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The Latest Trends in Nursing Technology

The Latest Trends in Nursing Technology | Healthcare and Technology news | Scoop.it

If trying to make sense of the stock market is enough to have you ready for a straitjacket. It is much easier to let your 401(k) do its thing and not think about it too often. The same can’t be said for those of us in the healthcare industry even though it feels like things are changing as rapidly as they do on Wall Street. Between the legislative changes, corporate mergers, innovative technologies, and everything else that is happening in our industry, it is enough to make your head spin. Let’s look at trends and technologies that will become more commonplace in 2018 and beyond.

 

Patient Engagement. As with most industry trends, nurses are on the front lines of patient engagement efforts. If you haven’t already been exposed to the concept, patient engagement is the practice of a patient taking more responsibility for their own health and well-being. When providers and patients work together, health outcomes are improved. New technologies are being developed to support patient engagement, and nurses are finding themselves more involved in helping evolve engagement efforts for their patients.

 

Precision Medicine. Another newer concept that will ultimately involve nurses providing direct care to patients, Precision Medicine, refers to the advancement of medical research that targets how certain diseases impact people differently based on their genetic makeup. It may include different treatments for certain types of cancers based on the genetics of the tumor. Precision medicine is an acknowledgment that healthcare is never one-size-fits-all and treatments are being adapted to the individual rather than the disease.

 

Centralized Command Centers. Inspired by NASA, many hospitals are implementing command centers that serve as a “mission control” for all of the services and functions related to patient care. Today’s nurses are finding themselves able to interact with the second set of eyes and also have help in managing daily bottlenecks. These command centers are also being utilized for central monitoring of patients to overcome alarm fatigue from the 90% of hospital alarms that aren’t actionable. The centers utilize complex algorithms and analytics to assist nurses in making real-time decisions to improve quality of care and reduce costs.

 

Smarter Smartphones? All of us are already using our smartphones for just about everything we track, post, and read lately, so nurses using them for their work is not surprising. One example of ways that nurses are able to use their smartphone is called Steth IO, which turns your phone into a modernized stethoscope. A special case is attached to your iPhone (not yet available for Android) and channels the sounds of a patient’s heart and breathing into the microphone. The Steth IO app then digitizes the heartbeat into a graph on the phone screen to record and enable easier detection of abnormal heart sounds.

 

Overcoming Language Barriers. As our nation’s population becomes more diverse, nurses are finding themselves in more frequent situations where patients speak a language other than English. This often leads to another nurse who speaks the language being brought in to translate. By September of this year, a hand-held, two-way voice translator, The Pocketalk, will be available to translate up to 63 languages in real time. Working via Wi-Fi, mobile data, or a personal hotspot, the translator transfers speech to text on the screen and relays responses verbally. Nurses will also be able to save up to 20 exchanges to assist with post-visit notes and charting.

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Digital Health Technologies for Alzheimer’s Disease

Digital Health Technologies for Alzheimer’s Disease | Healthcare and Technology news | Scoop.it

According to The Alzheimer’s Association, there are over 5 million Americans with Ad. It is the sixth leading cause of death. More than 15 million caregivers provided an estimated 18.1 billion hours of unpaid care at a value of approximately $221.3B. The impact of this disease is also well-illustrated in a recent  PBS documentary.  While it might seem incongruous on the surface to discuss digital technology and a population with significant cognitive challenges, I will illustrate how it can be beneficial at different stages of the disease’s course.

 

Cognitive Assessment Tools.  Most tools for assessing cognitive abilities have been of the traditional written form, as offered by the Alzheimer’s Association.  The ability of digital tools to detect early diagnosis of Ad is important in medical and social planning for the patient and family. Some have taken traditional diagnostic tools and transformed them into a digital platform. Such is the case with Quest Diagnostics’ CogniSense.  A more transformational approach is one seen with a utilization of the Anoto Pen which can measure the writing instrument’s position up to 80 times per second. An exciting study by the Lahey Medical Center and MIT’s Computational Science and Artificial Intelligence Laboratory looked at using the Anoto Pen versus traditional cognitive assessment tools for Ad and other diseases. This method has already shown advantages over traditional tools, described in an MIT News piece: “… while healthy adults spend more time on the dCDT [digital clock drawing test via Anoto] thinking (with the pen off the paper) than “inking,” memory-impaired subjects spend even more time than that thinking rather than inking. Parkinson’s subjects, meanwhile, took longer to draw clocks that tended to be smaller, suggesting that they are working harder, but producing less — an insight not detectable with previous analysis systems…”  A digital platform called Neurotrack claims it has the ability to detect Ad at its earliest stages by assessing recognition memory, a function specific to the brain’s hippocampal region which is affected early in the course of Ad. Digital assessment tools like these can also save clinician time and offer a better objective patient assessment.

 

Cognitive Improvement tools. A handful of small studies have shown that ‘brain exercise’ in the form of cognitive augmentation games decreases the risk in normal individuals of getting Ad. One would naturally ask if this carries over to those already diagnosed AD. Some earlier studies suggested this was the case. An older review of multiple small studies showed that while they suggest that brain exercises slowed progression of cognitive decay they did not affect mood or the ability to care for oneself.  It is worthy of noting that patients with larger baseline ‘cognitive reserve’ do better to a point then characteristically have a rapidly progressive course. In a previous post, I discussed the merits of music as an ideal digital health tool. Music should be considered as a potentially much appreciated and useful tool.  Relative to Ad specifically, I would reference the incredibly informative and moving award-winning film Alive Inside, documenting the response of patients with severe Ad to music relevant to their personal past. An intriguing interactive game/tool is Tovertafel, a Dutch technology which projects via suspended box visuals onto a table.  There are various exercises and games on the platform which are both enjoyable and mentally stimulating. Less sophisticated yet popular games are offered by the Alzheimer’s Association.

 

Tools for monitoring daily activities. Technologies have been developed to aid patients with mild to moderate disease and their caregivers to make daily activities easier and safer. SmartSole makes an innersole with a GPS locator with an associated smartphone app and call service for alerts. Silver Mother by Sen.se is a customizable digital tech platform (front door position, room temperature, and water and food containers) connecting caregivers with love ones’ activities of daily living.  For patients with early dementia or for caretakers to connect with loved ones at a distance, grandCAREis a very comprehensive platform and service.

 

While one might associate digital tools with those of us who are “connected,” their utility in the realm of Ad can be profound.  I would submit that the potential for digital tech to prolong independence and/or improve lives of caregivers in the home or at a distance must be the subject of clinical studies.  Public health policy might very well change as a result of such outcome studies.

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Five Digital Health Imperatives for Patient Safety

Five Digital Health Imperatives for Patient Safety | Healthcare and Technology news | Scoop.it

The most discussed issues in healthcare today are cost savings and access to care.  There is no denying their rightful preeminence in the public discourse.  Something which has received more attention in the past but has been surpassed by the aforementioned topics in both lay and healthcare policy press has been patient safety. Perhaps the best definition of patient safety is that of the World Health Organization. Simply put, it is “…the prevention of errors and adverse effects to patients associated with health care.” Patient safety initiatives have taken many forms. Most are aware of public awareness (ex. healthcare worker hand washing) and regulatory clinical requirements (ex. wrong site/procedure/ person surgeries) publicized in the past. Digital tools now present opportunities for unprecedented improvements in patient safety. I would like to highlight a few.

 

  • Improving health literacy. Health literacy is defined as the degree to which individuals have the capacity to obtain, process, and understand basic health information and services needed to make appropriate health  What does health literacy have to do with patient safety? People who do not know their diagnoses when they leave an office visit or hospital (some estimates are 60%) or do not know the reasons for each medication they are prescribed are much more likely to be non-adherent to medical advice or recommended treatment regimens. In fact, low health literacy is related to higher mortality rates. In a post I wrote here in 2012, I discussed some of the implications of low health literacy. In one study last year examining the extent of use of digital health tools in relation to health literacy, it was found that those subjects with low health literacy used these tools less. Though there is much to be desired regarding the analysis in this study, the authors are to be commended for the number of participants (>5000) and for highlighting how health literacy and digital technology can affect each other.  According to the Department of Health and Human Services, only 12 percent of US adults are health literate. Improving health literacy via digital tools is not only an opportunity it is necessary. The 15 or 20 minute office visit does not afford even the best physician to explain a diagnosis or proposed treatment plan in a digestible way a patient and caregiver deserve. Language barriers compound the health literacy dilemma. There is a well-established legal framework for language access. The cost to providers and inaccessibility outside of the clinic or hospital make mainstream language translation technology insufficient to close gaps in care.  Mobile non-human digital language translation tools will hopefully soon become the preferred alternative.

