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Dogged By Privacy Concerns, Consumers Wonder If Using HIT Is Worthwhile

Posted on May 17, 2017 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 FierceHealthcare.com 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 just came across a survey suggesting that while we in the health IT world see a world of possibilities in emerging technologies, consumers aren’t so sure. The researchers found that consumers question the value of many tech platforms popular with health execs, apparently because they don’t trust providers to keep their personal health data secure.

The study, which was conducted between September and December 2016, was done by technology research firm Black Book. To conduct the survey, Black Book reached out to 12,090 adult consumers across the United States.

The topline conclusion from the study was that 57 percent of consumers who had been exposed to HIT through physicians, hospitals or ancillary providers doubted its benefits. Their concerns extended not only to EHRs, but also to many commonly-deployed solutions such as patient portals and mobile apps. The survey also concluded that 70 percent of Americans distrusted HIT, up sharply from just 10 percent in 2014.

Black Book researchers tied consumers’ skepticism to their very substantial  privacy concerns. Survey data indicated that 87 percent of respondents weren’t willing to divulge all of their personal health data, even if it improved their care.

Some categories of health information were especially sensitive for consumers. Ninety-nine percent were worried about providers sharing their mental health data with anyone but payers, 90 percent didn’t want their prescription data shared and 81 percent didn’t want information on their chronic conditions shared.

And their data security worries go beyond clinical data. A full 93 percent responding said they were concerned about the security of their personal financial information, particularly as banking and credit card data are increasingly shared among providers.

As a result, at least some consumers said they weren’t disclosing all of their health information. Also, 69 percent of patients admitted that they were holding back information from their current primary care physicians because they doubted the PCPs knew enough about technology to protect patient data effectively.

One of the reason patients are so protective of their data is because many don’t understand health IT, the survey suggested. For example, Black Book found that 92 percent of nurse leaders in hospital under 200 beds said they had no time during the discharge process to improve patient tech literacy. (In contrast, only 55 percent of nurse leaders working in large hospitals had this complaint, one of the few bright spots in Black Book’s data.)

When it comes to tech training, medical practices aren’t much help either. A whopping 96 percent of patients said that physicians and staff didn’t do a good job of explaining how to use the patient portal. About 40 percent of patients tried to use their medical practice’s portal, but 83 percent said they had trouble using it when they were at home.

All that being said, consumers seemed to feel much differently about data they generate on their own. In fact, 91 percent of consumers with wearables reported that they’d like to see their physician practice’s medical record system store any health data they request. In fact, 91 percent of patients who feel that their apps and devices were important to improving their health were disappointed when providers wouldn’t store their personal data.

Researcher Puts Epic In Third Place For EMR Market Share

Posted on May 16, 2017 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 FierceHealthcare.com 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 research report tracking market share held by EMR vendors puts Epic in third place, behind Cerner and McKesson, a conclusion which is likely to spark debate among industry watchers.

The analyst firm behind the report, Rockville, MD-based Kalorama Information, starts by pointing out that despite the hegemony maintained by larger EMR vendors, the competition for business is still quite lively. With customers still dissatisfied with their systems, the hundreds of vendors still in the market have a shot at thriving, it notes.

Kalorama publisher Bruce Carlson argues that until the larger firms get their act together, there will still be plenty of opportunity for these scrappy smaller players: “It’s still true to say no company, not even the largest healthcare IT firms, have even a fifth of this market,” Carlson said in a published statement. “We think that is because there’s still usability, vendor-switching, lack of mindshare in the market and customers are aching for better.”

In calculating how much each vendor has of the EMR market, the analyst firm estimated each vendors’ hardware, software and services revenue flowing directly from EMRs, breaking out the percentage each category represented for each vendor. All projects were based on 2016 data.

Among the giants, Kalorama ranks Cerner as having the biggest market share, McKesson as second in place and Epic as third. The report’s observations include:

  • That Cerner is picking up new business, in part, due to the addition of its CernerITWorks suite, which works with hospital IT departments, and Cerner RevWorks, which supports revenue cycle management functions. Kalorama also attributes Cerner’s success to the acquisition of Siemens IT and its having won the Department of Defense EMR contract.
  • That McKesson is building on its overall success as a health IT vendor, which puts it in a good position to build on its existing technology. For example, it has solutions addressing medication safety, information access, revenue cycle management, resource use and physician adoption of EMRs, including Paragon, Horizon, EHRM, Star and Series for hospitals, along with Practice Partners, Practice Point Plus and Fusion for ambulatory care.
  • That Epic serves giant customers like Kaiser Permanente, as well as holding a major share of new business in the EMR market. Kalorama is predicting that Epic will pick up more ambulatory customers, which it has focused on more closely of late.

