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Healthcare Orgs May Be Ramping Up Cybersecurity Efforts

Posted on August 18, 2017 I Written By

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

As I’ve noted (too) many times in the past, healthcare organizations don’t have a great track record when it comes to cybersecurity. Compared to other industries, healthcare organizations spend relatively little on IT security overall, and despite harangues from people like myself, this has remained the case for many years.

However, a small new survey by HIMSS suggests that the tide may be turning. It’s not incredibly surprising to hear, as health it leaders have been facing increasingly frequent cybersecurity attacks. A case in point: In a recent study by Netwrix Corp., more than half of healthcare organizations reported struggling with malware, and that’s just one of many ongoing cyber security threats.

The HIMSS cybersecurity survey, which tallies responses from 126 IT leaders, concluded that security professionals are focusing on medical device security, and that patient safety, data breaches and malware were their top three concerns.

In the survey, HIMSS found that 71% of respondents were allocating some of their budgets toward cybersecurity and that 80% said that their organization employed dedicated cybersecurity staff.

Meanwhile, 78% of respondents were able to identify a cybersecurity staffing ratio (i.e. the number of cybersecurity specialists versus other employees), and 53% said the ratio was 1:500 which, according to HIMSS is considered the right ratio for information-centric, risk-averse businesses with considerable Internet exposure.

Also of note, it seems that budgets for cybersecurity are getting more substantial. Of the 71% of respondents whose organizations are budgeting for cybersecurity efforts, 60% allocated 3% or more of their overall budget to the problem. And that’s not all. Eleven percent of respondents said that they were allocating more than 10% of the budget to cybersecurity, which is fairly impressive.

Other stats from the survey included that 60% of respondents said their organizations employed a senior information security leader such as a Chief Information Security Officer.  In its press release covering the survey, it noted that CISOs and other top security leaders are adopting cybersecurity programs that cut across several areas, including procurement and education/training. The security leaders are also adopting the NIST Cybersecurity Framework.

According to HIMSS, 85% of respondents said they conduct a risk assessment at least once a year, and that 75% of them regularly conduct penetration testing. Meanwhile, 75% said they had some type of insider threat management program in place within their healthcare organization.

One final note: In the report, HIMSS noted that acute care providers had more specific concerns was cybersecurity than non-acute care providers. Over the next few years, as individual practices merge with larger ones, and everyone gets swept up into ACOs, I wonder if that distinction will even matter anymore.

My take is that when smaller organizations work with big ones, everyone’s tech is set up reach the level better-capitalized players have achieved, and that will standardize everyone’s concerns. What do you think?

Analytics Take an Unusual Turn at PeraHealth

Posted on August 17, 2017 I Written By

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

Data scientists in all fields have learned to take data from unusual places. You’d think that monitoring people in a hospital for changes in their conditions would be easier than other data-driven tasks, such as tracking planets in far-off solar systems, but in all cases some creativity is needed. That’s what PeraHealth, a surveillance system for hospital patients, found out while developing alerts for clinicians.

It’s remarkably hard to identify at-risk patients in hospitals, even with so many machines and staff busy monitoring them. For instance, a nurse on each shift may note in the patient’s record that certain vital signs are within normal range, and no one might notice that the vital signs are gradually trending worse and worse–until a crisis occurs.

PeraHealth identifies at-risk patients through analytics and dashboards that doctors and nurses can pull up. They can see trends over a period of several shifts, and quickly see which patients in the ward are the most at risk. PeraHealth is a tool for both clinical surveillance and communication.

Michael Rothman, co-founder and Chief Science Officer, personally learned the dangers of insufficient monitoring in 2003 when a low-risk operation on his mother led to complications and her unfortunate death. Rothman and his brother decided to make something positive from the tragedy. They got permission from the hospital to work there for three weeks, applying Michael’s background in math and data analysis (he has worked in the AI department of IBM’s Watson research labs, among other places) and his brother’s background in data visualization. Their goal, arguably naive: to find a single number that summarizes patient risk, and expose that information in a usable way to clinicians.

