Archive for November, 2017

Infographic: Monitoring and Managing Chronic Disease

November 22nd, 2017 by Melanie Matthews

Patients with chronic conditions rely on their healthcare teams to help them manage their health, according to a new infographic by West Corporation.

The infographic examines the steps providers can take to monitor and manage chronic disease among their patient populations.

In the sphere of value-based healthcare, chronic care management (CCM) is a critical component of primary care and population health management. Targeting the Triple Aim goals of better health and care for individuals while reducing spending, CCM is viewed as a stepping-stone to success under Medicare’s Quality Payment Program that launched January 1, 2017.

2017 Healthcare Benchmarks: Chronic Care captures tools, practices and lessons learned by the healthcare industry related to the management of chronic disease.

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Infographic: Physician Telemedicine Trends

November 20th, 2017 by Melanie Matthews

The global telemedicine market is projected to expand by 14.3 percent by 2020, according to a new infographic by Jackson Physician Search.

The infographic examines how the physician and telemedicine industries are impacting healthcare.

Real-time remote management of high-risk populations curbed hospitalizations, hospital readmissions and ER visits for more than 80 percent of respondents and boosted self-management levels for nearly all remotely monitored patients, according to 2014 market data from the Healthcare Intelligence Network (HIN).

Remote Monitoring of High-Risk Patients: Telehealth Protocols for Chronic Care Management profiles a successful eight-year initiative by New York City Health and Hospitals Corporation’s (NYCHHC) House Calls Telehealth Program that significantly lowered patients’ A1C blood glucose levels.

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Infographic: What Will The Future of Healthcare Look Like?

November 17th, 2017 by Melanie Matthews

With the rise of digital technologies, such as artificial intelligence, robotics, virtual reality/augmented reality, telemedicine, 3D-printing, portable diagnostics, health sensors and wearables, the entire structure of healthcare, as well as the roles of patients and doctors, will fundamentally shift from the current status quo, according to a new infographic by The Medical Futurist.

The infographic compares the current, traditional healthcare system, its structure and its roles with the modern healthcare system characterized by digital health.

2016 Healthcare Benchmarks: Digital HealthDigital health, also referred to as ‘connected health,’ leverages technology to help identify, track and manage health problems and challenges faced by patients. Person-centric health management is slowly acknowledging the device-driven lives of patients and health plan members and incorporating these tools into care delivery and management efforts.

2016 Healthcare Benchmarks: Digital Health examines program goals, platforms, components, development strategies, target populations and health conditions, patient engagement metrics, results and challenges reported by more than 100 healthcare organizations responding to the February 2016 Digital Health survey by the Healthcare Intelligence Network.

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Guest Post: Value-Based Care is Dying—But Longitudinal Patient Data Can Revive It

November 16th, 2017 by William D. Kirsh, DO, MPH, CMO at Sentry Data Systems

In 2013, Harvard Business Review (HBR) called value-based care “the strategy that will fix healthcare.” And the concept goes back even further than that—Michael Porter and Elizabeth Teisberg introduced the value agenda in their book, Redefining Health Care, in 2006, accord to HBR. Yet years later, value-based care is still struggling to survive, still in limbo, not quite breathing on its own. At this point, you might say it’s in critical condition.

More than a decade after Porter and Teisberg’s book, the industry is still talking about the “transition” to value-based care. In January of this year, CMS and HHS’ Office of the National Coordinator for Health IT (ONC) issued a vision for the continued shift to value-based care. In April, CEOs from Kaiser Permanente, Medtronic, Novartis and others, along with the Netherlands’ health minister, the head of England’s National Health Service, and Harvard economics professor Michael Porter (author of the 2006 book mentioned above) called for a new approach that would embrace patient-centered care and focus on outcomes.

Also in April, the World Economic Forum, in collaboration with The Boston Consulting Group, released a report, Value in Healthcare: Laying the Foundation for Health-System Transformation. Why are we still seeing words like “a new approach” and “laying the foundation” after all the time we’ve had, as an industry, to embrace value-based care?

After much wandering, it’s apparently a destination we still haven’t found on the map.

Resisting Change

According to a report from professional services organization EY (Ernst & Young) in July, about a fourth of 700 respondents (chief medical officers, clinical quality executives and chief financial officers at U.S.-based healthcare providers with annual revenue of $100 million and higher) polled said they had no value-based reimbursement initiatives planned for 2017. And that’s despite figures stating that healthcare spending in the United States “has now risen to 17.8 percent of GDP,” as the EY report says. So, what’s stopping physicians and hospitals from acting on value-based care?