The report also lists Allscripts Healthcare Solution, which came in fourth. Meanwhile, it tosses in GE Healthcare, Athenahealth’s Intersystems, QSI/NextGen, MEDITECH, Greenway and eClinicalWorks in with a bundle of at least 600 companies active in the EMR market.

The report summary we editors got didn’t include some details on how the market components broke down. I would like to know more about the niches in which these vendors play.

For example, having seen a prediction earlier this year that the physician practice market would hit $17.6 billion worldwide within seven years, it would be interesting to see that dot connected with the rest of the market share information. Specifically, I’d like to know how much of the ambulatory EMR market included integrated practice management software. That would tell me something about where overall solutions for physicians were headed.

However, I still got something out of the information Kalorama shared.  As our esteemed publisher John Lynn often notes, all market share measurements are a bit, um, idiosyncratic at best, and some are not even that reliable. But as I see it the estimates are worth considering nonetheless, as they challenge us to look at the key moving parts in the EMR market. Hey, and it gives us something to talk about at tradeshow parties!

The Sexiest Data in Health IT: Datapalooza 2017

Posted on May 15, 2017 I Written By

Healthcare as a Human Right. Physician Suicide Loss Survivor. Janae writes about Artificial Intelligence, Virtual Reality, Data Analytics, Engagement and Investing in Healthcare. twitter: @coherencemed

The data at this conference was the Best Data. The Biggest Data. No one has better data than this conference.

The sexiest data in all of healthIT was highlighted in Washington DC at Datapalooza April 27-28, 2017.  One of the main themes was how to deal with social determinants of health and the value of that data.  Sachin H. Jain, MD of Caremore Health reminded us that “If a patient doesn’t have food at home waiting for them they won’t get better” social data needs to be in the equation. Some of the chatter on the subject of healthcare reform has been criticism that providing mandatory coverage hasn’t always been paired with knowledge of the area. If a patient qualifies for Medicaid and has a lower paying job how can they afford to miss work and get care for their health issues?
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Rural areas also have access issues. Patient “Charles” works full time during the week and qualifies for Medicaid. He can’t afford to miss a lot of work but needs a half a day to get treatments which affect his ability to work. There is no public transportation in his town to the hospital in a city an hour and a half away. Charles can’t afford the gas or unpaid time off work for his treatment.

Urban patient “Haley” returns to her local ER department more than once a week with Asthma attacks.  Her treatments are failing because she lives in an apartment with mold in the walls. As Craig Kartchner from the Intermountain Healthcare team responded to the #datapalooza  hashtag online- These can be the most difficult things to change.

The 2016 report to Congress addresses the difficulty of the intersection between social factors and providing quality healthcare in terms of Social Determinants of Health:

“If beneficiaries with social risk factors have worse health outcomes because the providers they see provide low quality care, value based purchasing could be a powerful tool to drive improvements in care and reduce health disparities. However, if beneficiaries with social risk factors have worse health outcomes because of elements beyond the quality of care provided, such as the social risk factors themselves, value based payment models could do just the opposite. If providers have limited ability to influence health outcomes for beneficiaries with social risk factors, they may become reluctant to care for beneficiaries with social risk factors, out of fear of incurring penalties due to factors they have limited ability to influence.”

Innovaccer just launched a free tool to help care teams track and monitor Medicare advantage plans. I went to their website and looked at my county and found data about the strengths in Salt Lake where I’m located. They included:

  • Low prevalence of smoking
  • Low Unemployed Percentage
  • Low prevalence of physically inactive adults

Challenges for my area?

  • Low graduation rate
  • High average of daily Air pollution
  • High income inequality
  • High Violent crime rate per 100,000 population

Salt Lake actually has some really bad inversion problems during the winter months and some days the particulate matter in the air creates problems for respiratory problems. During the 2016-2017 winter there were 18 days of red air quality and 28 days of yellow air quality. A smart solution for addressing social determinants of health that negatively impact patients in this area could be addressing decreasing air pollution through increased public transportation. Healthcare systems will see an increase in cost of care during those times and long term population health challenges can emerge. You can look at your county after you enter your email address on their site. This kind of social data visualization can give high level insights into the social factors your population faces.