Starting with 70 patients from the cardiac unit, they built a statistical model that they tested repeatedly with 1,200 patients, 6,000 patients, and finally 25,000 patients. At first they hoped to identify extra data that the nurse could enter into the record, but the chief nurse laid down, in no uncertain terms, that the staff was already too busy and that collecting more data was out of the question. It came time to get creative with data that was already being collected and stored.

The unexpected finding was that vital signs were not a reliable basis for assessing a patient’s trends. Even though they’re “hard” (supposedly objective) data, they bounce around too much.

Instead of relying on just vital signs, PeraHealth also pulls in nursing assessments–an often under-utilized source of information. On each shift, a nurse records information on a dozen different physical systems as well as essential facts such as whether a patient stopping eating or was having trouble walking. It turns out that this sort of information reliably indicates whether there’s a problem. Many of the assessments are simple, yes/no questions.

Rothman analyzed hospital data to find variables that predicted risk. For instance, he compared the heart rates of 25,000 patients before they left the hospital and checked who lived for a year longer. The results formed a U-shaped curve, showing that heart rates above a certain level or below a certain level predicted a bad outcome. It turns out that this meaure works equally well within the hospital, helping to predict admission to the ICU, readmission to the ICU, and readmission after discharge.

The PeraHealth team integrated their tool with the hospital’s EHR and started producing graphs for the clinicians in 2007. Now they can point to more than 25 peer-reviewed articles endorsing their approach, some studies comparing before-and-after outcomes, and others comparing different parts of the hospital with some using PeraHealth and others not using it. The service is now integrated with major EHR vendors.

PeraHealth achieved Rothman’s goal of producing a single meaningful score to rate patient risk. Each new piece of data that goes into the EHR triggers a real-time recalculation of the score and a new dot on a graph presented to the nurses. In order to save the nurses from signing into the EHR, PeraHealth put a dashboard on the nurse’s kiosk with all the patients’ graphs. Color-coding denotes which patients are sickest. PeraHealth also shows which patients to attend to first. In case no one looks at the screen, at some hospitals the system sends out text alerts to doctors about the most concerned patients.

PeraHealth is now expanding. In an experiment, they did phone interviews with people in a senior residential facility, and identified many of those who were deteriorating. So the basic techniques may be widely applicable to data-driven clinical decision support. But without analytics, one never knows which data is most useful.

Assembling The Right Stuff: The Keys to Gathering and Supporting A Successful EHR Go-Live Support Team

Posted on August 16, 2017 I Written By

The following is a guest blog post by Jaime Jaimes, Instructional Writer at Conduent, Breakaway Learning Solutions). Check out all of the blog posts in the Breakaway Thinking series.

For just a moment, put yourself in the shoes of a provider who needs to work with a new EHR. You’ve known that the EHR go-live event was impending, and now it’s here. You took the training, slipped a little job aid booklet in your pocket, and think you’ve got everything under control. But once you’re on the floor, you hit a sudden roadblock. Rifling through your packet in hopes of finding an answer could waste valuable time. What you really need is a friendly face to calmly talk you through that first hurdle and get you back on track.

This scenario is the reason that some physicians are identifying at-the-elbow support as a vital part of successful EHR implementation. A confident support team can create a calm and stable environment for your staff as they learn the ins and outs of their new system. But structuring your support strategy is easier said than done. Fortunately, I was able to sit down and discuss some key go-live support elements with two of Breakaway’s client services managers: Adam Koch and Meredith Wheelock.  Between them, they’ve overseen countless go-live events for hospitals and ambulatory locations alike, and they have three key pointers for any team planning a new EHR implementation or update.

Start assembling your support team early

Creating a support team is a daunting prospect. In our experience, at least a 1:3 support-to-learner ratio is the ideal level of staff training needed for a go live, a number backed up by online research journal Perspectives in Health Management. Beginning your search for the right people early on gives you the time to vet potential team members, and ensure they have the necessary certifications and experience specific to your go live. While you can get a team together in a month, we recommend starting the process two months or more before the event so that you can identify the right people and make sure they are prepared.