 

  • The use of AI in workflow. There’s been a lot of buzz about artificial intelligence (AI). The present popular conversations surrounding AI involve speculation whether AI will replace humans in every possible aspect of healthcare. There are even statistics bantered about as to percentage of physicians, nurses, and others who will lose their jobs to AI technology.  That aside, AI can have a significant role in improving patient safety.  Medtronic, Masimo, and others are working with the Patient Safety Movement Foundation by sharing de-identified data from medical devices in designing predictive analytics programs with the ultimate goal of improving patient safety. Many software platforms exist which claim they improve patient safety but evidence is scarce.  In advertizing their software, many companies equate hospital readmissions with a patient safety metric though strictly speaking it isn’t by the definition above unless it is related to a complication of treatment rendered during the prior hospitalization. Predictive analytics and other AI may however be relevant to patient safety by gathering data from the patient’s EHR (and heaven help us one day from data sets of other systems) to predict both minor and major preventable adverse events. AI platforms have the opportunity to make all the data about a patient come to life, integrate and provide a real-time picture of what is happening to the patient and provide alerts which might change treatment. AI is technology which needs to be incorporated into workflows which themselves are designed with maximum patient safety in mind. In this manner, the human aspect in patient safety is still important.

 

  • The use of digital tools for inventory and other tracking. Inventory tracking in both the enterprise and ambulatory clinic is an important patient safety issue.  Equipment servicing schedules, drug, medical device, patient and personnel tracking and other logistical considerations are important in patient safety. RFID and other advanced digital technologies have been developed to help in this regard.

 

  • Improving the electronic medical record (EHR). A 2016 study published in the Journal of Patient Safety demonstrated a 17-30% reduction of in-hospital adverse events in patients with cardiovascular diagnoses, pneumonia or a diagnosis leading to surgery when a fully electronic EHR is used. Specifically the adverse events included hospital-acquired infections, adverse drug events (based on selected medications), and post-procedural events. As this studied playing field has leveled today with the vast majority of institutions utilizing completely electronic records, there exist yet more opportunities for improving patient safety with EHR associated technologies. One hot button issue is that of matching of patients with their own EHR record. The challenge lies in the strong legislative opposition to a unique national patient identifier.  To this end the Office of the National Coordinator has launched a Patient Matching Algorithm Challenge.  Other ways in which the EHR can improve patient safety involve the use of AI (see above). Input from patients in reviewing their records via the patient portal is arguably the first place to start.

 

  • IT security. IT security is a direct and indirect threat to patient safety. This has been demonstrated with cardiac implantable electronic devices and recent global IT hacking which involved hospital systems. A technology called blockchain was developed in 2008 and has found its biggest interest in the financial industry. The use of blockchain in healthcare has been discussed for a number of years.  However there exist significant challenges in the utilization of blockchain for patient records.

 

While popular discussions focus on health insurance coverage, shortcomings of EHRs and the health system in general, we must never lose sight of what should be the focus of care itself, patients.  Healthcare must be accessible, affordable, efficient, of high quality with good outcomes and most of all as safe as possible. Patient safety should always be a metric of good care and new programs and technologies.

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How blockchain can address the two biggest challenges in healthcare IT

How blockchain can address the two biggest challenges in healthcare IT | Healthcare and Technology news | Scoop.it

A recent study on blockchain adoption in health care by Blackbook Market Research indicated that a large percentage of payers surveyed, and a small but growing percentage of providers, were either considering deploying or were in the process of implementing, some blockchain solution sets. Blockchain appears to have moved from the awareness and education phase to actual deployment of solutions.

 

“Blockchain can solve two of the biggest problems in health care today," says Lidia Fonseca, CIO of Quest Diagnostics, a leader in lab testing services. She is referring to the gnarly issues of interoperability and data quality. While data quality has long been an issue in health care, the interoperability challenge is a legacy of the massive digitization of patient medical records over the past eight years which have left us with proprietary electronic health record (EHR) systems that don't "talk" to one another. The result is inefficiency and waste, as stand-alone information systems slow down processes and create redundant work. 

Taking a look at the healthcare blockchain pioneers

Some technology solution providers, including IBM and Change health care, along with a number of other companies listed in the Blackbook Research study, have made initial moves in establishing blockchain capabilities and launching solutions. Federal agencies such as FDA and CDC have expressed interest in applying blockchain to find solutions for public health issues.

 

Amazon, with its long-awaited entry into health care, recently announced the launch of blockchain templates for health care, aimed at making it easier for developers to create blockchain-based projects and deploy blockchain networks via open source frameworks. In a sense, Amazon has started the democratization of the blockchain-enabled application development, something we saw before with machine learning algorithms in the wake of the big data and analytics hype a few years ago.

 

A group of large healthcare enterprises, including large payers such as Humana and United Health Group (UHG), along with Quest Diagnostics, UHG subsidiary Optum, and Multiplan Health recently came together to launch a blockchain pilot program to solve for one of the most significant data challenges in health care today – provider data management. Provider data, a fundamental enabler for all manner of healthcare transactions, is a key building block for processing claims and maintaining up-to-date provider directories. Today, most provider data is stored in siloed and independent databases. Provider data quality is estimated to be a $2.1 billion problem today, according to a report by CAHQ, a non-profit alliance focused on creating shared initiatives to streamline the business of health care. By streamlining the inefficiencies in provider data maintenance, participants can have a "single source of truth." It is estimated that up to 75 percent of provider data management costs can be eliminated using blockchain solutions.

What it will take for blockchain initiatives to succeed

While blockchain is coming of age in health care, we’re still in the early stages of the hype cycle for blockchain. The initial mania around bitcoin, the very first use case for blockchain, is now giving way to more carefully considered use cases for business with tangible benefits. Healthcare, a sector that generally lags in the adoption of technologies, is currently in a wait-and-watch mode; notwithstanding the high levels of interest among payer organizations, the Blackbook survey also points to low levels of interest among health systems, citing the undetermined cost of blockchain solutions as the major issue that stops health system executives from committing to a timeframe for deploying the technology. Our best hope is that the early pilots will bring tangible proof points and provide more confidence to the industry in the technology.

 

Health care is a team sport and so is blockchain. The more participants there are in a blockchain network, the better it is for the network and the industry. Pilot programs such as the provider data management initiative by Quest Diagnostics and others will need a much higher level of participation across the industry to reap the benefits of the network effects.

 

As with most transformative technologies, the big challenge is usually not the technology; it’s managing culture and workflow changes, driving collaboration, and an execution focus. In blockchain, there is an added dimension of a commitment and willingness to work across company boundaries, which is an entirely new paradigm for most health care enterprises.

In a unique development, a group of health care industry executives has come together to launch a peer-reviewed blockchain journal to share both the positive and the negative experiences with blockchain in health care.

 

The potential for blockchain to improve health care operating efficiencies is significant. High-value use cases include revenue cycle management, supply chain, clinical trials, and provider data management. The initial pilots will need to demonstrate the real benefits of the technology and lead to higher adoption of blockchain in the coming year.  

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No dilemma for innovators in healthcare

No dilemma for innovators in healthcare | Healthcare and Technology news | Scoop.it

The big trends in healthcare today are rising consumerism, a shift to value-based care, emerging data sources, and the use of advanced technologies for improving care delivery and reducing costs. There is unprecedented innovation opportunity in the digital transformation of healthcare.

