The Distributed Hospital On The Horizon

If you’re reading this blog, you already know that distributed, connected devices and networks are the future of healthcare.  Connected monitoring devices are growing more mature by the day, network architectures are becoming amazingly fluid, and with the growth of the IoT, we’re adding huge numbers of smart devices to an already-diverse array of endpoints.  While we may not know what all of this will look when it’s fully mature, we’ve already made amazing progress in connecting care.

But how will these trends play out? One nice look at where all this is headed comes from Jeroen Tas, chief innovation and strategy officer at Philips. In a recent article, Tas describes a world in which even major brick-and-mortar players like hospitals go almost completely virtual.  Certainly, there are other takes out there on this subject, but I really like how Tas explains things.

He starts with the assertion that the hospital of the future “is not a physical location with waiting rooms, beds and labs.” Instead, a hospital will become an abstract network overlay connecting nodes. It’s worth noting that this isn’t just a concept. For an example, Tas points to the Mercy Virtual Care Center, a $54 million “hospital without beds” dedicated to telehealth and connected care.  The Center, which has over 300 employees, cares for patients at home and in beds across 38 hospitals in seven states.

While the virtual hospital may not rely on a single, central campus, physical care locations will still matter – they’ll just be distributed differently. According to Tas, the connected health network will work best if care is provided as needed through retail-type outlets near where people live, specialist hubs, inpatient facilities and outpatient clinics. Yes, of course, we already have all of these things in place, but in the new connected world, they’ll all be on a single network.

Ultimately, even if brick-and-mortar hospitals never disappear, virtual care should make it possible to cut down dramatically on hospital admissions, he suggests.  For example, Tas notes that Philips partner Banner Health has slashed hospital admissions almost 50% by using telehealth and advanced analytics for patients with multiple chronic conditions. (We’ve also reported on a related pilot by Partners HealthCare Brigham and Women’s Hospital, the “Home Hospital,” which sends patients home with remote monitoring devices as an alternative to admissions.)

Of course, the broad connected care outline Tas offers can only take us so far. It’s all well and good to have a vision, but there are still some major problems we’ll have to solve before connected care becomes practical as a backbone for healthcare delivery.

After all, to cite one major challenge, community-wide connected health won’t be very practical until interoperable data sharing becomes easier – and we really don’t know when that will happen. Also, until big data analytics tools are widely accessible (rather than the province of the biggest, best-funded institutions) it will be hard for providers to manage the data generated by millions of virtual care endpoints.

Still, if Tas’s piece is any indication, consensus is building on what next-gen care networks can and should be, and there’s certainly plenty of ways to lay the groundwork for the future. Even small-scale, preliminary connected health efforts seem to be fostering meaningful changes in how care is delivered. And there’s little doubt that over time, connected health will turn many brick-and-mortar care models on their heads, becoming a large – or even dominant – part of care delivery.

Getting there may be tricky, but if providers keep working at connected care, it should offer an immense payoff.

Posted in clinical decision support, health information exchange, Healthcare Analytics, Healthcare Big Data, Hospital EHR, Hospital Electronic Health Record, Hospital Electronic Medical Record, Hospital EMR, Hospital Healthcare IT, Telemedicine | Tagged , , , , , , , , | Comments Off on The Distributed Hospital On The Horizon

Indiana Health System Takes On Infection Control With Predictive Analytics

At Indiana University Health, a 15-hospital non-profit health system, they’ve taken aim at reducing the rate of central-line associated bloodstream infections – better known to infection control specialists as CLABSIs.

According to the CDC, CLABSIs are preventable, but at present still result in thousands of deaths each year and add billions of dollars in costs to U.S. healthcare system spending. According to CDC data, patient mortality rates related to CLABSI range from 12% to 25%, and the infections cost $3,700 to $36,000 per episode.

Hospitals have been grappling with this problem for a long time, but now technology may offer preventive options. To cut its rate of CLABSIs, IU Health has decided to use predictive analytics in addition to traditional prevention strategies, according to an article in the AHA’s Hospitals & Health Systems magazine.

Reducing the level of hospital-acquired infections suffered by your patients always makes sense, but IU Health arguably has additional incentives to do it. The decision to attack CLABSIs comes as IU Health takes on a strategic initiative likely to demand a close watch on such metrics. At the beginning of January, Indiana University Health kicked off its participation in the CMS Next Generational Accountable Care Organization Model, putting its ACO in the national spotlight as a potential model for improving fee-for-service Medicare.