This may seem like a lot of time to invest, but having this at-the-elbow support can actually save you time at go live. A support team member can resolve questions and frustrating issues quickly, which in turn allows your staff to return to their other duties. Plus, the fact that the question was resolved in-the-moment, and in the environment in which your staff will likely face the issue again, increases the probability of knowledge retention and improves their confidence in using the system.

Get everyone on the same page

Even though you’re assembling a team of experts familiar with your EHR, you still need to make sure they’re all following the same workflows. This ensures your support team won’t teach different workflows to different departments or locations. Learning your best practices also means there won’t be a conflict between pre-go-live training and at-the-elbow assistance. After all, your staff expects help when they approach a support team member. If they get advice that contradicts their training, they will walk away feeling even more confused and frustrated, hindering their adoption progress. As this EHR Intelligence article notes, “Critical to the project’s success is supporting physician EHR users the right way at the right time.” Taking the time to teach your support team best practices is the easiest way to make sure you’re supporting your team the right way.

Establish lines of communication

A go-live event is a big endeavor, and even the best support team will encounter a quirk in the system they haven’t seen before. It’s at these times where having a defined path to escalate problems and share the solutions you generate will keep your EHR’s implementation on track. For those first few weeks, a daily touchpoint meeting with your support teams and site super-users can prove invaluable, as it allows everyone to identify pain points, troubleshoot issues, and come away with one clearly identified solution. Having this coordinated effort and standard way of communicating is critical for organizations large and small, and helps guarantee that even when a larger problem arises, your team doesn’t grind to a halt as you try to figure out the solution.

Your at-the-elbow support team is just one part of the successful go-live puzzle, but it’s a piece that can mean the difference between a frustrated staff and one that’s confident that this new EHR is just another part of their day.

Conduent is a sponsor of the Breakaway Thinking series of blog posts. Breakaway Learning Solutions is a leader in EHR and Health IT training. Download their Free Whitepaper “Leadership Insights: Gaining Value from Technology Investments.”

Diversity in HIT – #HITsm Chat Topic

Posted on August 15, 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.

We’re excited to share the topic and questions for this week’s #HITsm chat happening Friday, 8/18 at Noon ET (9 AM PT). This week’s chat will be hosted by Jeanmarie Loria (@JeanmarieLoria) from @advizehealth on the topic of “Diversity in HIT.”

Diversity has positioned itself at the forefront of social awareness for quite some time now, the apparent need for it heightened by the socio-political climate…but what exactly is diversity? Is it offering apples and oranges? Is it a mélange of people with different experiences and perspectives? Is it working to ensure that your practice or firm meets the standards of an equal opportunity employer? Diversity, in fact, is all of these things and more. Diversity is a noun, a controversy, a buzzword, and most importantly – a social responsibility that we as responsible citizens and harbingers of care should not take lightly.

Healthcare as an industry is inherently diverse, as both health and the subsequent care associated with it are universal needs. Accessibility, method of receipt, measures, and types of care may vary within each community – but the need for healthcare, of any kind, is an absolute. This is why the lack of diversity in healthcare and its peripheral workforces is so perplexing. Diverse needs should equate to diverse solutions; especially where technology plays an integral role. Consider for a moment the diversity (or lack thereof) in the tech industry. Does it parallel healthcare’s own diversity problem? To an extent, yes.

Enter the world of Healthcare IT and you’ll observe a similar deficit. Healthcare IT, an industry born out of the need for diverse solutions in data sharing, patient privacy, and quality of care is progressive in its achievements with the implementation of EHR, the utilization of AI to improve care delivery, and efforts to protect private information, but there is always room for improvement.

This chat will facilitate a discussion on how diversity applies to Healthcare IT considering both the workforce and the technologies developed; and will examine perspectives on diversity in Healthcare IT from those who eat, sleep, and breathe it.

