Fueled by the increased use of connected medical devices for patient care, the number of remotely monitored patients grew 44% in 2016, according to a report by Berg Insight, a market research firm in Sweden.
With that expanded role for connected devices, some7.1 million patients were being remotely monitored worldwide as of last year, the report says. Personal health tracking devices are not included in the report.
Furthermore, Berg Insight predicts that the number of remotely monitored patients will grow to 50.2 million by 2021
Using patients’ own mobile devices is also becoming a viable remote patient monitoring strategy; Berg Insight forecasts that by 2021 that bring your own device approach will be used for remotely monitoring 22.9 million patients.
“Care delivery platforms and mHealth connectivity solutions are two of the most rapidly developing parts of the mHealth technology value chain,” the report states. “Care delivery platforms will be instrumental for engaging patients in their own care and delivering remote [patient] monitoring services to a large number of people in a cost efficient way.”
While the benefits of remote patient monitoring are clear and the adoption of these technologies continues to grow, this trend also comes with its challenges.
For one, the report mentions the strong trend towards creating more connectivity in medical devices. Although connecting medical devices has its benefits it turns out that such devices also create serious security vulnerabilities to healthcare organizations.
In fact, Karl West, CISO at Intermountain Healthcare in Salt Lake City, Utah, told SearchHealthIT last year that medical devices are the new threat landscape.
Meanwhile, the report says health-related apps and devices can generate huge amounts of data, and healthcare organizations are struggling to not only handle and store all that data but make sense of and derive value from it.
One strategy many are turning to is third party cloud technologies. When using the cloud it’s “important for end users, doctors and care giving institutions is to choose a place where as many standards as possible are followed and where it is as easy as possible to export the data,” according to the report.
Attending the 2017 HIMSS conference — my very first foray into the largest annual health IT gathering — was daunting, to say the least.
Navigating the massive Orange County Convention Center and adjoining Hyatt Regency, hundreds of exhibitor booths, as well as juggling interviews and social media, made me realize that perhaps my multitasking skills have been woefully overstated.
In tackling the CIO Forum Sunday, my S Health app alerted me that I had broken my previous record for steps with 17,838 steps. Not surprisingly, I set my previous record of 16,841 steps back at my first health IT conference, the Connected Health Symposium, in Boston in October 2016.
In the midst of the “HIMSSanity,” I gained a new appreciation for health IT and the innovations that are changing healthcare. From artificial intelligence and cognitive computing to precision medicine, the technologies on display and discussed during the sessions at the 2017 HIMSS conference have the potential to help providers improve how they deliver care and help patients take more control of their own health.
At one session, Greg Caressi, vice president of the healthcare and life sciences group at Frost & Sullivan, talked about the role of mHealth in healthcare. While mHealth allows patients to better manage their health, not all physicians think patients are capable of that task. In the U.S., 81% percent of patients said they could manage their own health, Caressi said, but only 41% of doctors agreed.
Healthcare VC year over year
That statistic seemed to be reflected in venture capital spending as well. In 2015, venture capitalist spending broke down as follows:
- Healthcare consumer engagement – $629 million
- Wearables and biosensing – $499 million
- Personal health tools and tracking – $409 million
- Payer administration – $263 million
- Telemedicine – $236 million
In comparison, in 2016, venture capital spending broke down as follows:
- Genomics and sequencing – $410 million
- Analytics/big data – $341 million
- Wearables and biosensing – $312 million
- Telemedicine – $287 million
- Digital medicine devices – $268 million
Future role of tech in health IT
One other takeaway from the 2017 HIMSS conference came during the keynote of Joel Selanikio, M.D., on the role of technology in improving care. Selanikio offered a provocative quote from digital medicine researcher Eric Topol, M.D., author of The Patient Will See You Now.
Topol said he didn’t see EHR vendors like Epic and Cerner being around in 10 years — a prognostication that seemed at odds with those giants’ unmistakable presence in the exhibition hall. Selanikio disagreed and said he thinks they will be, but maybe not in the same form in which they currently exist.
Selanikio’s advice to the audience, and one that those in health IT would be wise to heed, was: “Be adaptable.” Who knows how the 2027 HIMSS conference will look like compared to the 2017 HIMSS conference? I guess we’ll just have to wait and see.
The HIMSS 2017 conference, as usual, put up some good numbers.
This year’s edition of the country’s biggest annual gathering of the health IT tribes registered attendance of 42,286.
That crowd was enough to jam Orlando’s capacious Orange County Convention Center and signal that health IT as an industry is in robust health, even if a lot of the chronically ill patients HIMSS vendors are trying to manage are not.
