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5 Mobile Opportunities in Health Care

Posted on November 10, 2015 I Written By

John Lynn is the Founder of the blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of and John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

I was recently reading through this whitepaper called Going Mobile: Integrating Mobile to Enhance Patient Care and Practice Efficiency. The concept is lovely, but I’m afraid that most healthcare IT has fallen short of the mobile promise. We see the benefits of mobile in so many other aspects of our lives, but we’ve fallen short in delivering that same benefit in health care.

The good part is that the opportunity is still available for health care to benefit from mobile technology. So, even if the whitepaper might be talking about potential rather than the reality of what’s available today, it’s worth considering why more EHR vendors and other health care IT companies should invest in mobile.

The whitepaper offers 5 opportunities for mobile:

  • Clinical Decision Support – The first iteration of this was Epocrates. It was mostly information, but that’s where clinical decision support starts. Hopefully we’ll see rapid advancement in this area. Mobile makes that clinical decision support easily available at the point of care.
  • Workflow Efficiencies – It’s unfortunate that we haven’t realized this benefit. Mobile can really make things more efficient if we create the right interface. I just have seen so few EHR vendors invest in the right mobile interface to take advantage of these efficiencies.
  • Communication and Coordination – We’re starting to see this happen with services like secure text message. You’d think we’d need something more, but secure text message is a great place to start. It’s easily learned, completely malleable to any workflow, and easily implemented. Over time I’m sure we’ll find even better ways to communicate and coordinate care on mobile.
  • Patient Engagement – One of my favorite stats is that 98% of text messages get read. Plus, they get read almost immediately. Compare that to email and you’ll see why mobile is such an opportunity to engage the patient. We’re seeing more and more of these offerings on the market.
  • Security – Some might consider this a challenge, but I think it’s also an opportunity. Ever heard of 2 factor authentication. Your mobile device is perfect for it and provides a much more secure login. Certainly there are security challenges with mobile devices as well, but it can also be used as a great opportunity to improve how we approach security.

Be sure to check out the whitepaper where they dive a lot deeper into each of these subjects. Like I said, the benefits of mobile have not been really realized in health care, but that opportunity is still available.

Could a Virtual Scribe Solve EHR Usability Problems?

Posted on October 26, 2015 I Written By

When Carl Bergman isn't rooting for the Washington Nationals or searching for a Steeler bar, he’s Managing Partner of, a free service for matching users and EHRs. For the last dozen years, he’s concentrated on EHR consulting and writing. He spent the 80s and 90s as an itinerant project manger doing his small part for the dot com bubble. Prior to that, Bergman served a ten year stretch in the District of Columbia government as a policy and fiscal analyst.

Jibo: A Home Robot Promises a New Level of AI Use

I ran across a new, five pound, home robot called Jibo in an IEEE publication my wife gets. Jibo, whose first planned product run has sold out at $750 each, promises to ship this Spring. It bills itself as the first social robot.

Started as an INDIEGOGO project that banked close to $4 million, Jibo recently added $36 million from investors.  Its technology smarts come from its founder, chief scientist and MIT Associate Professor, Dr. Cynthia Breazeal.
Jibo’s driven by an ambition to bring artificial intelligence capabilities to the home market. Though it’s not mobile, it’s touch sensitive, gesture sensing and can dip and swivel 360 degrees to capture events. Jibo’s natural language processing uses two high res cameras to recognize faces, do your selfies and run video calls.

Dr. Cynthia Breazeal and Friend

Dr. Cynthia Breazeal and Friend

With these capabilities, Jibo is far smarter than smart thermometers, vacuum cleaners or security systems. It’ll use these to learn your phrases and gestures, so it can act as your calendar, inbox, media organizer and general personal assistant. Importantly, Jibo has a significant, developer program. That’s what gave me the idea for a virtual scribe.

An EHR Virtual Scribe?

High end EHRs have been using natural language processing for years. You dictate and the system figures out what and where to put the text. These pricey add-ons aren’t widely used.

Less versatile, but far more used is Dragon Voice. Other smart assists are various macro systems and front ends. These improve an often frustrating, mind numbing EHR interface, but are only a partial solution. Their major disadvantage is that the user is tethered to a machine. Ideally, a doctor should be able to talk with their patient, and seamlessly use the record as needed.