 

At a recent industry event, I moderated a panel discussion on innovations in health care with a group of technology innovators and healthcare veterans. We all agreed that technology-led innovation was accelerating rapidly, but the innovation landscape had a set of unique challenges as well. In this post, I share some of the key thoughts from the discussion.

The market landscape for healthcare innovation

In the past few years, we have seen several significant changes in the market for technology-led innovation in health care. Here are some important trends.

 

  • A shift towards the virtualization of health care. Many routine health care services are now available on your smartphone – a perfect example would be urgent care visits or routine consultations. According to one report, there are over 300,000 health apps in the Apple and Android stores. However, only a small number have reached critical mass, indicating that consumer preferences for virtual care are changing slowly.
  • Huge amounts of venture capital pouring into digital health: $11.5 billion in 2017, according to one report. The first quarter of 2018 has seen continued investments in digital health, serving as a validation of the promise of digital health innovation and the opportunities in the digital transformation in health care. At the same time, many of these startups are struggling, exits are not keeping pace with expectations, and a few that have raised very large amounts of money, such as Outcome Health, have gotten into trouble for trying to find short-cuts to growth and profitability.
  • Innovations from big technology firms are also struggling to gain traction. Recent troubles at IBM’s Watson Health business which has reportedly laid off significant numbers of employees in the face of market and organizational challenges indicate a deeper problem for the business model itself.
  • New data sources such as genomics, wearables and social determinants are driving a whole new way of managing patient populations. Unstructured data, such as clinical notes, is now the new goldmine that people are digging into, with the help of emerging technologies such as AI. Other emerging technologies, like blockchain, are still in early stages but with great potential. However, data interoperability, especially with the big electronic health record (HER) systems like Epic and Cerner, remains a challenge.
  • We are in the early stages of breakthroughs such as gene-editing with CRISPR (powered by massive data analytics capabilities) that are likely to transform healthcare, along with an explosion in smart sensors and wearables. Other technologies, such as augmented reality (AR) and virtual reality (VR) are in very early stages but show enormous potential in transforming the way healthcare is delivered in the future.

Health care’s innovation focus and the players

A recent survey by Modern Healthcare indicates that health care consumerism is the no. 1 area for innovations, followed by clinical practice, or care delivery, and payment reform or alternate payment models. Most respondents in the survey felt that innovation was accelerating.

 

Data from Rock Health, a venture capital (VC) firm, lines up with the survey responses. While disease diagnosis and treatment remain significant focus areas, consumer empowerment is emerging as a strong funding category, confirming the rise of consumerism in health care. As healthcare shifts progressively away to virtual care delivery models, interest in telemedicine, remote monitoring, and alternate care delivery models continue to drive innovation.

 

It’s not just VC firms that are funding and driving technology-led innovation in health care. We are seeing health systems getting into the innovation game themselves by setting up funds.

 

Examples include Partners Healthcare, UPMC, Intermountain and Mayo Clinic, to name a few. While these funds are relatively small, the opportunity for promising startups with innovative solutions to accelerate the path to product validation and market acceptance improves with the support of the sponsoring health system.

 

We are also seeing some non-traditional partnerships emerging. The big announcement earlier this year by Amazon and Berkshire Hathaway, and the more recent announcement by a consortium of healthcare companies to invest in blockchain technology are examples.

 

Despite health care's reputation as a slow follower of technology, the innovation ecosystem is buzzing. In my book, the Big Unlock, I refer to four categories of technology solution providers: The Custodians such as the EHR vendors, who have the data and the workflow; the Enablers, which are big companies like Google, Microsoft, and Salesforce who have invested in health cloud infrastructures that can be rented for building digital health experiences; the Arbitrageurs, which include global consulting and technology services firms who rely on information and labor arbitrage for developing and delivering technology solutions; and finally the Innovators, which include the hundreds of startups and VC-funded companies who are developing entirely new ways to deliver health care. Every one of these categories is innovating in their own way.

 

At the heart of the innovation ecosystem is a final category of innovators, namely the healthcare enterprises. Leading health systems are innovating with health care delivery models and pricing/contracting models and are using technology to enable their digital transformation.

Into the great wide open

Despite all the activity and the fierce competition, there is good news for innovators; the market is wide open, and there is no single dominant entity in the digital health innovation landscape. Each of the categories of technology providers I refer to have their unique strengths and many would like to become that one dominant solution provider of choice.

 

While it does not seem likely that we will see a dominant digital health innovator in the near term, the window of opportunity for innovators is narrowing. As the high value “white spaces” get filled up and the risks of failure increase, VCs are committing larger and larger amounts of funding to more mature companies in the hope of a successful exit. New entrants in the innovation landscape will either need to find new white spaces or build “better mousetraps” to challenge well-capitalized incumbents on their turf. At the same time, as the pace of exits picks up, VC firms will look for new investment opportunities for their liquidation gains. For now, it’s best for digital health innovators to operate with an abundance mindset. It’s an “all you can eat” world out there. 

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Could Apple Store-like digital health retail stores be popular? 

Could Apple Store-like digital health retail stores be popular?  | Healthcare and Technology news | Scoop.it

Here’s why I think the time is right. Rumour has it that CVS, Walgreens, Kroger, and many other pharmacies carrying digital health and wearables product draw in-store customers. If that’s the case, could we drive more sales of telemedicine, remote monitoring, chronic care apps, and other digital health products by creating specialty stores in which we had trained sales people that knew how to combine products, services, and solutions from a variety of companies and educate consumers, caregivers, and patients about their use? What if some smart pharmacies, smart health insurers, and smart health systems got together and put together healthcare management retail stores in malls, similar to an Apple Store or a Microsoft Store?

 

In a fee for services (volume-driven) world, selling healthcare products and services to individual institutions is certainly time-consuming but reasonably straightforward. In an outcomes-driven (fees for value) world driven by shared risks and shared rewards, selling healthcare solutions across multiple disciplines, multiple stakeholders, and multiple institutions is much harder and even more time-consuming. That’s because there’s no easy buyer to identify. Population health is all the rage but our current 3+ trillion dollar healthcare industry was never devised nor incentivized to work together as a team for a long-term patient or population benefits (it’s reimbursed mainly for episodic care).

 

Our country’s healthcare industry is more about sick care and episodic transactions rather than longitudinal care. But, since we are moving to population and outcomes-driven care where the patient is more responsible for their own care management and payment, it would seem patient education and digital health tools are more important than ever. So, perhaps we need to get together and innovate around how we’re going to present next-generation solutions from across multiple innovators and showcase them to patients and their caregivers.

 

Using the Apple Store as a model, let’s imagine a Digital Health Store where we can have computers, wearables, tablets, phones, medical devices, remote monitoring, care quality, and other cool devices sitting in one place where shoppers can see how things work together and salespeople are trained to talk about chronic care. Even Amazon, who basically killed the large bookstore retail model, is giving retail bookstores a shot.

 

If the Digital Health retail store idea is reasonable, we could even think about allowing people to shop for insurance — on existing insurance exchanges — through a guided expert in store. There are tons of way of monetizing these stores.

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Health IoT creates huge opportunities for public health and software companies 

Health IoT creates huge opportunities for public health and software companies  | Healthcare and Technology news | Scoop.it

Connecting smart biological sensors to the internet is not a new idea. There are already dozens of products in the market that continuously monitor blood glucose and heart function, for example, and enable secure remote management for clinicians and caretakers. The safety of life implications are enormous, and the commercial opportunities untold. Some analysts predict a $100 billion-plus market for the healthcare segment of the “internet of things” (IoT).

 

What is new and emerging is the physical scale of the devices on the one hand, and the need to aggregate, reconcile, and consolidate those data streams for downstream clinical care services. Advances in semiconductor device manufacturing will relentlessly drive down the price and the size of these electrophysiological sensors, literally to the nanometer scale, which will ultimately be able to do more than detect, they will be able to intervene. At the same time, our ability to make sense of the torrents of information is catching up to our ability to create them.

