On Episode 61 of Health in 2 Point 00, Jess and I are still in Tokyo—but this time we’re reporting from a famous whiskey bar. In this episode, Jess asks me about the most important takeaways from Health 2.0 Asia-Japan and the growing health tech market there. We also have two special guest stars today: Yuuri Ueda, the director of Health 2.0 Asia-Japan, tells us how loosening government regulations are opening up opportunities for more and more startups to break into telemedicine, and Fred Trotter explains how Japanese startups can learn from the U.S. in terms of data security and privacy. All this in (exactly) two minutes.
There’s so much more from Health 2.0 Asia-Japan that you all need to see, so keep an eye out on THCB for my three-point takeaway from the conference and be sure to watch Jess’s WTF Health interviews to hear from amazing people in the Asian health tech community —Matthew Holt.
Today I’m happy to release an update to some unique data about a pressing problem–the ability of small health tech vendors to access data from the major EMR vendors and integrate their applications into those EMRs. For those of you following along, in 2016 when Health 2.0 first ran this EMR API survey, we confirmed the notion that it’s hard for small health technology companies to integrate with the EMR vendors. Since then the two biggest vendors, Epic & Cerner, have been much more aggressive about supporting third party vendors, with both creating app stores/partnership programs and embracing FHIR & SMART on FHIR.
In 2018, we conducted a follow-up survey to see if these same issues persisted and how much progress has been made. In this report, we break down the results of the 2018 survey and compare them to the results of our 2016 survey. As in 2016, survey response rates weren’t great, but in this year’s survey we asked a lot more questions regarding app store programs, specific resources accessed, troubling contract terms and much more. And if you look at the accompanying slides, we also pulled some juicy quotes.
The key message: In 2016 we said this, The complaint is true: it’s hard for smaller health tech companies to integrate their solutions with big EMR vendors. Most EMR vendors don’t make it easy. But it’s a false picture to say that it’s all the EMR vendors’ fault, and it’s also true that there is great variety not only between the major EMR vendors but also in the experience of different smaller tech companies dealing with the same EMR vendor.
In 2018, things are better but not yet good. A combination of government prodding (partly from ONC implementing the 21st Century Cures Act, partly in the continued growth of pay for value programs from CMS), fear of Apple/Google/Amazon, genuine internal sentiment changes at least at one vendor (Cerner), and maturity in dealing with smaller applications vendors from three others (Allscripts, Athenahealth, Epic), and the growth of third party integration vendors like Redox and Sansoro, is making it easier for application vendors to integrate with EMRs. But it’s not yet in any way simple. We are a long way from the all-singing, all-dancing, plug-in interoperability we hoped for back in the day. But the survey suggests that we are inching closer. Of course, “inching” may not be the pace some of us were hoping to move at.
All the data is in the embedded slide set below, with much more commentary below the fold.
Catalyst @ Health 2.0 is proud to have worked with the Robert Wood Johnson Foundation to address issues in substance misuse and artificial intelligence through two exciting innovation challenges. Following the finalists’ live pitches at the Health 2.0 Annual Conference, Matthew Holt and Indu Subaiya had the pleasure to interview leaders from the six companies that placed in the top spots across both competitions.
First Place Winners
RWJF Opioid Challenge: the Grand Prize award went to Sober Grid, a social network designed to support, assist, and educate those suffering from addiction and substance misuse. The Sober Grid platform incorporates a suite of geolocated support, a “burning desire” distress beacon, and coaching tools. For those looking to get help and support, the Sober Grid platform is a fantastic free utility.
RWJF AI Challenge: the Grand Prize award went toBuoy, a virtual triage chatbot designed to work on any browser. All too often we rely on quick online searches for health information and sometimes receive inaccurate or unreliable results. The Buoy system takes a more conversational approach and emulates similar techniques a doctor would use when diagnosing symptoms and speaking with a patient.
Second and Third place prizes were also awarded to the following organizations:
As you’ve probably heard (enough!) from me and Indu Subaiya over recent months on video, at Health 2.0 or here on THCB, we are finally arriving at the point where health care tech is “flipping the stack” — where we realize that we can’t practice the old way, and instead need to move the care of the chronically ill to an always on, always monitoring, always measuring, always messaging tech platform.
But we need to figure out a way to both create that platform and the services for the people who need help–without overwhelming them. Too often we are putting too much technology into patients’ and clinicians’ lives and creating too much noise. While I’ve been aping Bob Wachter calling for an air traffic control function in health care, one of the most interesting new companies in health tech/services, Livongo, has been working on a related idea. They’ve been promoting it by looking to #SilenceNoisyHealthCare on Twitter and Linkedin recently
Tuesday 30th at 1 ET – 10 PT I’m hosting a webinar with Livongo’s CEO Glen Tullman & & Chief Medical Officer Jennifer Schneider, M.D. Jessica DaMassa tweeted that Glen and I are in a cage match, and it is an Oxford v Cambridge affair (although Jennifer brings some Stanford & Hopkins class to the proceedings).
But what’s really going on is that Livongo is adopting a new philosophy that they think will silence the noise and fix the patient experience. What do they mean by that? Join me on the webinar to learn more.
The New York City Economic Development Corporation andCatalyst @ Health 2.0 are thrilled to announce another round of Digital Health Marketplace matchmaking coming up on December 5th! Since 2013, the Digital Health Marketplace has connected digital health “Sellers” offering technology solutions to a diverse range of healthcare “Buyers” or institutions looking for tech-enabled solutions and partnerships. At the center of the Digital Health Marketplace is the successful curation of needs and solutions that lead to the development of commercialization and the rapid adoption of new health technologies. If you are an early stage startup looking for relevant pilot/commercial partners or a healthcare organization interested in adopting leading technologies, apply for your opportunity to be matched with relevant partners for one-on-one, in-person sales meetings.
