior Change

Posted on November 28, 2016 I Written By

Anne Zieger is a healthcare journalist who has written about the industry for 30 years. Her work has appeared in all of the leading healthcare industry publications, and she's served as editor in chief of several healthcare B2B sites.

A new study backed by a company that makes an enterprise health benefits platform has concluded that wearables can encourage healthy behavior change, and also, serve as an effective tool to engage employees in their health.

The data from the study, which was sponsored by Mountain View, CA-based Jiff, comes from a two-year research project on employer-sponsored wearables. Rajiv Leventhal, who wrote about the study for Healthcare Informatics, argues that these findings challenge common employer beliefs about these type of programs, including that participation is typically limited to young and healthy employees, and that engagement with these rules can’t be sustained over time.

The data, which was drawn from 14 large employers with 240,000 employees, apparently suggests that wearable adoption and long-term engagement is possible for employees of all ages. The company reported that among the employers offered the wearables program via its enterprise health platform, 53% of employees under 40 years old participated, and 36% of employees over 50 years participated as well.

Jiff researchers also found that employee engagement had not measurably fallen for more than nine months following the program rollout, and that for one employer, levels of engagement have been progressively increasing for more than 18 months, the company reported.

According to Jiff, they have helped sustain employee engagement by employing three tactics:  Using “challenges,” time-bound immersive and social games that encourage healthy actions, “device credits,” subsidies that offset the cost of purchasing wearables and “behavioral incentives,” rewards for taking healthy actions such as walking a minimum number of steps per day.

The thing is, as interesting as these numbers might be — and they do, if nothing else, underscore the role of engaging consumers rather than waiting for them to engage with healthier behaviors on their own — the story doesn’t address one absolutely crucial issue, to wit, what concrete health impact are companies seeing from employee use of these devices.

I don’t think I’m asking for too much here when I demand some quantitative data suggesting that the setup can actually achieve measurable health results. Everything I’ve read about employee wellness initiatives to date suggests that they’ve been a giant bust, with few if any accomplishing anything measurable.

And here we have Jiff, a venture-backed hotshot company, which I’m guessing had the resources to report on results if it found any. After all, if I understand the study right, with their researchers had access to 540,000 employees for significant amount of time.  So where are the health conclusions that can be drawn from this population?

And by the way, no, I don’t accept that patient engagement (no matter how genuine) can be used as a proxy or predictive factor for health improvement. It’s a promising step in the right direction but it isn’t the real thing yet.

So, I shared the study with you because I thought you might find it interesting. I did. But I wouldn’t take it too seriously when it comes to signs of real change — either for wearables used for employee wellness initiatives. At this point both are more smoke than substance.

What Would A Community Care Plan Look Like?

Posted on November 16, 2016 I Written By

Anne Zieger is a healthcare journalist who has written about the industry for 30 years. Her work has appeared in all of the leading healthcare industry publications, and she's served as editor in chief of several healthcare B2B sites.

Recently, I wrote an article about the benefits of a longitudinal patient record and community care plan to patient care. I picked up the idea from a piece by an Orion Health exec touting the benefits of these models. Interestingly, I couldn’t find a specific definition for a community care plan in the article — nor could I dig anything up after doing a Google search — but I think the idea is worth exploring nonetheless.

Presumably, if we had a community care plan in place for each patient, it would have interlocking patient-specific and population health-level elements to it. (To my knowledge, current population health models don’t do this.) Rather than simply handing patients off from one provider to another, in the hope that the rare patient-centered medical home could manage their care effectively on its own, it might set care goals for each patient as part of the larger community strategy.

With such a community care strategy, groups of providers would have a better idea where to allocate resources. It would simultaneously meet the goals of traditional medical referral patterns, in which clinicians consult with one another on strategy, and help them decide who to hire (such as a nurse-practitioner to serve patient clusters with higher levels of need).