We believe that these are tremendous opportunities for public health and software companies like ours. It is why we are investing so much of our own resources to promote the open design, secure exchange, and value-added analysis of health data systems. Perhaps the largest inhibitor to a promising future of longer, healthier, less expensive life are the software merchants and device manufacturers who still and astonishingly insist on keeping data closed, isolated, and trapped in proprietary systems. We believe this is about to change too.

 

The interoperability troubles with electronic medical records are legion, and we won’t waste our page space or your attention lamenting the deeply ignorant and the nearly criminal. The immortal words of Forest Gump’s assessment about doing dumb things find purchase here.

 

What we can do, however, is find clever ways leverage of IoT as yet-another, and maybe decisive, the fulcrum of connected care. For what is today true in isolation – progressive plans, concerned parents, engaged patients – will soon-enough be more the ubiquitous standard of coordinated care; that coordination will reach deeply into pocketbooks as well as bodies.

We know that there are legitimate concerns about individual privacy and device safety and that some people would literally rather die than compromise on either. We respect that, even as we actively promote more automation and digital services in health care.

 

Some of us believe that the existential benefits of independence and longevity outweigh the potential risks of intrusion and malfunction, some of us don’t. The point is that everyone should have the choice and that no one should be coerced or manipulated into choosing one side of the argument. Fear mongering (about privacy) and fabrication (about intrusion) are forms of manipulation. In the case of health care, they cost lives and money.

 

Let’s, instead, imagine a world of seamless, secure, and reliable health data interoperability. Let’s find a better way to safely liberate data at its source – labs, pharmacies, hospital and clinics, insurance claims, as well as implantable and wearable devices – pass it through hygienically sealed pipes, and receive it in places where it does the most good. That may be during a clinical care or remote telemedical encounter (to give you the best possible advice based on evidence and your personal health history), it may be when you pick up your medicines (to check for interactions with other medicines), or it may be to help your insurance company help you (because they have always had a bird’s eye view of your services, and they can’t kick you out for pre-existing conditions anymore).

 

Because of changes in the law, it may be with a loved one or trusted caretaker. It may be you.

The data could be as simple as a reminder message about an upcoming appointment, a warning message that a clinical value seems out of range, or an answer to a securely-texted question to your doctor. We have imagined that future and it is, as Ray Kurzweil likes to say, near.

 

There are two challenges, and they are slowly receding.

The first is that the data holders are still reluctant to share, even though it isn’t “their” data.  This will become less of a problem, as forward-looking providers like VA and DoD have shown, as well as payers like CMS, Aetna, and HCSC among many others have demonstrated.  All are outspoken supporters of the Blue Button program, now in its fifth year, and still growing.

 

The second falls squarely on our shoulders:  we need to make the user experience attractive, convenient, and useful.  The health IT community has made terrific strides recently – we-two have worked on the InCircleand a soon-to-be-announced medication management app, for example –  and there are many companies that target data-driven patient-provider interactions, including AmericanWell and covers health.

 

The beautiful thing is that IoT fits so neatly into this conversation. The goal, of course, is to help us achieve our best-possible health. The best way to do this is with data. And the best data is coming at us in ever more granular packages, from patient-hosted sensors that monitor, detect, interact, and intervene. Weaving those into the tapestry of your personal health history is the next vanguard of coordinated and managed care.

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Accountable Care, Quality Metrics Must Combine for Improvement

Accountable Care, Quality Metrics Must Combine for Improvement | Healthcare and Technology news | Scoop.it

The healthcare industry has taken many positive steps towards improving the measurement of quality and patient outcomes, says Margaret E. O’Kane, MHA, President of the National Committee for Quality Assurance (NCQA), but true improvement comes from the marriage of metrics with innovative reform of payment and care delivery systems.  In a commentary for the American Journal of Managed Care, O’Kane states that providers, payers, and regulators must continue to promote the business case for providing the highest possible quality of care for patients.

“The accomplishments of the last quarter-century are real and significant,” O’Kane says. NCQA is celebrating its 25 year anniversary in 2015, and the healthcare quality measurement landscape looks significantly different today.  “In 1990, measuring quality was just an idea—today it is an everyday reality. Most Americans—more than 171 million—are enrolled in health plans that report NCQA’s HEDIS (Healthcare Effectiveness Data and Information Set) clinical quality measures.”

HEDIS scores are now used by Medicare, the majority of state Medicaid plans, and numerous private insurers to benchmark performance, reward improvement, and pinpoint opportunities for change.  HEDIS, along with similar patient satisfaction and outcomes measures designed to drive quality improvement, will become increasingly important as more and more industry stakeholders adopt the principles and strategies of accountable care. As HHS and private industry set ambitious goals for cost and risk sharing, benefit structures for patients and provider networks should respond appropriately.

While high-deductible plans have become the norm for patients, who are now expected to shoulder a larger proportion of costs, patients do not always invest in necessary care when they feel unable to afford the large out-of-pocket bills that will result.

“Rather than the blunt instrument of the high deductible, a better approach is Value-Based Insurance Design (VBID)—low co-pays for high value services and medications, higher for those that don’t improve heath,” O’Kane suggests. “An interesting twist is to give a financial incentive to members with chronic conditions to choose a PCMH or accountable care organization with active care management.”

Quality measurement should also be used to distinguish high-quality, high-value providers from those with poorer outcomes in order to make it easier for patients to make better choices for their health and their wallets.  In order to ensure that providers deliver high-quality care, payers should create clear financial incentives.

“This is no small set of tasks,” O’Kane acknowledges. “Over the past 25 years, consumers have become accustomed to the paradigm of choice. Providers have been rewarded for doing more and for giving more complex care. These are deeply embedded cultural norms that need to change. Now, as payers look at what is being purchased, they can act as market makers who drive volume and rewards to the delivery systems that have accepted the challenge of delivering quality, patient-centered care that is affordable.”


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Top 5 Technology Trends for Healthcare

Top 5 Technology Trends for Healthcare | Healthcare and Technology news | Scoop.it

It's been a challenging year for the healthcare industry - new payment models and regulatory changes combined with big data and tech innovations have forced healthcare providers to rapidly adapt their practices at all levels of healthcare management and delivery. With big changes on the horizon and uncertainty everywhere, one thing providers can count on is that technology will continue to play a bigger and bigger role in health care services and delivery in the coming year.

 

In a shaky regulatory environment, the healthcare providers that survive and thrive will be the ones that quickly adapt to the needs of the patient by adopting the latest innovations. With healthcare premiums set to rise across the country and growing transparency regarding service costs, patients will be raising their expectations for quality of care in 2018, giving the upper hand to facilities that invest in infrastructure that meets patient engagement requirements and improves business processes.

 

In this article, we've highlighted our picks for the top 5 healthcare technology trends of the year. In our view, these should be major areas of concern for healthcare IT departments. How will your healthcare facility address these trends over the next 12 months?

 

Telemedicine an Expanding Service Area for Healthcare Providers


Telemedicine will play a bigger role in our healthcare systems than ever before. With increasing life expectancy, treatment for the elderly and those who may face issues with mobility or feasibility of transportation is heavily supported by telemedicine solutions that allow physicians and specialists to interact with their patients remotely, using video conferencing technology.

 

Although telemedicine saw significant adoption throughout 2017, growth drivers for the future include a rise in leaner and more expensive health care plans and the growing prevalence of value-based compensation for healthcare providers. Telemedicine helps to minimize external and incidental costs associated with obtaining health care, enhancing patient engagement at a time where growing premiums for health care insurance are threatening access to health care services for at-risk groups.

 

Cloud Computing Grows in Importance for Healthcare Facilities


A study conducted by Black Book, a leading research firm in healthcare information technology, found that 55% of hospital Corporate Information Officers (CIOs) expressed confidence in their cloud application strategies, but that many had not yet invested in cloud storage for disaster recovery.

 

Other studies have estimated that 65% of interactions between patients and healthcare facilities will take place via mobile devices in 2018. 80% of doctors are already using smartphones and medical applications, while 72% use smartphones to access drug data on a regular basis.

 

It's clear that mobile data and communications will play a big role in the modern hospital, and those who invest in cloud infrastructure that adequately supports the volume of interactions that take place in a healthcare setting will benefit from improved performance and patient satisfaction.