If new, smart devices such as Jibo really can aid around the house, it should be possible in another generation or so, to free practioners from their tablets or keyboards. An EHR virtual scribe with cameras and projector could do these tasks:

  • Workflow. Set up workflow based on patient history and appointment type.
  • Encounter Record. Record doctor-patient audio and video unobtrusively.
  • History. Project the patient’s history and labs, etc., as requested.
  • Updates. As the user dictates, the scribe could show the entries to both.
  • Assessment. As the user builds the note, the scribe could show how it compares to similar cases or when asked do searches.
  • Plan. The scribe could produce potential plans and let the user modify them.
  • Orders. Based on the plan, past orders, etc., it could propose new orders.
  • Education. Provide tailored materials, references, etc.
  • Appointment. Set up appropriate follow on appointments.
  • Claims. Interface with claiming and reporting systems as needed.

Products such a Jibo hold the potential for a technical fix for EHRs seemingly intractable usability problems and do it at reasonable cost. Their combination of adaptable hardware, AI abilities and unobtrusive size may just be the ticket.

Usability Principles for Health IT Tools

Posted on October 22, 2015 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 ( 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.

A recent article of mine celebrated a clever educational service offered on the Web by the US Department of Health and Human Services. I ended with a list of three lessons for the health care field regarding usability of health IT Tools, which deserve further explanation.

Respecting contemporary Web practices

Communications can be improved by using the advanced features provided by the Web and mobile devices. In the HHS case, developers went to great lengths to provide a comfortable, pleasant experience to anyone who viewed their content, even if the viewers were visiting a different web site and the HHS content was merely embedded there.

This commitment to modern expectations is rare in the health care field. Web sites and electronic records are famously stuck in the 1990s. Doctors have been warned that they can’t use unencrypted email or text messages to communicate sensitive information to patients, so they use patient portals that are self-contained and hard to access. The tools on my family practice’s portal, provided by eClinicalWorks, don’t even come up to the standards of email systems developed in the 1980s. They lack such fundamental features as viewing messages by sender or viewing threads of multiple messages.

Worse happens if a clinician needs to perform complex tasks in an EHR or to work in multiple windows at once. There are whole areas of health IT (such as the notions of health information exchanges and patient portals) that reflect its primitiveness. Access to data should be fundamental to health IT products.

Why? EHR vendors are focused on HL7 standards, clinical decision support, and other nuts and bolts of data-crunching. They don’t possess the most advanced design and Web coding teams. Given their small market size–compared to social networks or e-commerce sites–one shouldn’t be surprised that health sites and EHRs don’t invest in cutting-edge Web technology. It’s no surprise, for instance, that when athenahealth (the most forward-looking proprietary EHR vendor, in my personal view) decided to reach out to the mobile world, they purchased an existing mobile app development company.

Another barrier may be the old software and hardware used at many health care sites, as described in item 6 of an Open mHealth round-up.

The problem is that health care applications and web sites need to make things easy for the user–at least as easy as retailers do. Both clinicians and patients tend to visit such sites when the are feeling pressured, tense, and depressed about what they’re dealing with. Mistakes have serious negative consequences. So interfaces should be as usable as possible. It also helps if their interactive elements behave like others that the users have encountered in other apps and web sites; hence the value of keeping up with current user interface practices.

Consider the people at the other end

I’ve already explained how the mood and mindset of the app user or web visitor has a critical effect on user interface design. Designers never know in advance–even when they think they do–what the users are asking for. And users vary widely as well. Therefore, sites must be prepared to evolve continuously with input and feedback from users. This requirement leads directly to the next suggestion.

Open source meets more needs

Most health care developers (and app buyers) assume that software must be kept closed to establish viable businesses. In other industries, large institutions are thriving on Linux, open source Java technologies, free databases such as MySQL and various NoSQL options, and endless free libraries for software development. Yet proprietary software still rules in electronic health records, medical devices, consumer products, and mobile apps.

Releasing source code in the open seems counter-intuitive, but it can lead to greater business success by promoting a richer ecosystem of tools. The vendors of health apps and software still haven’t realized–or at least, haven’t really pursued to its logical conclusion–the truth that health prospers only when many different parts of the health care system work together. Under the shepherdship of the Department of Health and Human Services, doctors are groping their way toward working with other doctors, with nursing homes and rehab facilities, with behavioral health clinics, and with patients themselves. Technology has to keep up, and that means eliminating barriers to interoperability.