As Modern Healthcare notes, the EY report points to “the escalating cost of care, a lack of standardization in how quality is defined, a disengaged workforce that leads to more medical errors, and a lack of trust and transparency between providers, payers and regulators,“ as some of the barriers. A 2016 article from Deloitte Insights adds that physician compensation may be part of the problem, stating, “Currently, there is little focus on value in physician compensation, and physicians are generally reluctant to bear financial risk for care delivery…86 percent of physicians reported being compensated under fee-for-service (FFS) or salary arrangements.” Deloitte recommends, “At least 20 percent of a physician’s compensation should be tied to performance goals. Current financial incentive levels for physicians are not adequate.”

But financial incentives alone are not enough. “Regardless of financial incentives to reduce costs and improve care quality, physicians would have a difficult time meeting these goals if they lack data-driven tools,” Deloitte says. “These tools can give them insight on cost and quality metrics, and can help them make care decisions that are consistent with effective clinical practice.”

Achieving Quality Outcomes

The EY report seems to come to the same conclusion as Deloitte about the lack of metrics and data. “Clinical outcomes and healthcare quality are often measured inconsistently by healthcare providers — if they are measured at all,” EY says. One way for hospitals to change that—a vital step in the value-based payment model—is through access to and analysis of longitudinal patient data, which is data that tracks the same patients over multiple episodes of care over the course of many years.

The problem is that hospitals and physicians often do not see the outcomes of particular treatment protocols (prescriptions, diagnostic tests, surgeries, etc.) for a long time, and capturing clinical data with this level of accuracy has historically been the industry’s blind spot. Without having a comparison population, each institution can only compare its data to real-world experience within their own data depository. A critical need is to use a de-identified real-world census population to compare protocols, best practices or specific utilization by National Drug Codes to help identify patterns of interventions that create value consistently across multiple systems, physicians, and patients. To truly answer these challenging questions about value in a meaningful way, hospitals need a comparison longitudinal patient data set.

There are countless questions about patient cohorts that physicians might want answered as they seek to make the best treatment decisions: What treatment protocol will result in the highest quality outcomes for a 50-year-old female diabetic patient with kidney failure? Which medications most effectively keep children with asthma from repeat visits to the ER? What comorbidities and symptoms are seen among patients with acute myelocytic leukemia (AML) in their earliest visits to the ER, and how can that information result in earlier diagnosis or different treatment options down the line? Quality historical longitudinal patient data may answer all these questions.

“Market forces are moving the industry toward a new paradigm; one in which delivering the highest value is an organization’s defining goal,” notes the EY report. “Optimizing patient experiences across the continuum of care while industrializing quality requires more than episodic effort.” This is the crux of value-based care. The only way to bring all stakeholders together and keep value-based care alive is by leveraging real-world, longitudinal patient data and using that information to make actionable treatment and prescribing decisions that lead to overall wellness and financial value, instead of focusing on just acute-care treatment.

William D. Kirsh, DO, MPH, CMO at Sentry Data Systems

About the Author: William D. Kirsh, DO, MPH, is chief medical officer at Sentry Data Systems and a practicing physician, clinically certified in family practice, geriatrics, hospice and palliative medicine. Sentry Data Systems, a pioneer in automated pharmacy procurement, utilization management and 340B compliance, is leading the healthcare industry in turning real-time data into real-world evidence through Comparative Rapid Cycle Analytics™ to reduce total cost of care, improve quality, and provide better results for all.

HIN Disclaimer: The opinions, representations and statements made within this guest article are those of the author and not of the Healthcare Intelligence Network as a whole. Any copyright remains with the author and any liability with regard to infringement of intellectual property rights remain with them. The company accepts no liability for any errors, omissions or representations.

Infographic: A State-by-State Value-Based Reimbursement Comparison

November 15th, 2017 by Melanie Matthews

There is a range of value-based reimbursement approaches and significant variation in the scope, leadership commitment, and resources devoted to the transition from fee-for-service to value-based reimbursement across the United States, according to a new infographic by Change Healthcare.

The infographic provides an aggregated look at which strategies states have adopted, whether they have chosen to set value-based payment (VBP) targets, the scope of their initiative (Medicaid or multi-payer), and the approximate year that the VBP initiative was implemented.

Value-Based Reimbursement Answer Book: 97 FAQs on Healthcare Models, Measures and MethodologyIf one trend has transformed the healthcare industry post-ACA more than any other, it is the market’s new business model rewarding value over volume.

Value-Based Reimbursement Answer Book: 97 FAQs on Healthcare Models, Measures and Methodology provides a framework for healthcare’s new value proposition, with advice from thought leaders steeped in the delivery and reimbursement of value-based care. Click here for more information.

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Infographic: Three Roads to Universal Healthcare Coverage

November 13th, 2017 by Melanie Matthews

There are a number of different paths to universal healthcare coverage, from government-financed and -run approaches to largely employer-financed systems administered by insurance companies, according to a new infographic by The Commonwealth Fund.