 

Big Data Solutions for Population Health Management


New technology continues to unveil new possibilities in the world of medicine, and healthcare facilities are starting to understand how a robust cloud infrastructure and real-time EHR tracking can be used to facilitate population health management. Nearly all hospitals with 200 beds or fewer say they're not adequately capturing all the information needed for actionable population health analytics, according to Black Book.

 

How will hospitals solve this problem? Electronic data warehouses that capture data from thousands of EHR updates per day and use risk modeling to assess population health are the way of the future, and it's likely that they will be adopted on a large scale by the largest hospitals. Still, those with large-scale data monitoring solutions still face difficulties in effectively storing and managing EHR data along with financials, labor, and supply chain information.

 

Improvements Coming for EHR and Interoperability


The EHR mandate has seen widespread adoption throughout our healthcare system, especially in hospitals and larger healthcare facilities, but it's crucial that EHR vendors continue to adapt to new requirements.

 

For example, the new Medicare Access and CHIP Reauthorization Act 2015 (MACRA) may not be supported by all EHR vendors, and many EHRs do not support the level of record keeping that would be required for meaningful application of pay-for-performance reimbursement structures. These structures require features that most EHRs just don't have today, like the ability to track contractual payment agreements or assess the contribution to care.

 

Facing pressure from many sides, interoperability is becoming a concern for facilities that want to upgrade their infrastructure and data analytics, but require support from EHR vendors and other service providers, and regulatory relief while making the required upgrades. The successful healthcare facility of the future will effectively integrate EHR records, big data analytics, population health management, and a robust cloud infrastructure that supports it all, and this will require extensive cooperation and collaboration between healthcare providers, EHR vendors, insurance firms, and other stakeholders.

 

The Internet of Things (IoT) Could Change Everything


Are big innovations in the Internet of Things on the horizon for healthcare facilities? We definitely think so, and it's the facilities that upgrade their computing capabilities that will be set to take advantage as medical device companies roll out an increasing number of products that can plug into the hospital's internal networks for tracking and operation.

 

Wearable devices that allow physicians to receive real-time emergency updates on patient welfare and respond accordingly will impact patient expectations for standards of care in the coming years, and hospitals with monitoring systems that leverage the IoT will find business systems improvements at every turn.

 

Patients could be empowered to test their own vitals, using wearable devices to measure their heart rate and pulse, or even to conduct an ECG whose results can be transmitted automatically to healthcare providers through the hospital's cloud storage system. This could improve healthcare outcomes and positively impact labor costs, but only for those who invest in the infrastructure and interoperability measures to support it.

 

Conclusion


Healthcare is undergoing a period of significant change in many ways. While it's unclear how healthcare insurance and accessibility will look in the coming years, pressures like increasing cost transparency and pay-for-performance will force hospitals to continue finding cost-savings and efficiency through adopting the latest technologies and working with vendors to continue meeting the needs of an aging, and increasingly more demanding, patient population.

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The Biggest Areas of Opportunity for Digital Health

The Biggest Areas of Opportunity for Digital Health | Healthcare and Technology news | Scoop.it

Digital health is unquestionably becoming part of healthcare lexicon and fabric. Electronic health records (EHRs) and personal fitness trackers have helped create awareness through use.  The entrepreneurial enthusiasm for the healthcare space is evident by the volume of digital health incubators, medical school innovation centers,  and angel investors.  Though there has been significant sector investment, the road to success of adoption in the healthcare enterprise has been challenging.  I’d like to discuss what I believe are five areas of significant opportunity for quality technologies.

 

  • EHRs. According to most recent statistics from the Office of the National Coordinator,use of EHRs has increased from 20% in 2004 to 87% in 2015. EHRs were designed as documentation centers for billing and regulatory purposes. Relevant clinical patient management data workflow was not a priority and remains a major pain point for clinicians today. According to a study in the American Journal of Emergency MedicineER physicians spend only 28% of their time in direct face to face patient contact and can go through 4000 computer mouse clicks in one shift.  From a provider standpoint. the regulatory and billing data entry should be performed by someone else and relegated to an (almost) invisible part of the EHR.  We need EHRs which are clinically oriented with good user interfaces. Interoperability [defined by the federal Office of the National Coordinator for health information technology (HIT) as the ability of information systems to exchange patients’ electronic health information and use information from other EHR systems without any special effort from the user] is another major pain point that needs to be addressed. .Six years into Meaningful Use we have yet to achieve any significant interoperability of EHRs. There are hospitals within the same healthcare system in many places with disparate EHRs which do not talk to each other or exchange information.  Increasing healthcare consolidation of hospitals has exacerbated the problem of lack of interoperability. Health Information Exchanges (HIEs) have been woefully underfunded and have fallen short of their vision. There remain many opportunities for technologies to assist in achieving true interoperability.

 

  • Clinical trials. CIOs are constantly inundated with requests to purchase new technologies which will “save money, improve patient satisfaction and outcomes and decrease readmissions.” What is in fact lacking in most cases is evidence for these claims.  The hesitation of many entrepreneurs to embrace the intuitive adoption requirement of proof of claim (which needs to be said should not differ from the adoption of product in any field of endeavor making claims) is the misconception that time-consuming large costly randomized clinical trials are what I am referring to. This should not however translate to “take my word for it” is all you need. I agree that traditional trials are neither practical nor necessary for most tools. Even the FDA has now recognized with thoughtful and cautious restraint a role for ‘real world evidence’(defined by the legislation as “data regarding the usage, or the potential benefits or risks, of a drug derived from sources other than randomized clinical trials,” including sources such as “ongoing safety surveillance, observational studies, registries, claims, and patient-centered outcomes research activities.” in the approval process of drugs. Thus, the opportunity for trials utilizing digital registries, mobile clinical trial platforms, quality communications and analytics tools is significant.

 

  • Artificial Intelligence (AI). One early definition of Artificial Intelligence (AI) in medicine (1984) was “…the construction of AI programs that perform diagnosis and make therapy recommendations. Unlike medical applications based on other programming methods, such as purely statistical and probabilistic methods, medical AI programs are based on symbolic models of disease entities and their relationship to patient factors and clinical manifestations.” Today a broader definition may be applied: “the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using the rules to reach approximate or definite conclusions), and self-correction.” The use of artificial intelligence in medicine has been the subject of intense and rapidly growing interest in medical, computer science, and business arenas.  The market growth of AI is based on its projected impact on both technology and non-technology sectors. There have been arguments for and against the inevitability of replacement of physicians by AI technologies for a while now. The debate continues. BASF declared “We don’t make the household product, we make the product better.” An analogy can surely be made with AI. It runs in the background of technologies already in use but will make them run faster and more importantly will add a dimension of relevance of incoming data.

 

  • Personalized medicine. The National Cancer Institute’s definition of personalized medicine is “a form of medicine that uses information about a person’s genes, proteins, and environment to prevent, diagnose, and treat disease…” Personalized medicine is medical care directed in whole or part from information specific to an individual.  Discoveries in the area of the genetics of cancer have resulted in the development of drugs no longer targeted towards an anatomical location but a specific genetic marker. A landmark clinical trial in which drugs are given solely on the basis of genetic markers identified in the cancer tissue itself is the NCI-MATCH Trial (Molecular Analysis for Therapy Choice). “Patients with advanced solid tumors, lymphomas, or myeloma may be eligible for MATCH, once they have progressed on standard treatment for their cancer or if they have a rare cancer for which there is no standard treatment.” The role of personally derived connected data (from sensors external or internal to the body) will also facilitate personalized medical care. Opportunities thus exist for life sciences and technology companies to develop products for this new therapeutic approach.