One of the themes of HealthDataPalooza was how to use system change to navigate the intersection between taking care of patients and not finding way to exclude groups. During his panel discussion of predictive analytics, Craig Monson the medical director for analytics and reporting discussed how “data analytics is the shiny new toy of healthcare.”    In addition to winning the unofficial datapalooza award for the most quotes and one liners – Craig presented the Clinical Risk Prediction Initiative (CRISPI).  This is a multi variable logistic regression model with data from the Atrius health data warehouse. His questions for systems to remember in their data analysis selection are “Who is the population you are serving? What is the outcome you need? What is the intervention you should implement?”

Warning- Craig reminds us that in a world of increasing sexy artificial intelligence coding a lot of the value analysis can be done with regression. Based on that statement alone I think he can be trusted. I still need to see his data.

CRISPI analyzed the relative utility of certain types of data, and didn’t have a large jump in utility when adding Social Determinant Data. This data was one of the most popular data sets during Datapalooza discussions but the reality of making actionable insights into system improvement? Craig’s analysis said it was lacking. Does this mean social determinant data isn’t significant or that it needs to be handled with a combination of traditional modeling and other methods?  Craig’s assertion seemed to fly in the face of the hot new trend of Social Determinants of Health data from the surface.

Do we have too much data or the wrong use of the data? Most of the companies investing into this space used data sources outside the traditional definition to help create solutions with social determinate of health and Patient outcomes. They differed in how they analyzed social determinant data. Traditional data sources for the social determinants of health are well defined within the public health research.  The conditions in which you work and live impact your health.

Datapalooza had some of the greatest minds in data analytics and speakers addressed gaps in data usefulness. Knowing that a certain large county wide population has a problem with air quality might not be enough to improve patient outcomes. There is need for analysis of traditional data sources in this realm and how they can get meaningful impact for patients and communities. Healthcare innovators need to look at different data sources.  Nick Dawson, Executive director of Johns-Hopkins Sibley Innovation Hub responded to the conversation about food at home with the data about Washington DC.  “DC like many cities has open public data on food scarcity. But it’s not part of a clinical record. The two datasets never touch.” Data about food scarcity can help hospital systems collaborate with SNAP and Government as well as local food programs. Dawson leads an innovation lab at Johns Hopkins Sibley where managers, directors, VPs and C Suite leaders are responsible for working with 4 innovation projects each year.

Audun Utengen, the Co Founder of Symplur said “There’s so much gold in the social media data if you choose to see it.” Social data available online helps providers meet patients where they are and collect valuable data.  Social media data is another source to collect data about patient preferences and interactions for reaching healthcare populations providers are trying to serve. With so much data available sorting through relevant and helpful data provides a new challenge for healthcare systems and providers.

New Data sources can be paired with a consultative model for improving the intersection of accountable care and lack of access due to social factors. We have more sophisticated analytic tools than ever for providing high value care in the intersection between provider responsibility and social collaboration. This proactive collaboration needs to occur on local and national levels.  “It’s the social determinants of health and the behavioral aspects that we need to fund and will change healthcare” we were reminded. Finding local community programs that have success and helping develop a strategy for approaching Social Determinants of Health is on the mind of healthIT professionals.

A number of companies examine data from sources such as social media and internet usage or behavioral data to design improvements for social determinants of health outcomes.   They seek to bridge the gaps mentioned by Dawson. Data sets exist that could help build programs for social determinants of health.  Mandi Bishop started Lifely Insights centered around building custom community plans with behavioral insights into social determinant data. Health in all Policies is a government initiative supporting increased structure and guidelines in these areas. They support local and State initiatives with a focus on prevention.

I’m looking forward to seeing how the data landscape evolves this year. Government Challenges such as the Healthy Behavior Data Challenge launched at Datapalooza will help fund great improvements. All the data people will get together and determine meaningful data sets for building programs addressing the social determinants of health. They will have visualization tools with Tableau. They will find ways to get food to patients at home so those patients will get better. Programs will find a way to get care to rural patients with financial difficulty and build safe housing.

From a healthcare delivery perspective the idea of collaborating about data models can help improve community health and decrease provider and payer cost. The social determinants of health can cost healthcare organizations more money than data modeling and proactive community collaboration.

Great regressions, saving money and improving outcomes?

That is Datapalooza.

Does Your EHR Sell Your EHR Data?