As I envision it, a community care plan would raise the stakes for everyone involved in the care process. Right now, for example, if a primary care doctor refers a patient to a podiatrist, on a practical level the issue of whether the patient can walk pain-free is not the PCP’s problem. But in a community-based care plan, which help all of the individual actors be accountable, that podiatrist couldn’t just examine the patient, do whatever they did and punt. They might even be held to quantitative goals, if the they were appropriate to the situation.

I also envision a community care plan as involving a higher level of direct collaboration between providers. Sure, providers and specialists coordinate care across the community, minimally, but they rarely talk to each other, and unless they work for the same practice or health system virtually never collaborate beyond sharing care documentation. And to be fair, why should they? As the system exists today, they have little practical or even clinical incentive to get in the weeds with complex individual patients and look at their future. But if they had the right kind of community care plan in place for the population, this would become more necessary.

Of course, I’ve left the trickiest part of this for last. This system I’ve outlined, basically a slight twist on existing population health models, won’t work unless we develop new methods for sharing data collaboratively — and for reasons I be glad to go into elsewhere, I’m not bullish about anything I’ve seen. But as our understanding of what we need to get done evolves, perhaps the technology will follow. A girl can hope.

HealthTap Announces a Comprehensive Health App Platform

Posted on November 10, 2016 I Written By

Andy Oram is an editor at O'Reilly Media, a highly respected book publisher and technology information provider. An employee of the company since 1992, Andy currently specializes in open source, software engineering, and health IT, but his editorial output has ranged from a legal guide covering intellectual property to a graphic novel about teenage hackers. His articles have appeared often on EMR & EHR and other blogs in the health IT space. Andy also writes often for O'Reilly's Radar site (http://oreilly.com/) and other publications on policy issues related to the Internet and on trends affecting technical innovation and its effects on society. Print publications where his work has appeared include The Economist, Communications of the ACM, Copyright World, the Journal of Information Technology & Politics, Vanguardia Dossier, and Internet Law and Business. Conferences where he has presented talks include O'Reilly's Open Source Convention, FISL (Brazil), FOSDEM, and DebConf.

For the past five years, HealthTap has been building a network of doctors and patients who exchange information and advice through information forums, messaging, video teleconferencing, and other integrated services. According to CEO Ron Gutman, all that platform building has taught them a lot about what health app developers need–knowledge that they’ve expanded by listening to hospitals and third-party app developers over the years. On Tuesday, November 1, HealthTap announced a comprehensive cloud platform pulling together all these ideas. The features in the press release read like a wish list from health app developers:

  • Text, voice, and video messaging

  • Telemedicine

  • Population health

  • Predictive modeling

  • Device input and other patient-generated data

  • Handling clinical data from electronic health records

  • Aggregated data on patient groups, such as the frequency of concepts in the population

  • The ability to view timelines on patients

  • Searchable content from the huge library of clinical advice posted to HealthTap by its roster of more than 100,000 doctors

  • Identity management, so that patients and clinicians can verify who they are and connect securely

  • Customer relationship management through messaging

Many of the APIs covering these topics are covered in the developer documentation, and others are available by application from qualified developers.

Gutman told me that three to four years of work went into this platform, and that he hopes it can reduce the multi-year developments efforts his team had to deal with to just weeks for other developers hoping to innovate in the health care field. Transparency is promoted as a key value, because the developer terms required developers to “Clearly inform users what data you collect (with their consent) as well as and how you use the data you collect or that we (HealthTap) provides to you.” Even so, some items are restricted even more, such as adherence data and health goals.

In addition to RESTful APIs, the platform has SDKs for iOS, Android, and JavasScript. CTO Sastry Nanduri says that these SDKs permit apps to incorporate some workflows, such as making virtual appointments. His philosophy is that, “We do the work and make it easy for the developers.”

HealthTap has created its own formats and APIs instead of using existing standards such as the Open mHealth defined for medical devices (described in another article). A diversity of formats may make adoption harder. But the platform does harmonize diverse data from different sources into predictable formats, so that things such as blood glucose and body weight are shown in fixed units. Nanduri points out that most of their work has not been done by other organizations in an open, API format.