APIs are a fine way to allow data sharing, but they don’t open up the tools behind the APIs. Creating a computing environment for health that ties together different systems requires free and open source software. It enables deep hooks between different parts of the system. Open source EHRs, open source device software, and open source research tools can be integrated to make larger systems that offer opportunities to all players.

Platforms for innovation

Instead of picking off bits of the existing health care infrastructure to serve, developers and vendors should be making platforms with vast new horizons and new opportunities for business. Platforms that encourage outsiders to build new functions are the concept that ties together the three observations in this article. These platforms can be presented to users in different ways by leading Web developers, can incorporate enhancements suggested by users, and can rely on open source to make adaptation easy.

Two platforms I have discussed in previous articles include SMART and Shimmer. SMART is an API that provides a standard to app developers working with patient data. Shimmer is a new tool for processing data from fitness devices. Each is starting to make a mark in the health care field, and illustrate what the field can achieve when parties work together and share results.

Accenture: “Zombie” Digital Health Startups Won’t Die In Vain

Posted on August 24, 2015 I Written By

Anne Zieger is veteran healthcare consultant and analyst with 20 years of industry experience. Zieger formerly served as editor-in-chief of and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also contributed content to hundreds of healthcare and health IT organizations, including several Fortune 500 companies. Contact her at @ziegerhealth on Twitter or visit her site at Zieger Healthcare.

I don’t know about you, but I’ve been screaming for a while about how VCs are blowing their money on questionable digital health ventures. To my mind, their investment patterns suggest that the smart money really isn’t that smart. I admit that sorting out what works in digital health/mHealth/connected health is very challenging, but it’s far from impossible if you immerse yourself in the industry. And given how much difference carefully-thought out digital health tools can make, it’s exasperating to watch failing digital health startups burn through money.

That being said, maybe all of those dollars won’t be wasted. According to no less an eminence grise than Accenture, failing digital health ventures will feed the stronger ones and make their success more likely. A new report from Accenture predicts that these “zombie” startups — half of which will die within two years, it says — will provide talent and technology to their surviving rivals. (OK, I agree, the zombie image is a bit unsettling, isn’t it?)

To bring us their horror movie metaphor, Accenture analyzed the status of 900 healthcare IT startups, concluding that 51% were likely to collapse within 20 months.  The study looked at ventures cutting across social, mobile, analytics, cloud and sensors technologies, which include wearables, telehealth and remote monitoring.

While most researchers try to predict who the winners will be in a given market, Accenture had a few words to say about the zombie also-rans. And what they found was that the zombies have taken in enough cash to have done some useful things, collecting nearly $4 billion in funding between 2008 and 2013.

The investments are part of an ongoing funding trend. In fact, digital health dollars are likely to pour in over the next two years as well, with healthcare IT startups poised to take in $2.5 billion more over the next two years, Accenture estimates. Funding should focus on four segments, including engagement (25%), treatment (25%), diagnosis (21%) and infrastructure (29%), the study found.

So what use are the dying companies that will soon litter the digital health landscape? According to Accenture, more-successful firms can reap big benefits by acquiring the failing startups. For example, healthcare players can do “acqui-hiring” deals with struggling digital health startups to pick up a deep bench of qualified tech staffers. They can pick up unique technologies (the 900 firms analyzed, collectively, had 1,700 patents). And acquiring firms can harvest the startups’ technology to improve their products and services lineups.

Not only that — and this is Anne, not Accenture talking — acquiring healthcare firms get a wonderful infusion of entrepreneurial energy, regardless of whether the acquired firm was booking big bucks or not. And I speak from long experience. I’ve known the leaders of countless tech startups, and there’s very little difference between those who make a gazillion dollars and those whose ventures die. Generally speaking, anyone who makes a tech startup work for even a year or two is incredibly insightful, creative, and extremely dedicated, and they bring a kind of excitement to any company that hires them.

So, backed by the corporate wisdom of Accenture, I’ve come to praise zombies, not to bury them. While they may give their corporate lives, their visions won’t be wasted. With any luck, the next generation of digital health companies will appreciate the zombies’ hard work and initiative, even if they’re no longer with us.

I Have Seen The Portal, And It Is Handy

Posted on July 14, 2015 I Written By

Anne Zieger is veteran healthcare consultant and analyst with 20 years of industry experience. Zieger formerly served as editor-in-chief of and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also contributed content to hundreds of healthcare and health IT organizations, including several Fortune 500 companies. Contact her at @ziegerhealth on Twitter or visit her site at Zieger Healthcare.