According to H&HN, IU Health has launched its predictive analytics pilot for CLABSI prevention at its University Hospital location, which includes a 600-bed Level I trauma center and 300-bed tertiary care center which also serves as one of the 10 largest transplant centers in the U.S.

Executives there told the magazine that the predictive analytics effort was an outgrowth of its long-term EMR development effort, which has pushed them to streamline data flow across platforms and locations over the past several years.

The hospital’s existing tech prior to the predictive analytics effort did include an e-surveillance program for hospital-acquired infections, but even using the full powers of the EMR and e-surveillance solution together, the hospitals could only monitor for CLABSI which had already been diagnosed.

This retrospective approach succeeded in cutting IU Health’s CLABSI rate from 1.7 CLABSIs over central-line days in 2015 to 1.2 last year. But IU Health hopes to improve the hospital’s results even further by getting ahead of the game.

Last year, the system implemented a data visualization platform designed to give providers a quick-and-easy look at data in real time. The platform lets managers keep track of many important variables easily, including whether hospital units have skipped any line maintenance activities or failed to follow-through on CLABSI bundles. It’s also saving time for nurse managers, who used to have to track data manually, and letting them check on patient trend line data at a glance.

The H&HN article doesn’t say whether the hospital has managed to cut its CLABSI rate any further, but it’s hard to imagine how predictive analytics could deliver zero results. Let’s wish IU Health further luck in cutting CLABSI rates down further.

Posted in ACO, Healthcare Analytics, Hospital EHR, Hospital Electronic Health Record, Hospital Electronic Medical Record, Hospital EMR, Hospital Healthcare IT | Tagged , , , , , | Comments Off on Indiana Health System Takes On Infection Control With Predictive Analytics

National Health Service Hospitals Use Data Integration Apps

While many providers in the US are still struggling with selecting and deploying apps, the UK National Health Service trusts are ready to use them to collect vital data.

According to the New Scientist, the four National Health Services serving the United Kingdom are rolling out two apps which help patients monitor their health at home. Both of the apps, which are being tested at four hospitals in Oxfordshire, UK, focus on management of a disease state.

One, called GDm-health, helps manage the treatment of gestational diabetes, which affects one in 10 pregnant women. Women use the app to send each of their blood glucose readings to the clinician monitoring their diabetes. The Oxford University Institute of Biomedical Engineering led development of the app, which has allowed patients to avoid needless in-person visits. In fact, the number of patient visits has dropped by 25%, the article notes.

The other app, which was also developed by the Institute, helps patients manage chronic obstructive pulmonary disease, which affects between 1 million and 1.5 million UK patients. COPD patients check their heart rate and blood oxygen saturation every day, entering each result into the app.

After collecting three months of measurements, the app “learns” to recognize what a normal oxygen sat level is for that patient. Because it has data on what is normal for that patient, it will neither alert clinicians too often nor ignore potential problems. During initial use the app, which already been through a 12-month clinical trial, cut hospital admissions among this population by 17% and general practitioner visits by 40%.

NHS leaders are also preparing to launch a third app soon. The technology, which is known as SEND, is an iPad app designed to collect information on hospital patients. As they make their rounds, nurses will use the app to input data on patients’ vital signs. The system then automatically produces an early warning score for each patient, and provides an alert if the patient’s health may be deteriorating.

One might think that because UK healthcare is delivered by centralized Trusts, providers there don’t face data-sharing problems in integrating data from apps like these. But apparently, we would be wrong. According to Rury Holman of the Oxford Biomedical Research Centre, who spoke with New Scientist, few apps are designed to work with NHS’ existing IT systems.

“It’s a bit like the Wild West out there with lots of keen and very motivated people producing these apps,” he told the publication. “What we need are consistent standards and an interface with electronic patient records, particularly with the NHS, so that information, with permission from the patients, can be put to use centrally.”

In other words, even in a system providing government-delivered, ostensibly integrated healthcare, it’s still hard to manage data sharing effectively. Guess we shouldn’t feel too bad about the issues we face here in the US.

Posted in Healthcare Integration, Hospital EHR, Hospital Electronic Health Record, Hospital Electronic Medical Record, Hospital EMR, Hospital Healthcare IT, iPad/iPhone, Mobile Technology | Tagged , , , , , , | Comments Off on National Health Service Hospitals Use Data Integration Apps

Connected Health at #HIMSS17

One of the big growth areas at the HIMSS Annual Conference has been around digital and personal connected health (Formerly called mHealth or Mobile Health or Digital Health, etc). At HIMSS 2017 we see that trend continue. If you’re interested in connected health, then you’ll be busy at HIMSS this year.