Questions we will explore in this week’s #HITsm chat include:
T1: What words or phrases come to mind when you hear the term “diversity”? #HITsm #Diversity

T2: How is Healthcare IT affected by diversity in any capacity, and have we already seen an impact on the industry from diversity initiatives? #HITsm

T3: How can diversity be leveraged to improve patient care and/or outcomes? #HITsm

T4: Has the recent push for diversity had any NEGATIVE impacts on Healthcare IT? #HITsm

T5: Which is more important to the goals of Healthcare IT: diverse technologies or diverse people? #HITsm

Bonus: Should diversity in Healthcare IT be heralded as a priority, and how is your firm working towards achieving that goal? #HITsm

Upcoming #HITsm Chat Schedule
8/25 – Consumer Data Liquidity – The Road So Far, The Road Ahead
Hosted by Greg Meyer (@Greg_Meyer93)

9/1 – Digital Strategies for Improving Consumer Experience
Hosted by Kyra Hagan (@HIT_Mktg_Maven from @InfluenceHlth)

We look forward to learning from the #HITsm community! As always, let us know if you’d like to host a future #HITsm chat or if you know someone you think we should invite to host.

If you’re searching for the latest #HITsm chat, you can always find the latest #HITsm chat and schedule of chats here.

Despite Privacy Worries, Consumers Trust Apple With Their Health Data

Posted on August 14, 2017 I Written By

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

These days, everyone seems to want access to consumer health data. We’re talking not just about healthcare companies, but also financial firms, insurance companies and technology giants like Apple, Google and Amazon.

Consumers have every reason to be concerned how their data is used, as companies outside of the healthcare realm, in particular, might use it in ways that make them uncomfortable. After all, these health-related companies may not have to follow HIPAA rules. Not only that, laws that govern data collection of any kind are still evolving on the state and federal level. It’s just not clear where privacy rules for health data are going.

Troubling ambiguities like these may be why 37% of the 1,000-plus people responding to a new Twitter poll said they wouldn’t share their data with anyone. Perhaps they’ve begun to realize that companies like Google could do a lot of harm if they act recklessly with the health data they’re accumulating.

Nonetheless, there’s at least one company they trust more than others with their PHI, according to the poll, which was conducted by a CNBC writer. That company is Apple, says columnist Christina Farr. When asked which companies they trust with the health data, 41% picked Apple. Meanwhile, Google and Amazon came in at 14% and 8% respectively. That’s a pretty big gap.

Why do consumers trust Apple more than other technology companies?  It’s far from clear. But Andrew Boyd, a professor of biomedical and health information sciences at the University of Illinois, suggests that it’s because Apple has taken steps to foster trust. “Apple has done a big push around health and privacy to breed familiarity and comfort,” Boyd told CNBC.

He noted that Apple has announced plans to make aggregated health information available on smartphones. Next, it plans to integrate other medical data, such as lab results, which usually aren’t part of an integrated health record, Farr points out. Apple has also promised users that it won’t sell health data to advertisers or third-party developers.

Ideally, other companies should be following in Apple’s footsteps, suggests health data privacy expert Lucia Savage, who responded to the Twitter poll.

Savage, who is currently serving as chief privacy and regulatory officer at Omada Health, believes that any company that collects health data should at least provide consumers with a summary of the data they collect on their users and promise not to sell it. (She didn’t say so directly, but we know most non-healthcare firms can’t be bothered with such niceties.)

I think we all look forward to the day when every company takes health data privacy seriously. But giants like Google, with effectively infinite resources, are still pushing the envelope, and we can only expect its competitors to do the same thing. Unless consumers mount a massive protest, or there’s a radical change in federal law, I suspect most non-healthcare firms will keep using health data however they please.

Healthcare Security Cartoon – Fun Friday

Posted on August 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.

It’s Friday and school is beginning in a lot of places around the country. I know we’re ready for school to start in our house. They moved it up a couple weeks in Las Vegas and so we had a short summer, but we’re excited for the rhythm that school brings.

The last Friday in summer seems the perfect time for a Fun Friday blog post. This cartoon was shared by Fogo Data centers that highlights the always challenging balance between security and convenience.