 

  • Social Media. An early observational study of synergistic impacts of healthcare and social media demonstrated that personal experiences and not data drive social media healthcare discussions. One early survey of physicians on their use of social mediafound that “85% of oncologists and primary care physicians use social media at least once a week or once a day to scan or explore health information. Sixty percent said social media improves the care they deliver.” The potential for social media to disseminate information from published clinical trials, the exchange of professional education among peers, and discussions surrounding disease states is invaluable.  To be sure there exist professional and regulatory guidelines for the use of social media for providers, vendors and other healthcare stakeholders.  Social media open platforms in healthcare have proven successful for patients, caregivers and others.  Examples areTreatment Diaries, patientslikeme, and WEGOHEALTH.  Potential opportunities here involve recruitment of patients for clinical trials, gleaning real world evidence data from discussions.

 

By no means is this a complete discussion of opportunities for digital health. These are what I consider the ‘biggest bang for the buck’ ones doable today. I look forward to comments and the sharing of experiences from others. As a consultant I am amazed on a daily basis at the high quality clinical, financial and personal experience energies devoted to the development and advocacy for digital health tools. Bring it!

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Who ‘owns’ the healthcare consumer of the future?

Who ‘owns’ the healthcare consumer of the future? | Healthcare and Technology news | Scoop.it

CVS and Aetna are merging. Amazon, JPMorgan Chase, and Berkshire Hathaway are forming a joint venture aimed at reducing health care costs and improving outcomes. Cigna is acquiring Express Scripts. The proposed mergers promise a revolution that could fundamentally alter the current healthcare landscape and the relationships between providers and patients. With these giant corporations betting big on healthcare, a logical question to ask is: What’s behind it all?

 

The answer is simple: ownership of the healthcare consumer experience, and by extension, the consumer.

Digitalization and healthcare consumerism

In the past few years, Amazon has reshaped the relationship between consumers and marketers. It has forged itself into being the preferred destination for consumers seeking convenience. Now, imagine Amazon applying this power to the healthcare sector. The company already offers a wide range of the over-the-counter drugs in their health and wellness section. Going from there to selling prescription drugs is not a big step. However, that step could become a big leap in terms of the shift in consumer loyalties if consumers are provided the option to order their 90-day medication refill and have it delivered to their doorstep (maybe even by a drone).

 

Recognizing the threat, many health systems are taking measures to digitalize their relationships with consumers by focusing on something they have long neglected: convenience. Virtual visits and e-visits are now becoming commonplace. A young mother of three no longer has to bundle her kids into the car and drive an hour each way to her hospital for a routine follow-up that takes all of fifteen minutes in the physician's office. A senior citizen in a wheelchair on multiple chronic-care medications no longer needs to "check in" by getting physically to a physician's office. They can both do their visits through secure messaging, or if required, through a virtual real-time consultation.

 

The above is just one example of how digitalization could reshape relationships between consumers and providers.

Data, analytics, digital

Here is another scenario that is already starting to play out. Consider a patient with high blood pressure. Technology is enabling patient-generated health data (PGHD) from wearables and sensors that include blood pressure, heart rate, glucose levels, and medication adherence to be transmitted seamlessly into the patient’s electronic health record (EHR). The combined data is being analyzed for trends and insights and made available to everyone involved in that patient’s care, enabling care teams to manage the patient more effectively. The patient can still control who can see the information by following an e-consent process through an app right on the mobile device. If a patient opts to participate in clinical studies, that person can be matched automatically with relevant opportunities. Both the individual patient and the population improve their health outcomes as a result.

 

Data-driven advancements are arriving in the form of both precision medicine and healthcare consumerism. Advancements in precision medicine are expected as the relationship between data from wearables, sensors, social determinants and other emerging sources is better interpreted through advanced artificial intelligence (AI), and yielding better outcomes. We are in the early stages of a new push toward patient-centered, consumer-directed care that is demonstrating strong growth potential.

 

What we are also starting to see is some redistribution of the in-person visits between traditional providers and emerging ones. As an example, CVS and Aetna are betting that consumers may prefer to visit one of their many walk-in clinics for minor conditions instead of waiting to schedule an appointment with their primary care physician in the hospital down the road. Urgent care is already shifting out of hospitals, and in many cases, going virtual altogether. The rise of companies such as Teladoc and Doctor-on-demand is clear evidence of this.

Bricks and mortar is not going away

None of this suggests that the traditional healthcare setting is fading into obscurity. Health systems, especially those with strong brands in their local and regional markets, have an unassailable lead today as trusted healthcare partners in their communities. Many of them are already making big investments in digitalization programs that will enable consumers to get the best of both worlds, namely a virtual experience for routine healthcare and urgent care needs, and an in-patient experience for acute care needs. For a high-quality patient journey, these two worlds must be tightly integrated. Only traditional hospitals can provide that truly integrated experience today.

The future of healthcare consumerism is not an either/or

If Big Data’s relationship to precision medicine has been on a more or less predictable trajectory, the explosive growth of healthcare consumerism has opened up options for healthcare consumers seeking convenience in addition to the quality of care. The healthcare leaders of tomorrow will ideally sit at the intersection of these two critical aspects of healthcare delivery. A reputation built on high-quality care alone will no longer be enough; neither will a reputation for slick user interfaces and transactional convenience.

 

A friend, who is also the CIO of a large health system, recently suffered a heart attack during a race. As he felt it coming on, he wisely checked himself into the medical tent from where he was rushed to a nearby hospital. A stent was put into his chest that saved his life. Imagine a scenario where with the help of real-time, advanced analytics and AI technologies, his imminent heart attack could have been predicted. Imagine, too, if he had not had access to one of the most experienced and qualified cardiologists in the country to attend to him during the emergency. Digitalization can ensure that the cardiologist's knowledge, wisdom, and experience are still accessible no matter the current physical location of the patient.

 

Ownership of the healthcare consumer experience requires a mixture of convenience and quality enabled by a robust data and analytics capability. No one sits precisely at that happy intersection today. However, the race is already underway to get there.

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Digital health’s last mile problem

Digital health’s last mile problem | Healthcare and Technology news | Scoop.it

In my book, The Big Unlock, I describe the four major categories of technology providers as Custodians, Enablers, Arbitrageurs, and Innovators. Each of these categories of providers has staked a claim to reimagining the digital future of healthcare.

 

First, the Custodians: These are the big electronic health record (EHR) vendors like Epic and Cerner who have the data and the workflow. As systems of record, they enjoy the long-term strategic commitment of the health systems they serve and are the first port-of-call whenever a health system decides to enable new functionality for enhancing the patient and caregiver experience. 

Systems of record have certain limitations and are arguably weak in several areas, such as advanced analytics, which is critical for a digitally reimagined healthcare experience. Along came the Enablers to address this problem. Big technology firms such as Google, GE Healthcare, Microsoft, Salesforce and IBM’s Watson Health business have built technology stacks that integrate multiple emerging and traditional data sources, including EHR systems, and have incorporated some proprietary data sources as well, such as images in the case of GE Healthcare.

 

These big technology stacks include inbuilt advanced analytics capabilities that can deliver insights to power digital health experiences. Google’s Deep Mind, for instance, recently analyzed eye scans from over 125,000 patients to build an algorithm that could detect diabetic retinopathy, the number one cause of blindness in some parts of the world, with over 90 percent accuracy. The company claimed the accuracy of the analysis was on par with board-certified ophthalmologists.

 

The Arbitrageurs are mostly technology agnostic consulting firms such as Accenture and Deloitte, as well as India-heritage firms such as Wipro and Infosys, that rely on information and labor-arbitrage models to build digital experiences from scratch using the preferred technology tools that exist in health systems.

The Last Mile problem

All three categories of technology providers described above have stopped short of building ready-to-deploy digital health experiences, which leads us to the Last Mile problem in healthcare. Despite the powerful computing and data analytics infrastructure that big technology firms have invested in, there is a shortage of viable, proven digital health experiences for health systems and their key stakeholders in healthcare delivery i.e. patients and caregivers. The challenge – and the opportunity – has fallen to the fourth category of technology providers, namely the Innovators.

By definition, the Innovators are typically startups that have come up with a whole new way of addressing an existing problem with technology-enabled healthcare experiences, or for filling a gap in the current healthcare experience with technology. Digital health startups raised an estimated 11.5 billion in 2017, and money continues to pour into the sector, despite the slow pace of exits. Despite the promise, a report by IQVIA indicates that while over 318,000 health apps and 340 consumer wearable devices are now available worldwide, 85 percent of the apps had fewer than 5000 installs. The few apps that did reach critical mass demonstrated strong clinical evidence, robust integration with the established workflow integration, and high user ratings – prerequisites for any digital health solution looking to break into the health systems marketplace.