Posted on May 12, 2017 I Written By

John Lynn is the Founder of the HealthcareScene.com 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 InfluentialNetworks.com and Physia.com. 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 recently saw a tongue-in-cheek tweet from Howard Green, MD about how healthcare shares data:

There has always been a disconnect between providers and EHR vendors saying they can’t share data and then EHR vendors can easily sell and share EHR data to the healthcare industry. If you don’t think this happens at large scales in healthcare, then you need to look no further than IMS which last I checked was a multi billion dollar public company on the back of our health data.

The “sharing” or should we say selling of EHR data is big business and happening a lot more than we realize. I know the Patient Privacy Rights organization was trying to make a map of all the ways your health data was being shared. However, you can imagine that’s an almost impossible task to accomplish. I think most of us would be shocked to see how far and wide are health data is shared.

I wonder how many doctors know the answer to this question, “Does your EHR sell your EHR data?”

My guess is that most doctors assume that their EHR data is not being sold. For a number of EHR vendors, that’s probably true. However, my guess is that most doctors don’t know their EHR vendor’s policy on selling EHR data. If you don’t know, you should ask your EHR vendor and find out.

For those EHR vendors that are selling EHR data, you can be sure that they will happily reply that any EHR data they sell is de-identified. They’ll argue that it’s not a violation of HIPAA because it doesn’t have any PHI because they’ve de-identified the data and only sell the data in aggregate. No doubt there are many that would argue that there’s no perfect way to totally de-identify your EHR data and that when combined with other sources, they can often identify your patients.

This is big business and so it’s easy to see why an EHR vendor would give the go ahead to de-identify and sell the data stored in their EHR. Although, it is disappointing when they’re doing this and their users don’t know that’s the case.

If you’ve asked your vendor if they sell your EHR data, we’d love to hear what they say. How did they respond? Are you ok with your EHR selling your de-identified EHR data?

Where Do Doctors Turn for the Latest Innovations?

Posted on May 11, 2017 I Written By

John Lynn is the Founder of the HealthcareScene.com 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 InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

At last month’s Health IT Marketing and PR Conference, I hosted a panel of customers to talk about what type of marketing tactics work for them. We had a broad range of people on the panel, so there was a wide variety of perspectives on how they discovered new innovations for their organization.

However, one thing stood out to me for one of the doctors that practiced in a relatively small 5 person group practice. He honestly didn’t have any great places to turn when he had a problem he needed to be solved. You got the feeling that he went to Google as much as he did anything else. Although, bewilderment was really his first response.

After some time he did come out with some common answers such as when he attends his association conferences and when he talks to his peers. No doubt doctors largely trust the opinions of their peers. However, there’s not nearly as much peer sharing as you might think. I remember another doctor I know in this physician’s practice which bought season tickets to the local college team’s basketball games. His idea was that he could go to the games with his peers. He couldn’t get any of them to go with him.

With these thoughts in mind, we’re chewing on how we at Healthcare Scene can help these practices out. One idea we have is to essentially create knowledge centers that will list all of the various companies and products that could help a small practice be more effective and efficient. We did this with EMR and EHR vendors in the past as many were looking for that type of list. We’re asking ourselves if we can do the same for other categories of software and services that could help doctors be more effective at what they do.

We’d love to hear your thoughts on this idea and any other ways we can help doctors discover new innovations. It’s a challenging idea since it isn’t like there’s one healthcare IT market for small practices. The needs vary by specialty, group size, location, etc etc etc. However, we’ll do our best. Plus, we’ll do like we always do and iteratively improve the lists over time.

One other idea I’m hoping to execute is to do as many origin stories for the products we list as possible. I think it’s extremely powerful to know the origin of a company and how they ended up with the solution they offer. Did they start this way? Did they acquire a company to get into the business? Did they start with another product and then pivot to what they’re doing today when they saw the opportunity? Knowing this information is powerful.

Hopefully in the future we can point to a vast library of knowledge centers that can better help a practice know about companies that can help them work more effectively and efficiently.

Using AI To Streamline EMR Workflow For Clinicians

Posted on May 10, 2017 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 FierceHealthcare.com 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.

Understandably, most of the discussion around AI use in healthcare focuses on data analytics for population health management and predictive analytics. Given the massive scale of the data we’re collecting, that’s no surprise.