The HIMSS 2017 conference was notable, among other things, for pretty much unfolding without controversy about some major government regulatory issue, such as the meaningful use and information blocking wars of recent years.
Sure, CMS and ONC were at the HIMSS 2017 conference, but their people, by their own admission, didn’t have much to say about their and their agencies’ roles under the new Trump administration.
Jean Moody-Williams, CMS chief strategy officer for the Quality Payment Program under the MACRA healthcare law, said only somewhat jokingly at a packed HIMSS session on the QPP, after being asked to comment on what to expect under the new administration: “I came up here not to say much.”
This is the first year physicians will track a range of QPP quality measures to both avoid Medicare penalties and earn bonus reimbursement. Reimbursement changes are scheduled to start in 2018.
“I do know this is pressing on everyone’s minds. Our priority right now and the direction we have been given is to implement year one policy as it was finalized,” Moody-Williams said, noting that new HHS secretary Tom Price only recently assumed his post a week before the HIMSS 2017 conference. “We are having discussions and as we move into year two and we know more then we’ll be able to give you additional information … all of which you will have the opportunity to comment on.”
One somewhat surprising development was the significant presence of medical imaging at a show that traditionally has revolved around EHRs and their adjunct software technologies.
Evidence of this was a standing room only crowd of 80-plus at a joint HIMSS-Society for Imaging Informatics in Medicine workgroup at the show, an almost unheard of level of attendance.
Monique Rasband, imaging analyst at the KLAS Enterprises health IT market research firm, who was at the meeting, told me that she sees the surge in interest in imaging at HIMSS as a distinct sign that it is becoming part of mainstream health IT.
“Now you’re seeing CIOs and CMIOs taking an active interest in enterprise imaging,” Rasband said.
HIMSS 2017 also was something of a Mecca for the health IT twitterati, with health IT blog publisher John Lynn holding a series of well-attended tweetups.
Toward the end of the frantically busy show, Lynn tweeted out a new HIMSS-related fake ICD-10 code: “HMS17.ORL32: Walked into a lamppost while double-fisting tweeting. Subsequent encounter.”
Health data breaches triggered by hacking attacks spiked by 320% in 2016 and ransomware became widespread, according to a report by a health IT cybersecurity firm.
Released the week before HIMSS 2017, the report from CynergisTek, Inc. division Redspin, said that 81% of the health data breaches were caused by hacker attacks specifically, rather than other lost or physically stolen records.
Cybersecurity of health data is expected to be a major topic at the 2017 conference and exhibition of the Healthcare Information Management Systems Society in Orlando.
(CynergisTek was acquired in 2016 by document management company Auxilio, and Redspin, a HIPAA risk assessment and penetration risk company previously acquired by Auxilio, became part of CynergisTek’s portfolio.)
The report also noted that 2016 was the first year that a hospital had been victimized by ransomware by paying a ransom to unlock its data network, and that many smaller hospitals and clinics were hit by hackers causing health data breaches, in addition to several major healthcare systems.
“Healthcare providers have become the primary targets of malicious hackers, and their attacks are becoming increasingly sophisticated and disruptive to operations,” said Dan Berger, Vice President at CynergisTek, said in a release.
Key findings of the report:
- There were 325 large health data breaches, compromising the protected health information (PHI) of 16,612,985 individual patients.
- The year’s single largest incident involved the health data breach of 3,620,000 patient records.
- Some 40% of large health data breaches involved unauthorized access or disclosure of the records.
Incidentally, SearchHealthIT will be interviewing CynergisTek CEO and co-founder Mac McMillan at HIMSS 2017 and will be sure to ask him about what health system CIOs can do to combat the hacker scourge.
Machine learning is a hot topic in healthcare right now. One health IT expert told SearchHealthIT that he predicts machine learning and artificial intelligence will move quickly in the industry and be applied to many different use cases.
And it seems cybersecurity is one strong use case. Even at the upcoming HIMSS 2017 conference in Orlando, Fla., there are multiple sessions discussing the role artificial intelligence and machine learning in healthcare cybersecurity will play.
According to a report by ABI Research, a market research company based in Oyster Bay, N.Y., predicts that this trend of AI and machine learning in healthcare cybersecurity and cybersecurity in general will also boost big data, intelligence and analytics spending to $96 billion by 2021 in every industry sector including healthcare.
The report also said that the cybersecurity industry is heavily investing in machine learning with the hope of providing a more dynamic deterrent to cyberattacks.
“We are in the midst of an artificial intelligence security revolution,” Dimitrios Pavlakis, Industry Analyst at ABI Research, said in a press release. “This will drive machine learning solutions to soon emerge as the new norm beyond Security Information and Event Management, or SIEM, and ultimately displace a large portion of traditional AV, heuristics, and signature-based systems within the next five years.”