To start off, they have an entire specialty education summit on the Sunday before the regular conference and the Monday of the conference that’s focused on Digital and Personal Connected Health (Costs $545 to attend now). You can find more details on this event and other education, exhibition and networking around Connected Health here. This Connected Health social hour looks pretty interesting.

Along with the Connected Health Summit, HIMSS Attendees can browse through a wide variety of Connected Health sessions on the education schedule and programming at the Connected Health Experience in the exhibit area.

If you’re looking for exhibitors working on Connected Health solutions, you can check out this list of HIMSS 2017 exhibitors. No doubt there are other exhibitors at HIMSS that just didn’t classify themselves that way, but they’re working on Connected Health solutions.

Along with the Connected Health sessions and exhibits, they also have a Wellness Challenge for all HIMSS attendees. If you’ve ever wanted a Free Apple Watch, then you might want to participate. I always love the idea personally but wish that the competition was virtual. I can never make it at the time specified.

Finally, if you’re not going to be at HIMSS or if you’re there and you want to share in the Connected Health conversation, there’s a special #Connect2Health hashtag you can follow and use.

I know in the past the Connected Health vendors have been some of the more interesting and innovative companies at HIMSS. I’ll be sure to report back on any that I find.

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Is Your Current Analytics Infrastructure Keeping You From Success in Healthcare Analytics?

The following is a paid blog post sponsored by Intel.

Healthcare analytics is all the talk in healthcare right now.  It’s really no surprise since many have invested millions and even billions of dollars in digitizing their health data.  Now they want to extract value from that data.  No doubt, the promise of healthcare analytics is powerful.  I like to break this promise out into two categories: Patient Analysis and Patient Influence.

Patient Analysis

On the one side of healthcare analytics is analyzing your patient population to pull reports on patients who need extra attention.  In some cases, these patients are the most at risk portions of your population with easy to identify disease states.  In other cases, they’re the most expensive portion of your population.  Both of these are extremely powerful analytics as your healthcare organization works to improve patient care and lower costs.

An even higher level of patient analysis is using healthcare analytics to identify patients who don’t seem to be at risk, but whose health is in danger.  These predictive analytics are much more difficult to create because by their very nature they’re imperfect.  However, this is where the next generation of patient analysis is going very quickly.

Patient Influence

On the other side of healthcare analytics is using patient data to influence patients.  Patient influence analytics can tell you simple things like what type of communication modality is preferred by a patient.  This can be used on an individual level to understand whether you should send an email, text, or make a phone call or it can be used on the macro level to drive the type of technologies you buy and content you create.

Higher level patient influence analytics take it one step further as they analyze a patient’s unique preferences and what influences the patient’s healthcare decision making.  This often includes pulling in outside consumer data that helps you understand and build a relationship with the patient.  This analytic might tell you that the patient is a huge sports fan and which is their favorite team.  It might also tell you that this person has a type A personality.  Together these analytics can inform you on the most appropriate ways and methods to interact and influence the patient.

What’s Holding Healthcare Analytics Back?

Both of these healthcare analytics approaches have tremendous promise, but many of them are being held back by a healthcare organization’s current analytics infrastructure.

The first problem many organizations have is where they are storing their data.  I’d describe their data as being stored in virtual prisons.  We need to unlock this data and free it so that it can be used in healthcare analytics.  If you can’t get at the data within your own organization, how can we even start talking about all the health data being stored outside the four walls of your organization?  Plus, we need to invest in the right storage that can support the growth of this data.  If you don’t solve these data access and storage pieces, you’ll miss out on a lot of the benefits of healthcare analytics.

Second, do you trust your data?  Most hospital CIOs I talk to usually respond, “Mostly.”  If you can’t trust your data, you can’t trust your analytics.  A fundamental building block of successful analytics is building trust in your data.  This starts by implementing effective workflows that capture the data properly on the front end.

Next, do you have the processing power required to process all these analytics and data?  Healthcare analytics in many healthcare organizations reminds me of the old days when graphic designers and video producers would have to wait hours for graphics programs to load or videos to render.  Eventually we learned not to skimp on processing power for these tasks.  We need to learn this same lesson with healthcare analytics.  Certainly cloud makes this easier, but far too often we under fund the processing power needed for these projects.