Addressing the bottleneck

The need for last mile applications is enormous, and yet the innovation ecosystem has not built and implemented viable applications fast enough and at scale to meet the demand. Common challenges include:

  • Extended cycles to hit prime time usage: most health systems follow a traditional approach that takes promising new solutions through the phases of a free pilot, paid pilot, and enterprise adoption. The process could take years, and many solutions remain in "pilot purgatory" for an extended period, often failing to break through to enterprise adoption. Health systems need a newer, more agile model, to assess and deploy promising solutions more quickly and efficiently
  • Too many standalone solutions: the digital health landscape is littered with thousands of point solutions that stand in isolation, with no established connectivity to systems of record which is the price of entry for any new solution. Health systems are loath to sign up dozens of point solutions and take on the burden of integrating and managing these solutions. They prefer to default to the many solutions that EHR vendors have built or are actively building (or claim to be building) that effectively make stand-alone solutions redundant, despite the superior experience architectures that startups are known for. A potential approach for startups is to align with one of the big Enabler companies who, through established relationships with health systems, can create a pathway to adoption and growth.
  • An absence of scale: No single platform addresses all the needs of a digital health enterprise today, unlike the mature enterprise resource planning (ERP) systems of the manufacturing and financial sectors. There is a significant opportunity for Enables companies to build ready-to-deploy innovation ecosystems through partnerships with digital health startups. However, Enabler platforms too have increased and are at risk of becoming too fragmented to present a real alternative to health systems looking for scale and velocity in the digital transformation journeys.

The digital transformation of healthcare is in its early stages, and the gold rush is underway. Wanted: creative approaches to solving the Last Mile problem and unifying the fragmented ecosystem of point solutions and stand-alone technology enablement platforms.

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Reimbursements red herring, trust, and key infrastructure needs for Telemedicine success  

Reimbursements red herring, trust, and key infrastructure needs for Telemedicine success   | Healthcare and Technology news | Scoop.it

Telemedicine is a growing part of modern healthcare and could play a pivotal role in the U.S.’s efforts to streamline and expand preventative services. Virtual, video-based doctor’s appointments can help alleviate the general practitioner shortage and encourage preventative care. They also offer a cheaper, more convenient alternative to in-person appointments for many patients. Unfortunately, there’s a lot of hype and misinformation being reported so I was pleased to see that TechnologyAdvice (TA) surveyed 504 U.S. adults about telemedicine and their willingness to use such services. I think the results shed important light on where healthcare providers and telemedicine vendors still need to gain acceptance with patients so I reached out to Cameron Graham, Managing Editor at TA to see if he can give us the facts on the ground. Cameron heads market research for healthcare IT, business intelligence, and other emerging technologies and is uniquely qualified to help shed some light on the subject. Here’s what Cameron said:

 

1. It’s not just about reimbursements

Despite the promise of telemedicine, the vast majority of Americans still aren’t using such services. One oft-cited reason for this is the lack of insurance reimbursement for many telemedicine procedures. While some private insurers will cover telemedicine, many only cover select types of visits or specific applications. Medicare, for instance, covers face-to-face interactions, but only when the originating site (point of care, not the patient’s home) is in a Health Professional Shortage Area (HPSA). Although coverage is slowly improving in many states, the American Telemedicine Association gives just five states (plus DC) an A grade in coverage and reimbursement.

 

However, the current hodgepodge of reimbursement rules is not the only thing holding back telemedicine from widespread use. An equally important factor is likely Americans general comfort with video-based platforms and their trust in remote appointments. According to our study, less than half of adults (44.9%) said they would be comfortable conducting a doctor’s appointment over video. Only 35.3% of respondents said they would choose a video appointment over an in-person one. Until patients are more comfortable with the notion of remote care, it is unlikely that telemedicine will gain significant traction.

 

In order to facilitate acceptance of telemedicine among Americans, providers and vendors need to work on educating patients about the benefits of such systems. Telemedicine vendors, in particular, should help patients navigate the complex reimbursement rules currently in place, and promote the cost-savings of remote appointments. By doing so they will not only gain brand awareness among patients but will be able to recruit patients as advocates for more comprehensive insurance reimbursement policies.

 

2. Trust is a key component of effective telemedicine

Americans are not only hesitant about scheduling telemedicine appointment, they are also sceptical about diagnoses made through video platforms. Forty-five per cent of respondents said they would trust a virtual diagnosis less than one made in person. An additional 29.3% said they simply would not trust a virtual diagnosis. This suggests there is a distinct lack of trust among Americans in the quality of medical services that telemedicine platforms can provide.

 

Much of this scepticism is likely due to a lack of familiarity with the services. It also reinforces the fact that telemedicine providers must earn patients trust before they can effectively increase adoption rates. Once that trust is established, it appears people are far more likely to consider using remote appointments. While initially, only 35.3% of respondents said they would choose a virtual appointment over an in-person visit, 65% of respondents said they would be more likely to conduct a virtual appointment if they have first seen the doctor in-person.

 

It’s unlikely that providers or vendors will be able to dramatically change such preferences given the personal nature of many medical visits. However, increased awareness about the qualifications of physicians could make potential patients more comfortable about conducting preventative care via video. Incorporating a rating system, or minimum quality threshold for participating physicians is one potential solution.

 

3. Personal and professional infrastructure is key

The personal infrastructure for telemedicine is already in place across much of the United States, in the form of video-enabled smartphones. According to the latest PEW research, 64% of Americans own a smartphone. In theory, this provides them with the basic means to access remote, video-based health care. Smartphones will likely serve as first means of exposure to such services for many people.

 

More advanced, capable systems (such as dedicated telemedicine kiosks) however are far from established. Aside from a few test programs in select areas, there is no nationwide, professional infrastructure or technology for telemedicine. This hinders adoption and limits the use of telemedicine to basic, preventative care that can be conducted entirely remotely. Dedicated kiosks can greatly expand the use-case for telemedicine, by incorporating sensors, multiple cameras, and other advanced technology. Further investment from telemedicine vendors and insurance companies could help to boost the nationwide profile of telemedical services and expand access for many Americans.

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Digitally managed clinical trials will accelerate results and reduce costs 

Digitally managed clinical trials will accelerate results and reduce costs  | Healthcare and Technology news | Scoop.it

Digitally managed clinical trials have the potential to accelerate results report and reduce costs but workflow questions and regulatory questions remain. In many facets of our lives, digital data collection has improved services, eliminated errors, and reduced waste in time and resources. Think about the ticketing and check-in process at airports ten years ago vs. today: when airlines put the information in our hands we were able to do the check-in, seat selection, and other work for them. Plus, we were happy to do it. Also consider ATMs, online banking, and retail banking for how we are able to move money, get cash, and get loans by providing data ourselves and get immediate services. When we think about the medical industry, though, very little of the kind of automation created by self-service digital data collection exists. While we can see some patient portals and self-service triage apps appearing in limited uses, large-scale use seems very far away. One specific area that digital data collection can, potentially, literally save lives is in clinical research. The use of digital collection tools, primarily mobile devices, in clinical studies, is nascent but growing. Evidence indicates that these tools have the potential to significantly improve the quality of research outcomes and reduce the costs associated with such research, but there are still questions about how exactly these tools will work and some of the issues surrounding electronic data collection. To help answer some common questions, I spoke with James Emerson, who is a director of clinical research and helps run a variety of clinical trials.

How are mobile devices being used for digital data collection in clinical research?

For several years now, IT in the enterprise has been moving toward consumerization; that is, people are bringing their own devices to work and many of the same applications are used outside of the office. Clinical researchers have realized that same consumerization of IT that is revolutionizing the way that we work can do the same for research. Trial participants using clinical trial research technology are able to use their own smartphones, tablets, and other mobile devices, which makes it much more likely they will comply with the requirements of the study.