The report predicts that IBM will be a major player in this space — especially when it comes to machine learning in healthcare cybersecurity — and will transform the way enterprises employ machine learning.
“This radical transformation is already underway and is occurring as a response to the increasingly menacing nature of unknown threats and multiplicity of threat agents,” Pavlakis said in the release.
While more than half of the country has enacted telemedicine parity laws, restrictions on the types of telemedicine technology that are covered by health insurance often prevent patients from being able to use remote services, according to the American Telemedicine Association (ATA).
Telemedicine parity means that telemedicine encounters are covered by health plans at similar rates as in-person visits. But lack of reimbursement by insurance payers — Medicare, Medicaid and commercial payers — has long been a barrier to telemedicine use. However, improvements are on the way — it is expected that Medicaid programs in all 50 states will cover some form of telemedicine in 2017.
Today, 31 states and the District of Columbia have telemedicine parity laws — up from 21 states in 2014, the first year of the ATA’s 50 State Telemedicine Gaps Analysis. Twenty-four of those states and D.C. have no restrictions on what type of technology can be used. However, 20 states either have no telemedicine parity laws or have several “artificial barriers” to parity.
Despite the ubiquity of smart phones, five states prohibit the use of “video phone” or “cell phone video” for telemedicine: Idaho, Missouri, New York, North Carolina and South Carolina. Idaho, North Carolina and South Carolina cover interactive audio-video, or videoconferencing, only. North Carolina requires a provider to be on premises with the patient and South Carolina requires a telepresenter — typically a nurse who is trained to use the technology — for all audio-video encounters. South Carolina also does not cover remote patient monitoring (RPM) for chronic disease management in the patient’s home.
“Artificial barriers” such as technology type — including RPM — are “harmful and counterproductive,” and prevent patients from being able to realize the benefits of telemedicine, the ATA said in its analysis.
You may be using your personal wearable fitness device, whether an Apple Watch or Fitbit, to simply track your fitness or how many steps you take in a day. However, it turns out that these personal wearable fitness devices are much more powerful and able to do more than most may think.
Recent research published in PLOS Biology discovered that wearables that continuously log information such as heart rate, skin temperature, and even oxygen saturation can help detect when someone is about to get sick.
Michael Snyder, a professor and chair of genetics at Stanford University and the senior author of the study published in PLOS Biology said in an article that his team was surprised that these wearable devices were effective in detecting the start of the flu or even Lyme disease.
The article explained that because these personal wearable fitness devices continuously track and monitor vital signs like heart rate it produces a dense set of data meaning that when abnormalities arise they stand out.
Over the course of two years, participants monitored their vital signs using personal wearable fitness devices, the article said, and one participant included the senior author of the study, Snyder himself.
Snyder said in the article that during that two-year period at one point the wearable device he wore detected marked changes in his heart rate and skin temperature that was different from his baseline. It turns out that after a test two weeks later he had contracted Lyme disease.
Snyder added in the article that he and his team are interested in exploring the role wearable technology can play in achieving personalized or precision medicine and genomics given its ability to detect illnesses. He pointed out that genomics and personalized medicine are really all about detecting and catching diseases early and he believes that wearable devices are set up to do just that.
Explore the aforementioned PLOS Biology research here.
A recent eye health study found that patient-reported data doesn’t always get recorded in a patient’s electronic health record (EHR), raising questions about the accuracy of clinical documentation.
Investigators from the Department of Ophthalmology and Visual Sciences at the University of Michigan Medical School compared patient-reported symptoms with the symptoms recorded in the EHR. The researchers found that of 162 patients surveyed, there were only 38 exact matches between the patient-reported symptoms and the EHR documentation. When the patient reported three or more symptoms, the EHR never had exact agreement.
While the major mismatch between patient-reported data and EMR documentation was the failure to capture patient-reported symptoms, there were also instances of symptoms incorrectly being recorded for patients who did not report that problem. For example, blurry vision was inaccurately identified as a symptom for 29 patients, but was only accurately recorded for 26 patients.
The inconsistency between patient-reported data and clinical documentation led the researchers to conclude, “documentation of symptoms based on [EHR] data may not provide a comprehensive resource for clinical practice or ‘big data’ research.” In other words, since EHR data may not provide a complete view of a patient’s health, it can impact the quality of care the patient receives. Inaccuracies in EHR data could also preclude its use in research studies until it is consistent with patient-reported data.
Maria Woodward, M.D., assistant professor of ophthalmology and visual sciences at the University of Michigan, said in a release, “Many parties in health care use the electronic health records now, and they expect the data to accurately reflect the interaction with the doctor.”