Finally, all the processing power in the world won’t help if you don’t have your most important piece of analytics infrastructure: people.  No doubt, finding experienced people in healthcare data analytics is a challenge.  It is the hardest thing to do on this list since it is very competitive and very expensive.  The good news is that if you solve the other problems above, then you become an attractive place for these experts to work.

In your search for a healthcare analytics expert, you can likely find a data expert.  You can find a clinical expert.  You can find an EHR expert.  Finding someone who can work across all three is the Holy Grail and nearly impossible to find.  This is why in most organizations healthcare analytics is a team sport.  Make sure that as you build your infrastructure of healthcare analytics people, you make sure they are solid team players.

It’s time we start getting more value out of our EHR and health IT systems.  Analytics is one of those tools that will get us there.  Just be sure that your current infrastructure isn’t holding you back from achieving those goals.

If this topic interests you and you’ll be at HIMSS 2017, join us at the Intel Health Booth #2661 on Tuesday, 2/21 from 2:00-2:45 PM where we’ll be holding a special meetup to discuss Getting Ready for Precision Health.  This meetup will also be available virtually via Periscope on the @IntelHealth Twitter account.

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Many Providers Still Struggle With Basic Data Sharing

One might assume that by this point, virtually every provider with a shred of IT in place is doing some form of patient data exchange. After all, many studies tout the number of healthcare data send and receive transactions a given vendor network or HIE has seen, and it sure sounds like a lot. But if a new survey is any indication, such assumptions are wrong.

According a study by Black Book Research, which surveyed 3,391 current hospital EMR users, 41% of responding medical record administrators find it hard to exchange patient health records with other providers, especially if the physicians involved aren’t on their EMR platform. Worse, 25% said they still can’t use any patient information that comes in from outside sources.

The problem isn’t a lack of interest in data sharing. In fact, Black Book found that 81% of network physicians hoped that their key health system partners’ EMR would provide interoperability among the providers in the system. Moreover, the respondents say they’re looking forward to working on initiatives that depend on shared patient data, such as value-based payment, population health and precision medicine.

The problem, as we all know, is that most hospitals are at an impasse and can’t find ways to make interoperability happen. According to the survey, 70% of hospitals that responded weren’t using information outside of their EMR.  Respondents told Black Book that they aren’t connecting clinicians because external provider data won’t integrate with their EMR’s workflow.

Even if the data flows are connected, that may not be enough. Researchers found that 22% of surveyed medical record administrators felt that transferred patient information wasn’t presented in a useful format. Meanwhile, 21% of hospital-based physicians contended that shared data couldn’t be trusted as accurate when it was transmitted between different systems.

Meanwhile, the survey found, technology issues may be a key breaking point for independent physicians, many of whom fear that they can’t make it on their own anymore.  Black Book found that 63% of independent docs are now mulling a merger with a big healthcare delivery system to both boost their tech capabilities and improve their revenue cycle results. Once they have the funds from an acquisition, they’re cleaning house; the survey found that EMR replacement activities climbed 52% in 2017 for acquired physician practices.

Time for a comment here. I wish I agreed with medical practice leaders that being acquired by a major health system would solve all of their technical problems. But I don’t, really. While being acquired may give them an early leg up, allowing them to dump their arguably flawed EMR, I’d wager that they won’t have the attention of senior IT people for long.

My sense is that hospital and health system leaders are focused externally rather than internally. Most of the big threats and opportunities – like ACO integration – are coming at leaders from the outside.

True, if a practice is a valuable ally, but independent of the health system, CIOs and VPs may spend lots of time and money to link arms with them technically. But once they get in house, it’s more of a “get in line” situation from what I’ve seen.  Readers, what is your experience?

Posted in ACO, health information exchange, HIE, Hospital CIO, Hospital EHR, Hospital Electronic Health Record, Hospital Electronic Medical Record, Hospital EMR, Hospital Healthcare IT, IDN | Tagged , , , , , , | Comments Off on Many Providers Still Struggle With Basic Data Sharing

Hospital EMR and EHR Milestone – 1 Million Pageviews

I was just looking over the stats for Hospital EMR and EHR and noticed that were right at 1 million pageviews for this site. That’s a pretty amazing accomplishment for such a niche site. Especially since we’ve moved a lot of the traffic off of the site and onto our email list. Looks like this will make the 1111th blog post for Hospital EMR and EHR and it has 25,293 email subscribers (Subscribe Here) to the content we generate on this site. That’s a really amazing thing since we email those on the list 3-5 times per week. Hospital EMR and EHR has become a really important part of Healthcare Scene and we’re happy to contribute to the hospital healthcare IT industry at large.