The infographic examines three of these paths.

Trends Shaping the Healthcare Industry in 2018: A Strategic Planning SessionUncertainty regarding the future of the Affordable Care Act (ACA), combined with industry market forces, including consolidations and strategic partnerships, positioning for value-based healthcare, cost containment efforts, an emphasis on technology and efforts to understand and address the whole patient as part of population health management have been the key drivers in the healthcare industry this year.

With the efforts to repeal and replace the ACA now focused on the elimination of the cost-sharing reduction (CSR) payments to insurers and changes to regulations governing association health plans, short-term, limited-duration insurance and health reimbursement arrangements, the healthcare industry can put aside the uncertainty of this year and move forward with the market forces in play.

During Trends Shaping the Healthcare Industry in 2018: A Strategic Planning Session, a 60-minute webinar on December 7th, two industry thought leaders Cynthia Kilroy, principal at Cynthia Kilroy Consulting and Brian Sanderson, managing principal, healthcare services, Crowe Horwath, will provide a roadmap to the key issues, challenges and opportunities for healthcare organizations in 2018.

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Infographic: The ACA’s Innovation Waiver Program

November 10th, 2017 by Melanie Matthews

Under the Affordable Care Act (ACA), states can pursue “innovation waivers,” sometimes known as 1332 waivers, as of 2017. These waivers allow states to modify key parts of the law, so long as they stay true to its goals and consumer protections, according to a new infographic by the Commonwealth Fund.

The infographic provides a state-by-state look at innovation wavers.

Care Coordination of Highest-Risk Patients: Business Case for Managing Complex Populations Asked by its C-suite to quantify contributions of its multidisciplinary care team for its highest-risk patients, AltaMed Health Services Corporation readily identified seven key performance metrics associated with the team. Having demonstrated the team’s bottom line impact on specialty costs, emergency room visits, and HEDIS® measures, among other areas, the largest independent federally qualified community health center (FQHC) was granted additional staff to expand care management for its safety net population.

The Care Coordination of Highest-Risk Patients: Business Case for Managing Complex Populations chronicles AltaMed’s four-phase rollout of care coordination for dual eligibles—a population with higher hospitalization and utilization and care costs twice those of any other population served by AltaMed.

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Healthcare Hotwire: Blockchain Technology and AI in Healthcare

November 9th, 2017 by Melanie Matthews

Blockchain technology and artificial intelligence are healthcare game-changers.

Blockchain technology is a game-changer with the potential to impact not one or two industries, but the complete landscape of how business is done. When 200 healthcare executives were recently surveyed by IBM, 16 percent expect to have a commercial blockchain solution at scale sometime this year.

And artificial intelligence (AI) and robots that support, diagnose and treat people are already in homes, workplaces and clinical environments all over the world, according to PWC.

Still in their infancy, early adopters of these technologies are starting to report promising results.

In the new edition of Healthcare Hotwire, you’ll learn more about the patient benefits of blockchain technology, how AI is being used to identify high-risk colon cancer patients and improve medication adherence and other healthcare blockchain and AI trends.

HIN’s newly launched Healthcare Hotwire tracks trending topics in the industry for strategic planning. Subscribe today.

Infographic: 5 Factors Driving Healthcare Digital Transformation

November 8th, 2017 by Melanie Matthews

Increases in life expectancy, changing consumer behavior, political uncertainties, inflation and rising number of chronic diseases are helping to drive the digital health transformation demand, according to a new infographic by InsightRush.

The infographic examines how each of these factors is contributing to the digital health transformation.

2016 Healthcare Benchmarks: Digital HealthDigital health, also referred to as ‘connected health,’ leverages technology to help identify, track and manage health problems and challenges faced by patients. Person-centric health management is slowly acknowledging the device-driven lives of patients and health plan members and incorporating these tools into care delivery and management efforts.

2016 Healthcare Benchmarks: Digital Health examines program goals, platforms, components, development strategies, target populations and health conditions, patient engagement metrics, results and challenges reported by more than 100 healthcare organizations responding to the February 2016 Digital Health survey by the Healthcare Intelligence Network.

Get the latest healthcare infographics delivered to your e-inbox with Eye on Infographics, a bi-weekly, e-newsletter digest of visual healthcare data. Click here to sign up today.

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Guest Post: Combining Big Data, EHRs and IoT for Chronic Disease Management

November 7th, 2017 by Brian Geary, Senior Account Manager, AndPlus

Providers and developers can work together to create solutions that leverage big data, EHRs and the IoT.

Have you ever used a Fitbit® or an Apple Watch®, or downloaded a mHealth app? If so, are you using these tools as an integrated way to improve your health?