In fact, one could argue that using AI technologies has gone from an interesting idea to an increasingly established parto the health IT mix. After all, few human beings can truly understand what’s revealed by terabytes of data on their own, even using well-designed dashboards, filters, scripting and what have you. I believe it takes a self-educating AI “persona,” if you will, to glean advanced insights from the eternity of information we have today.

That being said, I believe there’s other compelling uses for AI-fueled technologies for healthcare organizations. If we use even a relatively simple form of interpretive intelligence, we can improve health IT workflows for clinicians.

As clinicians have pointed out over and over, most of what they do with EMRs is repetitive monkey work, varied only by the need to customize small but vital elements of the medical record. Tasks related to that work – such as sending copies of a CT scan to a referring doctor – usually have to be done in another application. (And that’s if they’re lucky. They might be forced to hunt down and mail a DVD disc loaded with the image.)

Then there’s documentation work which, though important enough, has to be done in a way to satisfy payers. I know some practice management systems that integrate with the office EMR auto-populate the patient record with coding and billing information, but my sense is that this type of automation wouldn’t scale within a health system given the data silos that still exist.

What if we used AI to make all of this easier for providers? I’m talking about using a predictive intelligence, integrated with the EMR, that personalizes the way data entry, documentation and follow-up needs are presented. The AI solution could automatically queue up or even execute some of the routine tasks on its own, leaving doctors to focus on the essence of their work. We all know Dr. Z doesn’t really want to chase down that imaging study and mail it to Albany. AI technology could also route patients to testing and scans in the most efficient manner, adjusted for acuity of course.

While AI development has been focused on enterprise issues for some time, it’s already moving beyond the back office into day-to-day care. In fact, always-ahead-of-the-curve Geisinger Health System is already doing a great deal to bring AI and predictive analytics to the bedside.

Geisinger, which has had a full-featured EMR in place since 1996, was struggling to aggregate and manage patient data, largely because its legacy analytics systems couldn’t handle the flood of new data types emerging today.

To address the problem, the system rolled out a unified data architecture which allowed it to integrate current data with its existing data analytics and management tools. This includes a program bringing together all sepsis-vulnerable patient information in one place as they travel through the hospital. The tool uses real-time data to track patients in septic shock, helping doctors to stick to protocols.

As for me, I’d like to see AI tools pushed further. Let’s use them to lessen the administrative burden on overworked physicians, eliminating needless chores and simplifying documentation workflow. And it’s more than time to use AI capabilities to create a personalized, efficient EMR workflow for every clinician.

Think I’m dreaming here? I hope not! Using AI to eliminate physician hassles could be a very big deal.

Finding New Patients for Your Practice

Posted on May 9, 2017 I Written By

John Lynn is the Founder of the HealthcareScene.com 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 InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

In many practices, one of the biggest challenges they face is finding new patients for their practice. In some ways, technology has helped the situation, but in many ways technology has made this a real challenge for doctors.

Some recent data from Accenture Health provides an interesting look at one element of how patients find a medical practice.

When I saw this number I was shocked that it was so low. In the past, this number has been so much higher since finding a doctor from your health insurance company was the simple, logical way to make sure you were choosing a doctor which would take your insurance. Times are a changing.

When you look at the full report and the graph on how people find doctors, we learn even more:

Coming as no surprise is that highly digital patients leverage social media, internet searches and health websites to find a doctor at a much higher rate than those whom are less digital. However, what’s shocking to me is how much less the highly digital patient trusts the medical professional versus those that are less digital.

Not surprising is that friends and family is one of the most important factors for finding a doctor regardless of digital skills. Of course, it’s worth noting that in many cases, social media is really synonymous with friends and family. Social media is just the next generation of friends and family influence and communication.

What’s important to realize about these charts is that patients are quickly shifting from the less digital to the more digital category. So, 5 years from now we’re going to see a massive shift with how people find doctors. Social media, internet searches, health websites, and online ratings and review sites are going to continue to grow and become more important to practices looking for new patients.

What are you doing to prepare for this future?

MACRA Insights from Around the Twittersphere – MACRA Monday

Posted on May 8, 2017 I Written By

John Lynn is the Founder of the HealthcareScene.com 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 InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

This post is part of the MACRA Monday series of blog posts where we dive into the details of the MACRA Quality Payment Program.

For this week’s MACRA Monday, I thought I’d offer some insights and perspectives on MACRA from around the Twittersphere. There’s a lot of information about MACRA shared on Twitter and here are some of the best ones I found.


