Archive for the ‘Data Analytics’ Category

2018 Success Strategy: Differentiate to Survive Next Wave of Healthcare

January 5th, 2018 by Patricia Donovan

Are supermarkets the next wave of healthcare?

Perhaps not, but if a health insurer can move into the community pharmacy, why not the local grocery store?

On the heels of the recent non-traditional CVS Health-Aetna merger and amidst other swirling consolidation rumors, industry thought leaders are encouraging healthcare organizations to embrace similar partnerships and synergies.

And given the presence of pharmacies inside many supermarkets, “there is potential for greater synergies around what we eat, what we buy and how our healthcare is actually purchased or delivered,” suggests David Buchanan, president of Buchanan Strategies.

“The bonanza [from this merger] might be where data can be shared between CVS’s customers and Aetna’s customers and whether we can steer those CVS customers to Aetna,” he added.

Buchanan and Brian Sanderson, managing principal of healthcare services for Crowe Horwath, sketched a roadmap to help healthcare providers and payors navigate the key trends, challenges and opportunities that beckon in 2018 during Trends Shaping the Healthcare Industry in 2018: A Strategic Planning Session, a December 2017 webinar now available for rebroadcast.

Key guideposts on the road to success: data analytics, consolidation, population health management, patient and member engagement, and telemedicine, among other indicators. Also, organizations shouldn’t hesitate to test-drive new roles in order to differentiate themselves in the marketplace.

“If you are not differentiated, you will not survive in what is a very fluid marketplace,” Sanderson advised.

Honing in on the healthcare provider perspective, Sanderson posed five key questions to help shape physician, hospital and health system strategies, including, “What are the powerful patterns?” Industry mergers, an infusion of private equity money into areas like ambulatory care and emerging value-based payment models fall into this category, he suggested.

These patterns were echoed in four primary trends Sanderson outlined as shaping the direction of the healthcare market, which faces an increasingly “impatient” patient. “I could tell you the market wants care everywhere,” he said. “In the same way we have become impatient with our commoditized goods, so have patients become impatient with accessing care.”

Among these trends are “unclear models of reimbursement,” he noted, adding that after a self-imposed “pause” relative to healthcare reimbursement at the start of a new presidential administration, the industry is ready to “restart with some new sponsors now.”

Notably, Sanderson advised providers to embrace population management. “Don’t think population health, think population management. It’s no longer just the clinical aspects of a patient’s or a population’s health. It’s the overall management of their well-being.”

Following Sanderson’s five winning strategies for healthcare provider success, David Buchanan outlined his list of hot-button items for insurers, which ranged from the future of Obamacare and member engagement to telemedicine, healthcare payment costs and models and trends in Medicare and Medicaid.

Healthcare payors should not underestimate the value of engaging its members, who today possess higher levels of health literacy, he stated. “The member must be an integral part of healthcare transactions, as are the provider, the facility and the insurer. The member must have a greater level of personal responsibility and engagement in the process.”

Offering members wearable health technologies like fitness trackers is one way insurers might engage individuals in their health while creating ‘stickiness’ and member allegiance to the health plan.

Telemedicine, the fastest growing healthcare segment, is another means of extending payors’ reach and increasing profitability, he adds. “Telemedicine is not just for rural health settings anymore, but is finding another subset of adopters among people who can’t fit a doctor’s visit into their busy schedule.”

Payors should expect some competition in this area. “I believe the next wave [of telehealth] will be hospitals expanding into local telehealth services as a lead-in to their local clinics,” Buchanan predicted.

The use of artificial intelligence (AI) and robotics in healthcare is growing, but Buchanan and Sanderson agree that adoption will be slow. On the other hand, expect more collaboration between digital players like Amazon, Google and Apple and larger health plans.

“You will see [synergies] when you can put those two players together: the company that can bring the technology to the table as well as those companies that bring the users to the table,” concluded Buchanan.

Listen to a HIN HealthSounds podcast in which David Buchanan predicts the future of mega mergers in healthcare, the impact of the CVS-Aetna alliance on brand awareness, and the real ‘bonanza’ of the $69 billion partnership, beyond bringing healthcare closer to home for many consumers.

Infographic: Impact of New Hypertension Guidelines

November 27th, 2017 by Melanie Matthews

OM1, an AI health outcomes and data company, has released an analysis on the impact of the new American College of Cardiology (ACC) and American Heart Association (AHA) high blood pressure guidelines. Using the OM1 Intelligent Data Cloud, OM1 performed preliminary analyses to evaluate the impact of the new guidelines on approximately 19 million adults over 20 years of age with more than 120 million blood pressure measurements, who had been seen for a scheduled visit over the last year.

A new infographic by OM1 highlights the findings of this data analysis.