Jessica DaMassa asks me about what I saw at Techcrunch Distrupt, Clarify Health Solutions’s $57m round, what Wellth will do with its $5m & a whole lot about next weeks Health 2.0 Conference–Matthew Holt
Another one of my favorites, although this one is much more recent than those published so far–dating back to only March 2015. It was the written version of a talk I gave in September 2014 following the birth of my son Aero on August 26, 2014. So if we are discussing birthdays (and re-posting classics as, yes, it’s still THCB’s 15th birthday week!) we might as well have one that is literally about the confluence of a birthday and the state of health IT, health business, care for the underserved and much more!
I want to put this essay in the context of my day job as co-chairman of Health 2.0, where I look at and showcase new technologies in health. We have a three part definition for what we call Health 2.0. First, they must be adaptable technologies in health care, where one technology plugs into another easily using accessible APIs without a lot of rework and data moves between them. Second, we think a lot about the user experience, and over eight years we’ve been seeing tools with better and better user experiences–especially on the phone, iPad, and other screens. Finally, we think about using data to drive decisions and using data from all those devices to change and help us make decisions.
This is the Cal Pacific Medical Center up in San Francisco. The purple arrow on the left points to the door of the emergency entrance.
Cal Pacific is at the end of that big red arrow on the next photo. On that map there’s also a blue line which is my effort to add some social commentary. To the top left of that blue line in San Francisco is where the rich people live, and on the bottom right is where the poor people live. Cal Pacific is right in the middle of the rich side of town, and it’s where San Francisco’s yuppies go to have their babies.
Last year, on August 26, 2014 at about 1 am to be precise, I drove into this entrance rather fast. My wife was next to me and within an hour, we were upstairs and out came Aero. He’s named Aero because his big sister was reading a book about Frankie the Frog who wanted to fly and he was very aerodynamic. So when said, “What should we call your little brother?” She said, “I want to call him Aerodynamic.” We said, “OK, if he comes out fast we’ll call him the aerodynamic flying baby.” So he’s called Aero for short.
Thus began the Quest for Intra-Aero-Bili-ty –a title I hope will grow on you. The Bili part will become obvious in a paragraph or two.
Something had changed since we had been at Cal Pacific three years earlier for the birth of Coco, our first child.
If you look carefully at the top of Amanda’s head, there’s now a computer system. Like most big provider systems, Sutter–Cal Pacific’s parent company–has installed Epic and it’s in every room or on a COW (cart on wheels). Essentially we have spent the last few years putting EMRs in all hospitals. This is the result of the $24+ billion the US taxpayer (well, the Chinese taxpayer to be more accurate) has spent since the 2010 rollout of the HITECH act.Continue reading…
Decision making is a daunting task. Combined with navigating health insurance jargon, scattered health information, and feeling crummy as you rush to find care during the onset of a cold, making decisions can be an absolute nightmare. However, artificial intelligence (AI) enabled tools have the potential to change the way we interact with and consume healthcare for the better. AI’s ability to comprehend, learn, optimize and act are keys to organizing the varying nuisances of the healthcare experience.
In a 2018 survey by Accenture, healthcare consumers indicated they would likely use AI for after hours care, support in navigating healthcare services, lifestyle advice, post-diagnosis management, etc. While AI in health is not limited to these functions, the report highlights consumers’ trouble in making informed healthcare decisions, hence this may be an area where AI can truly help.
If you have an innovative solution that addresses Patient Engagement and Remote Monitoring, Bayer’s Dealmaker Challenge wants to hear from you! Apply here for a shot at collaborating with the Bayer G4A Digital Health Team and participating in Dealmaker Day, an exclusive matchmaking event, October 9th in Berlin.
What is healthcare without patients? For decades physicians have been a one-stop shop for diagnosis and treatment, a trusted source. And yet it’s only been in recent years that the entire healthcare industry has woken up to the notion that patients can and should have an active role in their healthcare and the decision making process. Patients may not have a medical education or clinical experience, but they do have a strong asset going for them: intimate knowledge of their bodies and access to information only they can provide. The rise of wearable technologies over the past decade has only increased patients ability to quantify their experiences, health and otherwise. Diet, exercise, daily habits, stress levels, family life, physical environment all contribute to an overall picture of health. Yet too often, clinicians only see a slice of their patients health picture – the picture that is presented during office visits. The increased importance of tracking lifestyle data has clinicians and technologists asking themselves, How do we unlock more information in order to make better decisions and deliver better care?
The field is called Patient Engagement. And while the industry has mutually agreed upon it’s critical importance, the question remains as to what it looks like.Continue reading…
As promised I’m going to be featuring more interesting companies I’m working with on THCB. Supportiv, which is launching today in beta (App store/Play) is a thoroughly modern answer to the problem of scaling peer support in mental health. It’s aimed in the space between the mediation apps like Headspace & Calm, and the online therapy services like AbleTo or Lantern. The target market is anyone feeling stress or wanting support in a quick and easy format–that’s basically everyone! Using the magic of NLP, those looking for support are steered into a chatroom where a trained moderator (usually a Masters student in psychology) making sure the experience is smooth. In its trials earlier this year of the 48,000 users, 96% reported improvement. The business model? It costs 15 cents a minute, or $4.50 for 30 mins (which is roughly the expected length of a session). There’s lots of science behind the idea that peer support works but to hear more Jessica DaMasssa interviewed the co-founders Pouria Mojabi & Helena Plater-Zyberk.