Essentially, depending on the setup of the study, patients simply need to input information into an application, eliminating the need for paper journals or surveys.

 

While research indicates that most patients actually prefer this technology over other forms of data collection, in particular, voice response systems, there are still some challenges. One thing that researchers need to overcome are the differences among devices themselves, and how applications actually function on different devices.  Training trial participants — and providers — in the use of the application is an important task. Connectivity issues are also a concern, as is privacy. Protecting sensitive personal information is of paramount importance, and researchers are cognizant of the need for data protection protocols and security, both in terms of protecting the devices themselves and in the transfer of data.

Why are digitally managed clinical trials ideal for clinical research?

Digital data collection has many significant benefits. For starters, it reduces costs. Major clinical studies often have thousands of participants, all of whom need to be trained in how to record data and submit it to their providers. That data also needs to be collected and analyzed, often manually. Digital data collection reduces or eliminates the need for many of those expensive tasks. When clinical trial participants are allowed to use devices that they already own and are familiar with, the complexity of the training and on-boarding decreases and compliance increases.

 

The simplified data collection process also has a significant impact on the overall quality of the study. Again, compliance is a major benefit. Studies have shown that patients vastly prefer mobile data collection over other options like paper journals or interactive voice response systems. It’s simply much easier to input your data into your mobile device and move on with your day than it is to navigate a complex menu of voice response options or fill out a paper questionnaire.

 

The accuracy of the data collected also improves; when patients use paper journals, for instance, they have a tendency to add additional extraneous information or skip questions, which can affect how the data is analyzed. Not to mention, when the researchers have access to real-time data, they can identify compliance issues earlier on and monitor patient safety more efficiently, improving the overall outcome of the trial.

 

While digital data collection can improve the accuracy of the data collected, there are some obstacles to overcome. Digital data collection protocols require that researchers consider facets of study design that they might not have otherwise. For example, what happens if a device is lost or stolen? How can we protect that data and the integrity of the study? We need to use a technology infrastructure that complies with regulatory protocols, but that is also easy for subjects to use.

 

Many researchers are also concerned about equivalence among the devices being used. In other words, are all of the subjects having the same experience when using the application, and how do differences affect outcomes? These are all questions that researchers are considering in their study design.

Can digitally be managed clinical trials really save that much money?

The short answer is yes. In 2014, the Department of Health and Human Services released a report estimating that using mobile technologies in clinical trials has the potential to save clinical research organizations (CROs) tens of millions of dollars. The greatest savings come in the later stages of trials, but even in the early stages, mobile saves money.

Are there regulatory issues related to the use of digital collection tools that CROs face?

The FDA is actually encouraging CROs to do as much electronically as possible. That being said, yes, there are some stringent regulations that CROs must adhere to that ensure the accuracy and protection of the data. The FDA has issued guidance on how CROs can capture and use data to maintain those protections.

Are there times when digital data collection isn’t ideal? What about barriers to participation?

While it might seem like everyone on the planet has a smartphone these days, the fact is that there are some people who either do not have access to the technology necessary to participate in a research study via a mobile device or have the skills to do so correctly. It’s important to carefully assess the target population of the study to determine whether digital data collection is appropriate or if more traditional methods would be a better choice.

 

For example, many older adults either do not have or do not use smartphones and aren’t interested in learning how to use the application to participate in the research. For someone who isn’t a digital native, using an application to record data could be intimidating or confusing.

 

Another issue is a lack of access to the internet or cellular service. In many rural areas of the country, access to broadband is still limited, and cell service is limited or nonexistent. Relying solely on digital data collection via smartphone has the potential to exclude viable candidates from research studies, simply because they cannot provide data efficiently. We need to be very careful in how we design studies, and the technological requirements, or risk inadvertently creating disparities within the study population based on economic or geographic situations.

 

And of course, not all studies lend themselves to self-reporting — and as with any self-reported data, there will always be a margin of error. Researchers need to carefully consider their reasons for choosing digital data collection, and evaluate whether they are ideal for an individual study.

Are digitally managed clinical trials really the future of clinical research?

Yes, we believe so. The fact is, the old ways of doing things are no longer infallible. Using digital tools has the potential to solve many of the long-standing problems within clinical research, including low study recruitment numbers, gender bias, accuracy, compliance, and more. By incorporating digital tools, new, more effective treatments can get to market faster while keeping patients safe and improving their overall health.

Technical Dr. Inc.'s insight:
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Understanding IoT: Is Healthcare Harnessing the Potential?

Understanding IoT: Is Healthcare Harnessing the Potential? | Healthcare and Technology news | Scoop.it

Digital technology has paved the way for businesses and industries alike to utilise its benefits to incredible calibers, such as providing ergonomic solutions solely by “smart” machines or eliminating tedious methods of organising large quantities of data. However, the healthcare industry in particular can find itself to be most affected by digital technology and the Internet of Things (IoT).

 

By the year 2020, it is predicted that IoT inventions will result in a digital healthcare market of $117 billion, bringing to the table a plethora of inventions that will revolutionise the industry and save millions of dollars. According to analysts, the digital healthcare revolution and its innovative methods will completely change the way society optimises technology.

 

First, it is expected that all patients will soon be able to use “advanced wearable devices” solely for at-home use that automatically sends data to a healthcare provider regarding their condition status thanks to digital sensors worn on the body. This is especially helpful for individuals who have chronic conditions, such as cancer, high blood-pressure, or kidney disease requiring constant dialysis.

 

Additionally, advanced wearable devices prevent patients from making unnecessary visits to the hospital - which in fact, is one of the most expensive elements of healthcare next to hospitals paying professional labour and the pharmaceutical prices of life-saving drugs. As a result, patients will have a 24/7 working support staff of nurses to call in case of any arising concern or emergency. The wearable device connects to a real-time application that establishes a consistent digital dialogue between a patient and their provider. With it, providers implement a sense of security to the patient due to the constant back-and-forth of digital “smart” communication that constantly updates the provider with not only the patient’s status, but the opportunity to instantly administer medication reminders because of careful and accurate observation.

 

If more healthcare systems participated in this system, billions of dollars could be saved for future technological investments and human research. Moreover, the digital partnership and relationship between the patient and provider creates a solidified foundation of unquestionable trust and reliability on the provider. Lastly, this digital communication ultimately depends upon the patient, which in turn can help motivate them to always take responsibility for their health and hold themselves accountable for their health-related actions.

 

Moving on from wearable devices and health system applications, IoT has the ability to create a profound IP cloud network that is able to meticulously organise overwhelming amounts of data; this data comes from not only patient conditions, but provider statuses, the coordination of medications distributed at a pharmacy, and most importantly - a cloud system eliminates the opportunity for error in inventory and workflow with digital interconnections.

 

Apart from the digital communication, IoT opened the doors to radio frequency identification (RFID), which is a type of technology that combines the implementation of electromagnetic (or electrostatic) coupling with radio frequency to identify an object, product, or individual. The main benefits of using RFID are to improve patient safety and reduce costs. For example, an RFID tag is able to monitor the time of a patient’s specific activity, physical location, and overview of their entire health record with a microchip. Unlike tracking patients with a barcode in a psychiatry hospital, for example, multiple RFID microchips embedded on a tag upon different individuals are able to be simultaneously read in one sitting - cutting down time finding each person and manually interacting with them and therefore, efficiently surveilling an entire area of a hospital. These RFID chips also track blood and temperature, making checking vitals less of a time-consuming task. 


 

Last but certainly not least, managing inventory is a completely different matter in comparison, but one that is vital to the functionality of a hospital. The overall chaos of inventory control  diminishes thanks to IoT and puts the responsibility completely on machines to track medications and perfectly interpret and send data to pharmacies.

 

The healthcare industry has not even begun to scratch the surface of the opportunities IoT provides. Smart wearable devices and a constant digital communication between the patient and provider is only the beginning of a promising era for medical technology.

Technical Dr. Inc.'s insight:

Contact Details :
inquiry@technicaldr.com or 877-910-0004
www.technicaldr.com

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