Do your security policies seem a bit like this picture? Or do you edge on the other side of too convenient and not secure enough?

Patients Want Customizations – Just Not Too Much!

Posted on August 10, 2017 I Written By

The following is a guest blog post by Cristina Dafonte, Marketing Associate of Stericycle Communication Solutions as part of the Communication Solutions Series of blog posts. Follow and engage with them on Twitter:@StericycleComms
cristina-dafonteEverything around us is customizable: your laptop background, the layout of applications on your phone, any product dashboard you have access to. Customization sells, and consumers crave it. Consumers love to think that something is unique or special for just them, even if they know in their hearts that isn’t the case.

Patient engagement, especially appointment reminders, shouldn’t be the exception to the rule. We’ve far surpassed the days of the robo-dialer letting you know your doctor’s office was calling. Today, patients look for custom communications.

There are two ends of the spectrum that I have seen with customization of appointment reminders. The first is no customization at all.

Example: My dentist sends an email that is “Please click to confirm your appointment. We look forward to seeing you!” And includes a large CONFIRM button.

This message leaves me wondering a few things: when is my appointment? Which dentist am I seeing? What if I need to reschedule? What kind of appointment did I schedule? The message wasn’t personalized to my appointment or to me.

The second end of the spectrum is too much customization. I didn’t know it was possible to personalize a message too much until I received the following text message from my eye doctor:

(1/2) Hi Cristina, your contacts are ready for pick up. Please stop by the office at your earliest convenience to get them. Our office hours are 7-3pm on the first Monday of every month, 8-4pm every

(2/2) other Tuesday, and 8-6pm on the second Thursday of every month, and 7-12pm on Friday. Thank you for choosing [my eye doctor].

The first time I received that text message, I read it at least 3 times, trying to figure out what the office hours were for the day I needed to go get my contacts! That, my friends, is a reminder with too much customization.

Fortunately, the team at Stericycle Communication Solutions has figured out just the right amount of customization. Our patient communications are built on 4 pillars:

  1. Arrive: what needs to be done when the patient arrives
  2. Bring: what they need to bring for the appointment
  3. Prep: if there is any pre-appointment prep work that needs to be completed
  4. Do: any specific instructions for the patient’s arrival.

These best practices ensure that the patient feels the communication is specifically for them and that they have enough information to confidently and comfortably arrive at the office – without feeling bombarded with facts or instructions.

Want to learn more about Stericycle Communication Solutions’ patient engagement customizations? Download our FREE overview “Customizing Your Patient Engagement.”

The Communication Solutions Series of blog posts is sponsored by Stericycle Communication Solutions, a leading provider of high quality call center & telephone answering servicespatient access services and automated communication technology. Stericycle Communication Solutions combines a human touch with innovative technology to deliver best-in-class communication services.  Connect with Stericycle Communication Solutions on social media: @StericycleComms

Wellpepper and SimplifiMed Meet the Patients Where They Are Through Modern Interaction Techniques

Posted on August 9, 2017 I Written By

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

Over the past few weeks I found two companies seeking out natural and streamlined ways to connect patients with their doctors. Many of us have started using web portals for messaging–a stodgy communication method that involves logins and lots of clicking, often just for an outcome such as message “Test submitted. No further information available.” Web portals are better than unnecessary office visits or days of playing phone tag, and so are the various secure messaging apps (incompatible with one another, unfortunately) found in the online app stores. But Wellpepper and SimplifiMed are trying to bring us a bit further into the twenty-first century, through voice interfaces and natural language processing.

Wellpepper’s Sugarpod

Wellpepper recently ascended to finalist status in the Alexa Diabetes Challenge, which encourages research into the use of Amazon.com’s popular voice-activated device, Alexa, to improve the lives of people with Type 2 Diabetes. For this challenge, Wellpepper enhanced its existing service to deliver messages over Amazon Echo and interview patients. Wellpepper’s entry in the competition is an integrated care plan called Sugarpod.