On this milestone, we want to thank some of our recent sponsors that have made what we do possible. If you enjoy reading our content, please take a second to look through our sponsors to see if one of them can help make your life easier.

Stericycle Communication Solutions – Stericycle has been a long time sponsor of multiple Healthcare Scene blogs. Plus, they have written the Communication Solutions Series of blog posts which are an excellent read if you’re interested in strategies for healthcare engagement. They also have a free guide that addresses the question Patient or Consumer? This is a great company that’s really working to make the patient experience better.

Galen Healthcare Solutions – We’ve had the chance to work with Galen Healthcare Solutions across a number of different mediums including email, display ads, and sponsored content. You’ve probably read their Tackling EHR and EMR Transition series where they’ve shared a lot of great insights into how your organization should handle archiving old legacy data and also how you can migrate data from one EHR to a new EHR. Both of these topics are going to become increasingly important and Galen Healthcare Solutions have become real experts. Be sure to check out their Free Data Archive whitepaper and their Free EHR Migration whitepaper.

Medical Software Advice (A Gartner Company) – I’ve been working with Medical Software Advice for a very long time. They’ve provided a really great service to my readers around EHR selection. With 300+ EHR vendors out there, it can be hard to cut through the various options. Medical Software Advice has helped out hundreds of companies with their EHR selection including setting up EHR demos and getting EHR pricing. Check out their Top 5 EHR Software list.

4Med – 4Med is another partner that we’ve worked with for a very long time. They’ve consistently offered some great educational content (include CEUs) for the healthcare IT professional. Here are some of their upcoming courses that are great examples: HIPAA Compliance Officer, Patient Centered Medical Home Project Manager, and ACI MACRA-MIPA Project Manager. Each of those links gives you a discount off the regular registration price.

HIPAAOne – HIPAA compliance has always been essential to healthcare, but meaningful use and now MACRA have made the HIPAA Risk Assessment a priority for many organizations. What’s shocking to me is how many organizations haven’t done a proper HIPAA Risk assessment. HIPAA One has created a really great software solution to automate your HIPAA Risk Assessment. I like to call them the Tax Act or H&R Block software for HIPAA compliance. If you’ve got a stack of Excel spreadsheets managing your HIPAA Risk Assessment, take a second to look at how HIPAAOne can make your job easier. Also, they have a great 5 min HIPAA compliance quiz to assess some of key HIPAA compliance areas.

We’re also excited to announce our new Healthcare Scene media kit. It’s been amazing to see the evolution of what we’re able to offer healthcare IT vendors. We really want to develop deep relationships with our advertisers and not just take their money and run. We think that’s the best thing for both our readers and our advertisers. If you’re trying to get the word out to the hospital market, let us how we can help on our contact us page.

I couldn’t finish this post without saying a massive thank you to our readers. It’s hard to know exactly what kind of impact you’re having when you blog. However, every once in a while you get a glimpse into the benefit your blog posts are providing readers and that makes it all worthwhile. Thank you to each of you who read and support our work.

Now, on to the next million pageviews!

Posted in Healthcare Leadership, Hospital EHR, Hospital Electronic Health Record, Hospital Electronic Medical Record, Hospital EMR, Hospital Healthcare IT | Tagged , , , , , , | Comments Off on Hospital EMR and EHR Milestone – 1 Million Pageviews

When Healthcare IT Isn’t Enough

This week I’ve gone through close to 200 pitches from companies who want to meet with me at the HIMSS Annual conference. While I can’t say that this is a fun task (especially since I have to tell 95% of them no), it is an educational experience to see what 200 companies are sharing as we head into the biggest healthcare IT conference in the world.

If I were to summarize the pitches in general, I would describe them as incremental. I’ll admit that this is a pretty disappointing perspective since we all know that healthcare needs something transformational. Don’t get me wrong. I believe that regular incremental improvement is transformational, but I’d say that most of the pitches lacked ambition.

Along with this observation is the idea that in most cases technology isn’t enough. If it were enough, EHR software that’s in use in most of healthcare would have already transformed the industry. The longer I spend in this industry, the more I realize that technology is just a tool in the tool belt. The real transformation comes from something more than technology. Technology might be a catalyst or facilitator, but that’s all.

This is actually a theme that really began at last year’s HIMSS conference. The areas that excite me most are those that literally change behavior. This might be the patient’s behavior or it might be the clinician’s behavior. It might also be the payer, health system, or government’s behavior.