The more we use technology, the more we want it to do for us. With millions of people living with complex diseases such as diabetes, cancer and heart disease, the development of intuitive and secure chronic disease management tools has become indispensable.

Yet, these tools may not support successful, sustained disease management—at least, not without the help of providers themselves.

More than 40 percent of patients who had downloaded an mHealth app had stopped using it when the app failed to provide accurate, personalized and actionable strategies for achieving their health goals. High data entry burden, hidden fees, and poor usability were other sticking points for these patients.

Another study carried out by an international team of researchers tracked 800 people for a year to see what impact Fitbit had on their health. The experts concluded that such devices are unlikely to be a magic bullet for the early detection and monitoring of chronic diseases.

So how can providers and developers work together to create engaging and supportive solutions that leverage big data, electronic health records and the Internet of Things (IoT) to utmost effect?

Using Big Data to Make Wiser Medical Decisions

Big data analytics allow providers to discover certain patterns that assist them in making better predictions about certain diseases.

With the help of big data and IoT, including patient records, clinical trials, insurance claims, and wearables, providers can discern the extent to which each intervention, as well as its associated expenditures, contribute to the improvement of their patients’ health.

However, in order to achieve measurable cost savings and long-lasting chronic disease control for patients, software models are required to help clinicians organize the data, recognize patterns, interpret results, and set thresholds for actions.

For example, to avoid the failure of an EHR to keep up with one’s sudden healthcare changes, hospitals should look at its software as being only the foundation of their health information, risking a negative impact on patient care.

Through department-appropriate software customization, hospitals can cut down wasted time spent scrolling through irrelevant screens and unnecessary fields, tracking down patient histories and reviewing duplicate data.

Having an intuitive, user-friendly EHR software also helps patients be more informed about their own health and prevents potential issues. They can access test results to see when follow-up appointments are due or communicate with their doctors to bring up any issues that may show significant health problems.

5 Things to Look for When Choosing an EHR System

    • Firstly, your EHR system should integrate easily with other systems within the hospital, such as clinical discussion support systems, laboratory information systems and other tools.
    • Further to considering the individual and specific departmental needs in a hospital, the other important feature of EHR software is customization (e.g. streamlining manual data entry). This is also advantageous for patients, as a customizable EHR system can be tailored to suit specific needs for data access, education and portability.
    • To make the most out of technological advancements and the benefits of customization, constant performance reviews of the chosen EHR systems in real-life scenarios are highly important. For example, when Medica conducted a research study to identify how they could improve their blood gas analyzer product line, it found out that its user interface needed a refresh. The outdated push button control system caused a lengthy training process for new users, so it required a radically improved user interface.
       
    • Make EHR software accessible with smartphones and tablets and provide easy access from connected devices, freeing clinicians from their workstations and creating access to patient data remotely. With accessibility, productivity soars and doctors can provide better care and reduce the lag between diagnosis and treatment, while lowering healthcare costs and improving patient’s compliance with treatment through consistent two-way communication.
    • Last but not least, a customized solution for your EHR can align workflows with the current processes a staff is already following, which can save time and prevent confusion when training users on the new EHR.

    By ensuring all your staff members receive thorough training and have access to ongoing support when questions or problems arise, the risk of the EHR becoming outdated is also minimized. Situations such as missing patient history or test results, which can lead to delayed diagnosis, unnecessary tests or even a misdiagnosis, are avoided.

    IoT Benefits for Healthcare Providers and Patients

    Doctors, nurses, and caregivers are not the only benefactors of IoT and healthcare apps. These devices can alert medical staff to wandering patients, monitor ICU patients or potentially dangerous procedures and treatments.

    Moreover, if a patient with a chronic illness needs immediate attention, the IoT can alert medical experts, and even connect the two to talk them through an emergency.

    In terms of direct patient benefits, IoT devices can remind patients when to take their medications, alert them about pending prescription refills or train them about upcoming medical procedures, while transferring relevant medical information back to the patient’s healthcare provider.

    To sum up, big data, electronic health records, and IoT devices have the potential to save money and often, even people’s lives. Together they contribute to increased efficiency, improved patient satisfaction and more time to focus on patient care.

    About the Author: Brian Geary is a senior account manager for AndPlus, LLC. Brian is a true believer in the Agile process. He often assists the development process by performing the product owner role. In addition to his technical background, he is an experienced account manager with a background in sales and customer service, as well as graphic design and marketing. Brian’s role at AndPlus ranges from marketing to sales and everything in between. Brian brings 10+ years of graphic design, marketing and account management experience to AndPlus.

    HIN Disclaimer: The opinions, representations and statements made within this guest article are those of the author and not of the Healthcare Intelligence Network as a whole. Any copyright remains with the author and any liability with regard to infringement of intellectual property rights remain with them. The company accepts no liability for any errors, omissions or representations.