Woodward said neither the patient nor doctor is at fault for the inconsistency, but that it highlights an opportunity to improve doctor-patient communication. Woodward said by using a self-reporting system prior to a visit, the doctor and patient can spend more time talking about symptom management rather than identifying symptoms.
Cries of protest arose when the Joint Commission prohibited secure texting of computerized physician order entries, but now the level of disenchantment among some in the secure text messaging business has ratcheted up with one prominent vendor calling for an straight up reversal of the CPOE ban.
In December, the commission, in conjunction with CMS, clarified its recent statements on secure texting by allowing a range of healthcare uses for texting, but explicitly barring it for CPOE. That move spurred much grumbling among the growing ranks of secure messaging vendors.
Now, Galina Datskovsky, CEO of Vaporstream, a Chicago-based secure messaging vendor, is calling on the commission to reconsider and reverse the CPOE prohibition.
“You need to drop the ban, but you can’t allow just any kind of messaging either,” Datskovsky said, adding that it’s reasonable for the commission to mandate such safeguards as read-and-receipt or automatic feed to EHR features. “To outright ban it seems out of touch with the times and reality.”
Datskovsky noted that HIPAA-compliant secure messaging companies such as Vaporstream and others provide permanent records of text messaging strings that can be used to later verify if physicians or nurses submitted or transcribed orders accurately.
She maintained that while the commission allowed phone CPOE, phone communications are usually not recorded or preserved and can often lead to inaccuracies due to bad connections, dropped or static-marred lines and other problems.
“Voice can be ambiguous,” she said.
Also, Datskovsky said text and chat have become so prevalent in the increasingly mobile-first worlds of healthcare and other industries that it has almost reached the status of the preferred communication mode for professionals across many industries. Vaporstream sells into various vertical industries, but healthcare is its biggest sector, she said.
Texting is also usually faster than calling, she said, an advantage in many medical situations when speed is of the essence.
“Everybody texts. It’s just the way of the world,” Datskovsky said. “It’s really difficult in today’s world to get someone on the phone expeditiously. I think it’s actually more dangerous for the patient if you have to wait for a voice confirmation.”
The commission in its December 2016 statement cited, among other reasons, these rationales for the CPOE texting ban:
- A burden on nurses to manually transcribe text orders into the EHR
- Verbal orders can be clarified but texting is asynchronous and requires an extra step
- Texting may add other extra steps by requiring the doctor or nurse to text multiple times for clarification
In any event, the expectation in the wider health IT community is the commission’s ruling will stand.
But don’t be too sure. The commission has reversed itself before.
In 2011 it banned all texting in healthcare, and then in May 2016 lifted that blanket ban, citing technology advances in secure messaging.
President Donald Trump has already begun the process of repealing the Affordable Care Act, known as Obamacare, by signing an executive order that allows certain government officials and entities to begin the process of dismantling the law.
Some health IT experts have said that they believe, despite Trump’s mission to repeal Obamacare, the effort towards value-based care will remain largely untouched. These experts explained that this is because regulations like the Medicare Access and CHIP Reauthorization Act (MACRA), which pushes healthcare towards value-based care, received strong bipartisan support when Congress approved the law in 2015.
However, it seems some major healthcare organizations are concerned about the future of value-based care. On January 25, the groups—including the American Hospital Association, the American Medical Association, Blue Cross Blue Shield and others—sent a letter to President Trump and other political leaders urging them to accelerate the transition from fee-for-service to value-based care, not impede it.
In the letter, the healthcare organizations outlined 10 principles for value-based care:
- Empower and engage patients to make healthcare decisions with information and support from their healthcare team.
- Invest in engaging patients in the development of measures of provider performance that are relevant to them and consistently and transparently reported by all public and private payers.
- Improve clinician and provider access to timely, accurate and complete claims data to better perform care management.
- Recognize that the socioeconomic status of many patients creates challenges in providing care and adjust payments to providers as appropriate.
- Design voluntary payment models that incentivize more participation and achieve the highest quality and cost value based on patient choice and competitive markets.
- Expand the use of waivers from fee-for-service legal and regulatory requirements that impede collaboration and shared accountability, while preserving consumer protections and safeguards against fraud.
- Build on and expand payment models that promote collaborative financial and care coordination arrangements using incentives that align payers, healthcare providers, providers of long-term care services and clinicians.
- Appropriately incentivize access to medical innovations and treatments that could improve quality of care and reduce overall system cost
- Promote public and private investment in the evidence-based testing and scaling of new alternative payment models as directed in MACRA so that clinicians, other healthcare providers and payers can learn how payment models work.
- Ensure alignment between private and public sector programs, which is important to a value-based payment marketplace.