Health Analytics in Accountable Care: Leveraging Data to Transform ACO Performance and Results Between Medicare’s aggressive migration to value-based payment models and MACRA’s 2017 Quality Payment Program rollout, healthcare providers must accept the inevitability of participation in fee-for-quality reimbursement design—as well as cultivating a grounding in health data analytics to enhance success.

As an early adopter of the Medicare Shared Savings Program (MSSP) and the largest sponsor of MSSP accountable care organizations (ACOs), Collaborative Health Systems (CHS) is uniquely positioned to advise providers on the benefits of data analytics and technology, which CHS views as a major driver in its achievements in the MSSP arena. In performance year 2014, nine of CHS’s 24 MSSP ACOs generated savings and received payments of almost $27 million.

Health Analytics in Accountable Care: Leveraging Data to Transform ACO Performance and Results 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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Have an infographic you’d like featured on our site? Click here for submission guidelines.

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.

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.

Data Analytics, SDOH Screenings Flag Disengaged and 12 More Patient Engagement Trends

October 5th, 2017 by Patricia Donovan

More than 70 percent of healthcare organizations have created formal patient engagement initiatives, according to 2017 benchmarks from the Healthcare Intelligence Network.


To identify individuals that are poorly engaged in their health, nearly two-thirds (63 percent) of healthcare organizations mine clinical data analytics, according to the 2017 Patient Engagement Survey by the Healthcare Intelligence Network, while 37 percent screen patients for social determinants of health related to housing, care access, transportation, nutrition and finances.

Patients who screen positive for social determinants of health (SDOH) and individuals with diabetes are typically the most difficult populations to engage, according to 2017 survey benchmarks.

Thirty-five percent of respondents to the September 2017 survey said the presence of SDOHs, which the World Health Organization defines as “conditions in which people are born, grow, live, work and age,” pose the greatest challenge to health engagement, while 26 percent said a diabetes diagnosis presents the top clinical challenge to engagement interventions.

One-quarter report some resolution of SDOH factors resulting from engagement efforts.

To improve engagement, 75 percent of respondents rely on education of patients, family and caregivers, supported with telephonic outreach (13 percent) and home visits (13 percent).

Efforts by 71 percent of respondents to create a formal patient engagement program underscore the critical role of engagement in healthcare’s value-based care and reimbursement models, particularly in regards to chronic illness.

In other survey findings:

  • Patient experience rankings are the most reliable measure of engagement program success, say 43 percent.
  • For one quarter of respondents, patient engagement is the primary domain of case managers.
  • Eighty-three percent saw quality metrics improve as a result of patient engagement efforts.
  • Half attributed a drop in hospital emergency room visits to their patient engagement interventions.

Download an executive summary of the 2017 Patient Engagement Survey.

Infographic: How Digital Healthcare Transformation Powers the Internet of Things

August 30th, 2017 by Melanie Matthews

Data is coming at healthcare organizations in massive waves, from computing devices (such as smartphones and tablets) to connected devices (like smart refrigerators and wearable health monitors). Enterprises that collect, store and analyze this data effectively can use it to drive innovations through the Internet of Things (IoT), according to a new infographic by CDW.

The infographic details how IoT enables capabilities such as data analysis for predictive insight and better decision-making, as well as automation to improve the efficiency and productivity of far-flung operations.

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.

Have an infographic you’d like featured on our site? Click here for submission guidelines.

Infographic: Harnessing the Power of Unstructured Healthcare Data

August 25th, 2017 by Melanie Matthews

Finding meaning in patient care data will require looking beyond the 20-30% that is “structured” and stored within the EHR/EMR. A complete patient record is 80% unstructured data. From imaging to lab results, photos to findings—unstructured data management, sharing, workflow and analysis will power decisions and inform outcomes. Harnessing this data and turning it into actionable intelligence is a goal of a handful of leading HIT teams, according to a new infographic by Clarity Quest.

The infographic highlights the rapid growth of unstructured content and its impact on downstream analysis and provides a listing of enterprise imaging, workflow and analysis leaders.

2016 Healthcare Benchmarks: Data Analytics and IntegrationThe 2016 Healthcare Benchmarks: Data Analytics and Integration assembles hundreds of metrics on data analytics and integration from hospitals, health plans, physician practices and other responding organizations, charting the impact of data analytics on population health management, health outcomes, utilization and cost.

2016 Healthcare Benchmarks: Data Analytics and Integration examines the goals, data types, collection processes, program elements, challenges and successes shared by healthcare organizations responding to the January 2016 Data Analytics survey by the Healthcare Intelligence Network. Click here for more information.

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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Infographic: Reducing Clinical Variation Through Analytics

August 11th, 2017 by Melanie Matthews

Some 42 percent of wasteful healthcare spending in the United States is attributed to clinical variation, according to a new infographic by Qlik.

The infographic looks at the financial and social cost of clinical variation and how to advance positive outcomes using analytics.