After writing about EMRs/EHRs and portals for many years, I’ve finally begun using an enterprise-class portal to guide my own care. Here’s some of my impressions as an “inside” (EMR researcher) and “outside” (not employed as a provider) user of this tool. My conclusion is that it’s pretty handy, though it’s still rather difficult to leverage what I’ve learned despite being relatively sophisticated.

First, some background. I get most of my care from northern Virginia-based Inova Health System, including inpatient, primary care, imaging and specialist care. Inova has invested in a honking Epic installation which links the majority of these sites together (though I’ve been informed that its imaging facilities still aren’t hooked up to core medical record. D’oh!) After my last visit with an Inova doctor, I decided to register and use its Epic portal.

Epic’s MyChart has a robust, seemingly quite secure process for registering and accessing information, requiring the use of a long alphanumeric code along with unique personal data to establish an account. When I had trouble reading the code and couldn’t register, telephone-based tech support solved the problem quickly.  (Getting nearsighted as I move from middle- to old-aged!)

Using MyChart, I found it easy to access lab results, my drug list and an overview of health issues. In a plus for both me and the health system, it also includes access to a more organized record of charges and balances due than I’ve been able to put together in many years.

When I looked into extracting and sharing the records, I found myself connected to Lucy, an Epic PHR module. In case you’ve never heard of it (I hadn’t) here’s Epic’s description:

Lucy is a PHR that is not connected to any facility’s electronic medical record system. It stays with patients wherever they receive care and allows them to organize their medical information in one place that is readily accessible. Patients can enter health data directly into Lucy, pull in MyChart data or upload standards-compliant Continuity of Care Documents from other facilities.

As great as the possibility of integrating outside records sounds, that’s where I ran into my first snag. When I attempted to hook up with the portal for DC-based Sibley Memorial Hospital — a Johns Hopkins facility — and integrate the records from its Epic system into the Inova’s Lucy PHR, I was unable to do so since I hadn’t connected within 48 hours of a recent discharge. When I tried to remedy the situation, an employee from the hospital’s Health Information Management department gave me an unhelpful kiss-off, telling me that there was no way to issue a second security code. I was told she had to speak to her office manager; I told her access to my medical record was not up for a vote, and irritated, terminated the call.

Another snag came when I tried to respond to information I’d found in my chart summary. When I noted that one of my tests fell outside the standard range provided by the lab, I called the medical group to ask why I’d been told all tests were normal. After a long wait, I was put on the line with a physician who knew nothing about my case and promptly brushed off my concerns. I appreciate that the group found somebody to talk to me, but if I wasn’t a persistent lady, I’d be reluctant to speak up in the future given this level of disinterest.

All told, using the portal is a big step up from my previous experiences interacting with my providers, and I know it will be empowering for someone like myself. That being said, it seems clear that even in this day and age, even a sophisticated integrated health system isn’t geared to respond to the questions patients may have about their data.

For one thing, even if the Lucy portal delivers as promised, it’s clear that integrating data from varied institutions isn’t a task for the faint of heart. HIM departments still seem to house many staffers who are trained to be clerks, not supporters of digital health. That will have to change.

Also, hospitals and medical practices must train employees to enthusiastically, cheerfully support patients who want to leverage their health record data. They may also want to create a central call center, staffed by clinicians, to engage with patients who are raising questions related to their health data. Otherwise, it seems unlikely that they’ll bother to use it.

Some Methods For Improving EMR Alerts

Posted on June 25, 2015 I Written By

Anne Zieger is veteran healthcare consultant and analyst with 20 years of industry experience. Zieger formerly served as editor-in-chief of and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also contributed content to hundreds of healthcare and health IT organizations, including several Fortune 500 companies. Contact her at @ziegerhealth on Twitter or visit her site at Zieger Healthcare.

A new study appearing in the Journal of the American Medical Informatics Association has made some points that may turn out to be helpful in designing those pesky but helpful alerts for clinicians.

Making alerts useful and appropriate is no small matter. As we reported on a couple of years ago, even then EMR alert fatigue has become a major source of possible medical errors. In fact, a Pediatrics study published around that time found that clinicians were ignoring or overriding many alerts in an effort to stay focused.