The challenge is that changing behavior is hard. Slapping an EMR system is easy compared to behavior change. Implementing a secure text message solution is easy compared to behavior change. Rolling out an enterprise data warehouse is easy compared to behavior change.

At HIMSS and throughout the year I’m most interested on those companies who understand not only the technology side of things, but the behavior side of things as well.

If you’re interested in healthcare transformation and what it requires, join us at the Digital Transformation Meetup at HIMSS17. It’s happening Tuesday, 2/21 from 11:30-12:30 at the Dell EMC Booth #3161. More details on this meetup and other HIMSS17 meetups can be found here.

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CareSkore Releases Industry’s First Population Health Management as a ServiceTM

PHMaaSTM Provides 3rd-party Apps Full Access to Complete Suite of Machine-learning Analytics through API

Mountain View, CA – February 9, 2017CareSkore, the leader in end-to-end personalized population health management, announced today the release of its Population Health Management as a ServiceTM (PHMaaSTM), providing direct access to its extensive machine-learning analytics engine to 3rd-party applications through an API.

“PHMaaS completely changes the game for how organizations adopt population health management,” said Jaspinder Grewal, CEO of CareSkore.  “We have too many proprietary application interfaces in health care.  PHMaaS allows us to provide insights within existing applications that are already part of user workflows.  Now patient-specific clinical, financial, and behavioral risk stratification is as simple as making a seamless API call from within your existing EHR and other applications.”

CareSkore’s personalized population health management SaaS platform incorporates advanced real-time analytics and innovative AI-based patient engagement to deliver optimized quality of care.  CareSkore PHMaaS provides existing health care IT systems seamless access to its machine-learning-based, real-time analytics engine, aptly called Zeus, through a simple API call.  Now EHRs, middleware platforms, enterprise data warehouses, clinical information networks, and health information exchanges that are already deployed can provide Zeus with real-time internal clinical and claims data and have Zeus augment that with external intelligence specific to every patient on things like demographics and socio-economic characteristics.  The output is patient-specific predictive analytics with a focus on how providers can quickly operationalize those insights. 

Traditional analytics typically achieve accuracy between 60 and 70%, while CareSkore can deliver greater than 90% accuracy to help create a full view of each patient.  This superior capability is driving rapid growth, with customers increasing 1,000% and headcount rising 12x in 2016.  By the end of 2017, CareSkore expects to be deployed in hundreds of locations.

“CareSkore has dramatically simplified the implementation of advanced patient-specific analytics,” said Rohit Arora, Professor and Chairman of Cardiovascular Medicine, Chicago Medical School.  “Access through and integration with existing EHR and other apps significantly lowers the barriers to adoption and deployment.”

CareSkore will exhibit at HIMSS 17 in Orlando in booth 1623 from February 20-22, 2017. To schedule a demo of the PHMaaS solution, go to

About CareSkore

CareSkore is the leading provider of personalized population health management, leveraging machine-learning to generate real-time predictive and prescriptive analytics to understand each patient you are managing, what you are managing them for, and how you are/should be managing them.  CareSkore’s AI-enhanced post-discharged engagement reduces risk of patient behaviors that could lead to poorer outcomes.  CareSkore’s end-to-end patient care management platform ensures quality results and maximum revenue with value-based contracts.

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Noninvasive 3D Heart Mapping System

Last week, Medtronic got FDA approval for their CardioInsight™ Mapping Vest.

I’ll admit that many of the technical details of the CardioInsight product are well above my health knowledge, but those that are interested should go and read Heather Mack’s article on mobihealthnews to get more detail.

What I do get is that this new FDA cleared device can create a 3D map of your heart using 252 electrode sensors and doesn’t require a doctor to insert a catheter to get a cardiac map of the heart. That’s pretty impressive technology and it’s great that it’s already been FDA cleared.

While I can see how this will be extremely valuable when identifying the origin of arrhythmias, I’m interested to see what other data this device will be able to collect and the insights that will come from that data. I also love that this non-invasive approach is much better for the patient on a number of levels including not having to have to spend time and be stressed over an invasive clinical procedure.

For a while, I’ve suggested that we’re still in the very early days of health sensors. This heart mapping vest seems to be a nice step forward in that progression. I can’t see us wearing one of these in our homes, but we may be able to use it discover what insights matter and develop consumer-based sensors that you would use in the home.

What will they think of next? Actually, that’s the most exciting part of working in digital health.

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