The Wellpepper platform is organized around a care plan, and covers the entire cycle of treatment, such as delivering information to patients, managing their medications and food diaries, recording information from patients in the health care provider’s EHR, helping them prepare for surgery, and more. Messages adapt to the patient’s condition, attempting to present the right tone for adherent versus non-adherent patients. The data collected can be used for analytics benefitting both the provider and the patient–valuable alerts, for instance.

It must be emphasized at the outset that Wellpepper’s current support for Alexa is just a proof of concept. It cannot be rolled out to the public until Alexa itself is HIPAA-compliant.

I interviewed Anne Weiler, founder and CEO of Wellpepper. She explained that using Alexa would be helpful for people who have mobility problems or difficulties using their hands. The prototype proved quite popular, and people seem willing to open up to the machine. Alexa has some modest affective computing features; for instance, if the patient reports feeling pain, the device will may respond with “Ouch!”

Wellpepper is clinically validated. A study of patients with Parkinson’s showed that those using Wellpepper showed 9 percent improvement in mobility, whereas those without it showed a 12% decline. Wellpepper patients adhered to treatment plans 81% of the time.

I’ll end this section by mentioning that integration EHRs offer limited information of value to Wellpepper. Most EHRs don’t yet accept patient data, for instance. And how can you tell whether a patient was admitted to a hospital? It should be in the EHR, but Sugarpod has found the information to be unavailable. It’s especially hidden if the patient is admitted to a different health care providers; interoperability is a myth. Weiler said that Sugarpod doesn’t depend on the EHR for much information, using a much more reliable source of information instead: it asks the patient!

SimplifiMed

SimplifiMed is a chatbot service that helps clinics automate routine tasks such as appointments, refills, and other aspects of treatment. CEO Chinmay A. Singh emphasized to me that it is not an app, but a natural language processing tool that operates over standard SMS messaging. They enable a doctor’s landline phone to communicate via text messages and route patients’ messages to a chatbot capable of understanding natural language and partial sentences. The bot interacts with the patients to understand their needs, and helps them accomplish the task quickly. The result is round-the-clock access to the service with no waiting on the phone a huge convenience to busy patients.

SimplifiMed also collects insurance information when the patient signs up, and the patient can use the interface to change the information. Eventually, they expect the service to analyze patient’s symptom in light of data from the EHR and help the patient make the decision about whether to come in to the doctor.

SMS is not secure, but HIPAA does not get violated because the patient can choose what to send to the doctor, and the chatbot’s responses contain no personally identifiable information. Between the doctor and the SimplifiMed service, data is sent in encrypted form. Singh said that the company built its own natural language processing engine, because it didn’t want to share sensitive patient data with an outside service.

Due to complexity of care, insurance requirements, and regulations, a doctor today needs support from multiple staff members: front desk, MA, biller, etc. MACRA and value-based care will increase the burden on staff without providing the income to hire more. Automating routine activities adds value to clinics without breaking the bank.

Earlier this year I wrote about another company, HealthTap, that had added Alexa integration. This trend toward natural voice interfaces, which the Alexa Diabetes Challenge finalists are also pursuing, along with the natural language processing that they and SimplifiMed are implementing, could put health care on track to a new era of meeting patients where they are now. The potential improvements to care are considerable, because patients are more likely to share information, take educational interventions seriously, and become active participants in their own treatment.

More About Artificial Intelligence in Healthcare – #HITsm Chat Topic

Posted on August 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.

We’re excited to share the topic and questions for this week’s #HITsm chat happening Friday, 8/11 at Noon ET (9 AM PT). This week’s chat will be hosted by Prashant Natarajan (@natarpr) on the topic of “More About Artificial Intelligence in Healthcare.” Be sure to also check out Prashant’s HIMSS best selling book Demystifying Big Data and Machine Learning for Healthcare to learn about his perspectives and insights into the topic.

Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it.

The potential for big data in healthcare – especially given the trends discussed earlier is as bright as any other industry. The benefits that big data analytics, AI, and machine learning can provide for healthier patients, happier providers, and cost-effective care are real. The future of precision medicine, population health management, clinical research, and financial performance will include an increased role for machine-analyzed insights, discoveries, and all-encompassing analytics.