Despite warnings from researchers and important industry voices like The Joint Commission, little has changed since then. But the issue can’t be ignored forever, as it’s a car crash waiting to happen.

The JAMIA study may offer some help, however. While it focuses on making drug-drug interaction warnings more usable, the principles it offers can serve as a model for designing other alerts as well.

For what it’s worth, the strategies I’m about to present came from a DDI Clinical Decision Support conference attended by experts from ONC, health IT vendors, academia and healthcare organizations.

While the experts offered several recommendations applying specifically to DDI alerts, their suggestions for presenting such alerts seem to apply to a wide range of notifications available across virtually all EMRs. These suggestions include:

  • Consistent use of color and visual cues: Like road signs, alerts should come in a limited and predictable variety of colors and styles, and use only color and symbols for which the meaning is clear to all clinicians.
  • Consistent use of terminology and brevity: Alerts should be consistently phrased and use the same terms across platforms. They should also be presented concisely, with minimal text, allowing for larger font sizes to improve readability.
  • Avoid interruptions wherever possible:  Rather than freezing clinician workflow over actions already taken, save interruptive alerts that require action to proceed for the most serious situation. The system should proactively guide decisions to safer alernatives, taking away the need for interruption.

The research also offers input on where and when to display alerts.

Where to display alert information:  The most critical information should be displayed on the alert’s top-level screen, with links to evidence — rather than long text — to back up the alert justification.

When to display alerts: The group concluded that alerts should be displayed at the point when a decision is being made, rather than jumping on the physician later.

The paper offers a great deal of additional information, and if you’re at all involved in addressing alerting issues or designing the alerts I strongly suggest you review the entire paper.

But even the excerpts above offer a lot to consider. If most alerts met these usability and presentation standards, they might offer more value to clinicians and greater safety to patients.

Wearables Trendsetters Don’t Offer Much Value

Posted on June 1, 2015 I Written By

Anne Zieger is veteran healthcare consultant and analyst with 20 years of industry experience. Zieger formerly served as editor-in-chief of and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also contributed content to hundreds of healthcare and health IT organizations, including several Fortune 500 companies. Contact her at @ziegerhealth on Twitter or visit her site at Zieger Healthcare.

Today I was looking over my Twitter feed and this tweet popped up:

The referenced article appeared on the corporate site of Qmed, a supplier to the medical device industry. I found this interesting, as it’s pretty obvious that wearables and other mHealth toys will evolve into medical-grade devices over time.

But the choices the article made for hottest wearable firms, while worth a look, demonstrate pretty clearly that few wearables makers can point to any real, meaningful healthcare benefit they offer. (That’s obviously not Qmed’s fault — none of this is aimed at the editor who pulled this piece together — but it’s still a significant point.)

Some of the wearables listed are half-hearted medical device plays, others are fashionable eye candy for upscale geeks, and still others are tadpoles evolving from some other industry into a healthcare mode. Here’s some examples from the list, and why I’m skeptical that they deserve a high five:

* The list includes Apple courtesy of  its Apple Watch.  Right now nobody seems to know quite how the Apple Watch, or any smartwatch for that matter, serves anyone except gadget geeks with extra cash. How, exactly, will having a smartwatch improve your health or life, other than giving you bragging rights over non-owners?

* There’s Fitbit, which is undeniably the wearables success story to beat all others. But just because something is cool doesn’t mean it’s accomplishing anything meaningful. At least where healthcare is concerned, I fail to see how its cursory monitoring add-ons (such as automatic sleep monitoring and heart rate tracking) move the healthcare puck down the ice.

* The list also includes Misfit, whose $850K success on Indiegogo has vaulted it into the ranks of hipster coolness. Admittedly, its Shine is a lovely piece of wearables jewelry, and the Flash is cool, but again, should healthcare leaders really care?

* I admit to a certain interest in Caeden, a Rock Health wearables firm which apparently started out making headphones. The Qmed article reports that the company, which got $1.6M in funding this year, is creating a screenless leather wristband which does health monitoring. But I’m critical of the “screenless” aspect of this product; after all, isn’t one of the main goals of monitoring to engage patients in the process?

I could go on, but you probably get the point I’m trying to make. While the devices listed above might have their place in the consumer health device food chain, it’s not clear how they can actually make patients do better or feel better.