Health Analytics in Accountable Care: Leveraging Data to Transform ACO Performance and Results Between Medicare’s aggressive migration to value-based payment models and MACRA’s 2017 Quality Payment Program rollout, healthcare providers must accept the inevitability of participation in fee-for-quality reimbursement design—as well as cultivating a grounding in health data analytics to enhance success.

As an early adopter of the Medicare Shared Savings Program (MSSP) and the largest sponsor of MSSP accountable care organizations (ACOs), Collaborative Health Systems (CHS) is uniquely positioned to advise providers on the benefits of data analytics and technology, which CHS views as a major driver in its achievements in the MSSP arena. In performance year 2014, nine of CHS’s 24 MSSP ACOs generated savings and received payments of almost $27 million.

Health Analytics in Accountable Care: Leveraging Data to Transform ACO Performance and Results 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.

Have an infographic you’d like featured on our site? Click here for submission guidelines.

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Service Action Teams Turn Front-Line Staff into Patient Experience Ambassadors

August 8th, 2017 by Patricia Donovan
Patient Experience

Increasingly, patient satisfaction scores figure into payors’ healthcare reimbursement formulas.

UnityPoint Health is so invested in the concept of patient experience that it charges each member of its organization, whether healthcare provider or not, with a set of basic behaviors designed to improve it.

These four foundational behaviors, rooted in courtesy and common sense, drive the manner in which patients, families and visitors are greeted and assisted at all times.

“We know there are dozens of initiatives and tactics that can be used to help improve patient experience,” said Paige Moore, director of patient experience at UnityPoint Health-Des Moines, “But the four we chose were driven by patient and visitor comments and feedback.”

Ms. Moore shared these behaviors, as well as an inside look at her organization’s patient experience improvement plan, during Improving the Patient Experience: Engaging Front-line Staff for a System-Wide Action Plan, a July 2017 webinar now available in on-demand and training formats.

Having established this system-wide coda for all employees, UnityPoint Health next looked at further enlisting its frontline staff in efforts to improve the patient experience. To do so, it created a set of seven service action teams, with two more in the works.

Each service action team is composed of at least 50 percent of that department’s frontline staff, rounded out by an executive sponsor and team lead.

“We want all of our team members to be actively engaged in the projects, to take responsibility for them, to be ambassadors and patient experience champions throughout the organization,” explained Ms. Moore.

Each team reviews results from HCAHPS® and Press Ganey® patient experience surveys to identify department priorities, such as nurses’ narration of care, physicians’ use of clear language, or discharge or transfer processes.

UnityPoint Health launched its first service action team in 2014 for outpatient services. “This was our largest volume for surveys and it also had some of our lowest patient experience performance. We really wanted to get in and see what could we do to make the biggest impact on the highest number of our patients.”

Once that team developed some tactics to improve patient privacy concerns, wait times and registration processes, it saw improvements in those areas.

During the program, Ms. Moore outlined priorities and shared results from each service action team.

Importantly, there are two support service action teams: a measurements team to educate employees on the relevance of patient experience scores and their role in them, and a communications team to convey information on patient experience activities throughout UnityPoint Health. The health system also recently launched an “Excellence in Patient Experience” awards program.

And rounding out the program is the placement of patient experience directors like Ms. Moore throughout the organization, each supported by a physician champion.

Physician education in patient experience is ongoing, she added, whether during rounds or mandatory one-on-one shadowing and coaching for patient experience for all new hires.

Listen to an interview with Paige Moore on UnityPointHealth’s four foundational behaviors.

Infographic: The Prescription for Getting ROI From Analytics

July 26th, 2017 by Melanie Matthews

As the amount of patient data increases, healthcare organizations are investing in healthcare analytics solutions, according to a new infographic by IBM. To allow organizations to draw complex data insights from intricate, personal and rapidly changing data, healthcare organizations can benefit from a complete business intelligence (BI) solution.

The infographic looks at the trends driving this investment in analytics.

Health Analytics in Accountable Care: Leveraging Data to Transform ACO Performance and Results Between Medicare’s aggressive migration to value-based payment models and MACRA’s 2017 Quality Payment Program rollout, healthcare providers must accept the inevitability of participation in fee-for-quality reimbursement design—as well as cultivating a grounding in health data analytics to enhance success.

As an early adopter of the Medicare Shared Savings Program (MSSP) and the largest sponsor of MSSP accountable care organizations (ACOs), Collaborative Health Systems (CHS) is uniquely positioned to advise providers on the benefits of data analytics and technology, which CHS views as a major driver in its achievements in the MSSP arena. In performance year 2014, nine of CHS’s 24 MSSP ACOs generated savings and received payments of almost $27 million.

Health Analytics in Accountable Care: Leveraging Data to Transform ACO Performance and Results 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.

Have an infographic you’d like featured on our site? Click here for submission guidelines.