In any case, central to HealthTap’s goals and efforts is the sharing of data among organizations. If Partners Healthcare or Kaiser Permanente can open their data through HealthTap’s APIs, it can all be combined with the aggregated data from millions of records HealthTap has built up over time.

Offering this platform in HealthTap’s cloud gives it many advantages. Foremost is the enormous data repository of both patients and content served up by the platform. Second, identity management is automatically provided through the secure and robust platform HealthTap has always used for signing up patients and clinicians. Clinicians are carefully validated. Theoretically, a developer could also use an independent means of authenticating patients, so that someone can use apps built on the platform without a HealthTap account.

They are also exploring a blockchain solution for tracking permissions and contracts.

The proof of this huge undertaking will be in its adoption. I’m sure HealthTap’s partners and many other organizations will play with the platform and try to bring apps to life through it, either for internal use or for widespread distribution. Nanduri says that they are ramping up carefully, reviewing applications one by one, and will talk to each of their early developers to find out their goals and offer guidance to creating a successful app. Time will tell whether HealthTap has, as Gutman says, created the platform their developers wish they had when they started the company.

Health Plans Need Big Data Smarts To Prove Their Value

Posted on November 2, 2016 I Written By

Anne Zieger is a healthcare journalist who has written about the industry for 30 years. Her work has appeared in all of the leading healthcare industry publications, and she's served as editor in chief of several healthcare B2B sites.

Recently, Aetna cut a deal which suggests a new role for health insurers in big data analytics and population health management. In partnership with Merck, the health insurer is launching a new program using predictive analytics to identify target populations and provide them with health and wellness services. AetnaCare will start by targeting patients with diabetes and hypertension in the mid-Atlantic U.S., but it seems likely to go national soon.

In its press release on the matter, Aetna says the goal of the program is to “proactively curate various health and wellness services… to support treatment adherence, ensure that critical social support needs are met, and reinforce healthy lifestyle behaviors.” That in and of itself isn’t a big deal. We all know that these are goals shared by providers, employers and health plans, and that most of the efforts health plans make on this front are pie in the sky, half-baked initiatives featuring cutesy graphics and little substance.

But then, Aetna’s chief medical officer gives away the real goal here — to power this effort by analyzing patient data being spun out by patients in varied care settings.  In the release, Dr. Harold Paz notes that patients are getting care in a wide variety of settings, including retail clinics, healthcare devices, pharmaceutical services, behavioral health, and social services, and that these services are seldom coordinated well, and implies that this is the real problem Aetna must solve.

If you listen to this with the ears of a health IT chick like myself, you hear Aetna (and Merck, actually) admitting that they must engage in predictive analytics across all of these encounters – and eventually, use these insights to help patients make good healthcare choices. In other words, they have to think like providers and even offer provider-like services fulfill their mission. And that means competing with or even beating providers at the big data game.

The truth is, health plans are in the same boat as providers, in that they’re at the center of a hailstorm of data and struggling with how to make use of it. Also, like providers they’re facing pressure from health purchasers to slow healthcare cost growth and boost patient wellness. But I’d argue that they’re even less prepared, technically and culturally, to improve health or coordinate care. So jumping in now is critically important.

In fact, I’d argue that health insurers are under greater pressure to improve population health than even sophisticated health systems or ACOs. Why? Because while health systems and ACOs can point to what they do – they make people better, for heaven’s sake — insurance companies are the eternal middleman who must continue to prove that they add value to the healthcare equation.

It remains to be seen whether programs like AetnaCare succeed at helping patients find the resources they need to improve and maintain their health. But even if this concept doesn’t work out, others will follow. Health plans need to leverage their unique data set to boost quality and reduce costs. Otherwise, as providers learn to work under value-based payments and accept risk, employers will have increasingly good reasons to contract directly — and leave the insurance industry out of the game entirely.