I do have to offer kudos to one company on the list, however. Chrono Therapeutics has an intriguing product to offer which could actually save lungs and lives. The company, which took in $32M in financing last year, has created a slick-looking wearable device that delivers doses of nicotine when a smoker’s cravings hit, and tracks the doses administrated. Now that could be a game change for consumers trying to beat nicotine addiction. (Heck, maybe it could help with other types of addiction too.)

I only hope other wearables manufacturers pick a spot, as Chrono Therapeutics has, and figure out how to do more than be cool, look good or sell to trendies.

The Dawn of The Community EMR

Posted on May 29, 2015 I Written By

Anne Zieger is veteran healthcare consultant and analyst with 20 years of industry experience. Zieger formerly served as editor-in-chief of and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also contributed content to hundreds of healthcare and health IT organizations, including several Fortune 500 companies. Contact her at @ziegerhealth on Twitter or visit her site at Zieger Healthcare.

While many healthcare stakeholders would like to see clinical data shared freely, the models we have in place simply can’t get this done.

Take private HIEs, for example. Some of them have been quite successful at fostering data sharing between different parts of a health system, but the higher clinical functions aren’t integrated — just the data.

Another dead end comes when a health system uses a single EMR across its entire line of properties. That may integrate clinical workflow to some degree, but far too often, the different instances of the EMR can’t share data directly.

If healthcare is to transform itself, a new platform will be necessary which can be both the data-sharing and clinical tool needed for every healthcare player in a community. Consider the vision laid out by Forbes contributor Dave Chase:

Just as the previous wars impacted which countries would lead the world in prosperity, the “war” we are in will dictate the communities that get the lion’s share of the jobs (and thus prosperity). Smart economic development directors and mayors will stake their claim to be the place where healthcare gets reinvented.

In Chase’s column, he notes that companies like IBM have begun to base their decisions about where to locate new technology centers partly on how efficiently, effectively and affordably care can be delivered in that community. For example, the tech giant recently decided to locate 4,000 new jobs in Dubuque, Iowa after concluding that the region offered the best value for their healthcare dollar.

To compete with the Dubuques of the world, Chase says, communities will need to pool their existing healthcare spending — ideally $1B or more — and use it to transform how their entire region delivers care.

While Chase doesn’t mention this, one element which will be critical in building smart healthcare communities is an EMR that works as both a workflow and care coordination tool AND a platform for sharing data. I can’t imagine how entire communities can rebuild their care without sharing a single tool like this.

A few years ago I wrote about how the next generation of  EMRs would probably be architected as a platform with a stack of apps built over it that suit individual organizations. The idea doesn’t seem to have gained a lot of traction in the U.S. since 2012, but the approach is very much alive outside the country, with vendors like Australia’s Ocean Informatics selling this type of technology to government entities around the world. And maybe it can bring cities and regions together too.

For the short term, getting a community of providers to go all in on such an architecture doesn’t seem too likely. Instead, they’ll cling to ACO models which offer at least an illusion of independence. But when communities that offer good healthcare value start to steal their patients and corporate customers, they may think again.

Meaningful Use Stage 3 Success Could Rely On Vendors

Posted on May 20, 2015 I Written By

Anne Zieger is veteran healthcare consultant and analyst with 20 years of industry experience. Zieger formerly served as editor-in-chief of and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also contributed content to hundreds of healthcare and health IT organizations, including several Fortune 500 companies. Contact her at @ziegerhealth on Twitter or visit her site at Zieger Healthcare.

Today I was reading a report on the Health IT Policy Committee’s review of pending Meaningful Use Stage 3 rules — which would ordinarily be as about as exciting as watching rocks erode — when something leapt out at me which I wanted to share with you, dear readers.

The overview, brought to us courtesy of Medical Practice Insider, noted that proposed plans for the Stage 3 rule would allow providers to attest in 2017, though attesting wouldn’t be mandatory until 2018. What this means, editor Frank Irving notes, is that it would be up to EMR vendors to be ready for providers wishing to attest a year early.

The folks overseeing this discussion, the Advanced Health Models and Meaningful Use Workgroup, seem (wisely) to have had their doubts that vendors could be relied upon to meet the 2017 deadline. At the session, workgroup members proposed a couple of alternative ways of addressing this timeline. One was to make the 2017 deadline go away, requiring instead that EMRs have full 2015 certification by 2018. Another was to allow optional attestation in 2017, but if need be, with 2014 EMR certification.