This chat explores participants thoughts and feelings about the future of artificial intelligence in the healthcare industry and how healthcare organizations might leverage artificial intelligence to discover new business value, use cases, and knowledge.

Note: For purpose of this chat, “artificial intelligence” can mean predictive analytics, machine learning, big data analytics, natural language processing and contextually intelligent agents.

Reference Materials

Questions we will explore in this week’s #HITsm chat include:
T1: What words or short phrases convey your current thoughts & feelings about ‘artificial intelligence’ in the healthcare space? #HITsm #AI

T2: What are big & small steps healthcare can take to leverage big data & machine learning for population health & personalized care? #HITsm

T3: Which areas of healthcare might be most positively impacted by artificial intelligence? #HITsm #AI

T4: What are some areas within healthcare that will likely NOT be improved or replaced by artificial intelligence? #HITsm #AI

T5: What lessons learned from early days of ‘advanced analytics’ must not be forgotten as use of artificial intelligence expands? #HITsm #AI

Bonus: How is your organization preparing for the application and use of artificial intelligence in healthcare? #HITsm #AI

Upcoming #HITsm Chat Schedule
8/18 – Diversity in HIT
Hosted by Jeanmarie Loria (@JeanmarieLoria) from @advizehealth

8/25 – Consumer Data Liquidity – The Road So Far, The Road Ahead
Hosted by Greg Meyer (@Greg_Meyer93)

We look forward to learning from the #HITsm community! As always, let us know if you’d like to host a future #HITsm chat or if you know someone you think we should invite to host.

If you’re searching for the latest #HITsm chat, you can always find the latest #HITsm chat and schedule of chats here.

eClinicalWorks Settlement Hasn’t Led To Customer Defections, Yet

Posted on August 7, 2017 I Written By

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

Loyalty is a funny thing. You’d think that when a vendor let you down spectacularly, you wouldn’t do business with them anymore. But the truth is, when it comes to health IT it’s not that simple. In many cases, vendor-customer relationships are more like marriages than formal agreements. Even if things start to go south, customers have so much invested in their vendor relationship that backing out may not seem like a realistic possibility.

Yes, I’m pontificating here, but not without a point. What I’m responding to here is a recent KLAS survey which found that while many customers of the now-tarnished eClinicalWorks have lost confidence in the company, many are still on board for now.

As many readers will know, in May eCW settled a whistleblower suit against the company for $155 million. The suit, which was brought by the US Department of Justice, asserted that the vendor got certified for incentive payments by putting deceptive kludges in place.

After agreeing to pay a massive penalty to the feds and putting a “Coprrporate Integrity Agreement” in place, it’s little wonder that some customers don’t trust eCW anymore. But the reality of the situation is that they’re not exactly free to jump ship either.

The study, which was reported on in HIT Consultant, found that 66% of customers polled by KLAS said their perception of eCW had moderately or significantly worsened after the settlement. Meanwhile, 34% of current eCW customers plan to look elsewhere when they make their next health IT investment.

Another third of respondents said they felt stuck in their current eCW contract, though they would consider switching vendors when the contract expires or they have more resources to invest. Still, only 4% of KLAS respondents said they were leaving specifically because of the settlement.

Meanwhile, there’s apparently a subset of eCW customers who aren’t that worried about the settlement or its implications. One-third of respondents said that it had little impact on them, and some noted that eCW is probably just the first of many vendors whose meaningful use certification will be called into question.

The reality is that while eCW customers were a bit shaken by the settlement, it didn’t exactly come as a shock that the vendor was playing it close to the edge, with one-fifth noting that the settlement was “unsurprising.”

I would tend to side with the eCW customers who predict that this settlement is the tip of the iceberg, and that it’s likely to come out that other health IT vendors were gaming the certification process. The question is whether these settlements will merely inconvenience providers or lead to serious problems of their own. If the feds ever decide that providers should have known about faked certifications, the game will get a lot more complicated.