I admit that I’d never heard of BKDHelathcare before, but this 2 minute video offers some good insights into the MACRA decision making process.


SA Ignite is one of the top companies working on MACRA reporting tools. So, it’s no surprise that they’re producing some great content on how to approach MACRA, MIPS and APMs. I hadn’t thought about tracking MIPS even if you’re in an APM, but SA Ignite offers a number of good reasons why organizations might want to consider doing both.


I love a good infographic. We’ve covered most of this in MACRA Monday, but this might be useful for those of you who are just catching up with the details.


The above is a politically correct plea from a doctor. There are other pleas that are a little stronger:


and…

Unfortunately, the rebel forces currently aren’t large enough to move the needle. We’ll be watching to see if that changes.

Be sure to check out all of our MACRA Monday blog posts where we dive into the details of the MACRA Quality Payment Program.

Myth: Healthcare Is Different From Other Industries

Posted on May 5, 2017 I Written By

John Lynn is the Founder of the HealthcareScene.com 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 InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

If you don’t follow David Chou on Twitter, then you’re missing out on some really great content. This is particularly true if you’re a healthcare leader. A good example of this was the following tweet that David shared:

The topic of whether healthcare is different from other industries is an important one that’s worth discussing. The chart above and the research by McKinsey&Company would suggest that healthcare isn’t all that different from other industries. However, I think there’s a nuance in their reality check.

The nuance is that healthcare have similar expectations of healthcare as they do with other non-healthcare companies. However, that doesn’t assume that healthcare consumers act the same as they do in other industries.

There are great examples of this. When you’re in the back of an ambulance after a heart attack, you’re not acting like much of a consumer. They’re taking you to the hospital of their choice and you’re going to largely get the care that the ED feels you need. In what other industry does this occur? There are other examples like elective procedures in healthcare that are very much an experience like other industries.

What the study illustrated above does teach us is that even if the consumer decision making process in healthcare is different, there are core expectations that we have regardless of how we chose to interact with the healthcare system or not. There are some universal tenants and expectations that healthcare should remember:

  • Providing great customer service
  • Delivering on expectations
  • Making life easier
  • Offering great value

I’ve started to see more and more healthcare organizations worry about these tenants of a great patient experience. When you see it broken out like the above, it sounds so simple. Implementing the ideas can be amazingly tricky. However, this is exactly where I see healthcare headed.

EHRs Were Never Designed to Influence Medicine

Posted on May 4, 2017 I Written By

John Lynn is the Founder of the HealthcareScene.com 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 InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

This is a concept I’ve been chewing on for a couple years. When you look at the history of EHR software, EHRs were not designed to influence medicine. They weren’t designed to improve care. They weren’t designed to ensure patient safety. Looking back, they were designed as big billing and documentation engines.

When you look at their feature sets, this becomes abundantly clear. EHRs were designed to better help a practice document the visit and bill the insurance company. The idea of improving patient care, better patient safety and other ideas came along much later.

As I mentioned, I’ve written about this idea before. Usually, I proceed to talk about how doctors and practices that expect their EHR to improve care have been misled. I still think that’s largely the case and that expectations need to be adjusted. However, today I realized that there’s another important lesson that needs to be learned by the history of EHR software and that lesson is for EHR vendors.

EHR vendors need to realize that their systems weren’t designed to improve care. Write as many blog posts as you want. Add whatever signage you want to your exhibit hall booth or to your email campaigns. You still weren’t designed to improve care. This is not necessarily a bad thing, but it’s important that a company knows who it is and knows its limitations.

Think about how valuable it would be for an EHR vendor to come to this realization. Once they realize this to be the case, then their approach to working with other companies would shift dramatically. Instead of seeing other companies that do improve patient care as the enemy, they could see them as partners that could enable their EHR users to improve care. That’s right. An EHR software doesn’t have to be the end all be all.

Even if your EHR software can improve care in a few ways, this concept still applies. An EHR vendor has limited bandwidth. They can’t do everything and so they can’t improve care across every medical specialty and every opportunity. Even within a specialty, there are often innovations that other companies can provide that the EHR vendor doesn’t have time, expertise, knowledge, or capability to provide. This is why an EHR vendor that has amazing partner relationships is going to be so valuable moving forward.

I actually only know one EHR company that was truly started to modernize medicine. However, even they can’t do everything. Every EHR vendor will have to rely on partners if they really want to influence medicine the way they could and the way they should.