I don’t know about you, but this whole thing makes me nervous. By “whole thing,” I mean adjusting the rules to deal with the likely resistance vendors will exhibit to keeping their roadmap in synch with federal requirements.

After all, consider the history of EMR vendors’ relationship with providers. As we’ve noted, HHS has paid out about $30B in Meaningful Use incentives under HITECH without insisting that vendors provide interoperability. And what have EMR vendors done?  They’ve avoided developing shared standards for interoperability with an alacrity which amazes the eye.

In fact, some EMR vendors — including top contender Epic Systems — have been slapping providers with fees for data sharing (even if they’ve kind of dropped them for now), at prices which could leave them millions in the hole. If that isn’t dead opposite to what those in public policy hope to see happen, I don’t know what is.

Bottom line, if the good people overseeing Meaningful Use want to see Stage 3 accomplish good things, they’ll need to see to it that the new rules give regulators some leverage when it comes to controlling vendors.

As the whole sad interoperability saga has demonstrated, vendors will not take actions that advance health IT on their own. Unlike in other IT markets, where interoperability and meeting regulatory deadlines have been the signs of a winner, EMR vendors actually have strong incentives to ignore providers’ business imperatives.

With any luck, however, between tougher rules on Stage 3 and public pressure to achieve interoperability, EMR vendors will do the right thing.  They’ve certainly had long enough.

A “Collaborative Consult” Could Greatly Improve EMR Value

Posted on May 19, 2015 I Written By

Anne Zieger is veteran healthcare consultant and analyst with 20 years of industry experience. Zieger formerly served as editor-in-chief of and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also contributed content to hundreds of healthcare and health IT organizations, including several Fortune 500 companies. Contact her at @ziegerhealth on Twitter or visit her site at Zieger Healthcare.

Over the past several years, EMRs have taken some steps forward. At least in some cases, analytics have improved, vendors have begun offering cloud or on-premise install versions of their products and user interfaces have even improved.

But one problem with EMRs that seems to be nearly unfixable is the need for providers to stare at an EMR screen, leaving patients to fidget uncomfortably while they wait for a bit of face-to-face contact and discussion. Sure, you’ll see scribes in hospital emergency departments, allowing ED docs to speak to patients without interruption, but in the outpatient settings where patients spend most of their time, the EMR screen is king.

Such a focus on the EMR display isn’t unreasonable, given the importance of the data being entered, but as critics have noted countless times, it does make it more likely that the provider will miss subtle clues as to the patient’s condition, and possibly end up offering lower-quality care than they would have if they had an old-fashioned computerless encounter.

I have long thought, however, that there’s a solution to this problem which would be helpful to both the physician and the patient, one which would literally make sure that patients and doctors are on the same page. I’m speaking of a new group of settings for EMRs designed specifically to let patients collaborate with physicians.

Such an EMR setting, as I envision it, would begin with a section depicting a dummy patient of the appropriate gender.The patient would touch the areas of the body which were causing them problems, while the doctor typed up a narrative version of the problem presentation. The two (patient and doctor) would then zoom in together to more specific descriptions of what the patient’s trouble might be, and the doctor would educate the patient as to what kind of treatment these different conditions might require.

At that point, depending on what condition(s) the doctor chose as requiring further study, lists of potential tests would come up. If a patient wanted to learn what these tests were intended to accomplish, they’d have the liberty to drill down and learn, say, what a CBC measures and why.  The patient would also see, where possible, the data (such as high cholesterol levels) which caused the doctor to seek further insight.

If the patient had a known illness being managed by the physician, such as heart disease, a tour through a 3-D visual model of the heart would also be part of the collaboration, allowing the doctor to educate the patient effectively as to what they were jointly trying to accomplish (such as halting heart muscle thickening).

The final step in this patient-doctor process would come with the system presenting a list of current medications taken by the patient, and if appropriate, new medications that might address any new or recurring symptoms the patient was experiencing.

The final result would come in the form of a PDF, e-mailed to the patient or printed out for their use, offering an overview of their shared journey. The doctor might have to spend a few minutes adding details to their notes after the patient left, but for the most part, the collaborative consult would have met everyone’s needs.

Now you tell me:  Why aren’t we doing this now?  Wouldn’t it make much more sense, and take much more advantage of the powerful desktops, tablets and smartphones we have, than having a provider stare at a screen for most of their visit with a patient?