Tag: value-based care

Value-Based Care: What Happened, What’s Next

By Matthew Fusan, director of customer experience, SA Ignite.

Matthew Fusan
Matthew Fusan

Although the Quality Payment Program (QPP) has been in effect for a year, there continues to be a lot of change in the program as CMS continues to evolve. The new year creates an ideal time to reflect back on what changes we have experienced to date as well as look forward and examine what could happen in 2018 and beyond.

2017: A Year of Regulatory Confusion

As the QPP rolled out, confusion still reigned supreme at both the CMS and HHS levels:

2018: More Focus, More Models

While some programs are being cut/reduced, there is still pressure on CMS to accelerate new Advanced Alternative Payment Models (APMs) so they are exploring options during 2018.

While these models are all under consideration/in development, it will be interesting to see if the CMMI RFI will drive additional choice or will the changes proposed consume CMMI for 2018 and reduce the capacity to introduce new models. Either way, CMMI will look very different in 2018 and beyond.

2019: Change is Mandated

In 2019, critical components of MIPS are mandated, including:

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3 Skills Developers Need Today to Modernize Healthcare

Joanna Gorovoy, senior director product and solutions marketing, Axway.

Joanna Gorovoy
Joanna Gorovoy

To accelerate the shift toward value-based care – organizations across the healthcare ecosystem must find new ways to unlock value from an ever-expanding array of data sources to create data-rich digital services and experiences that improve patient engagement, enable delivery of more personalized healthcare services, and increase clinical collaboration and care coordination across the patient journey. Developers play a key role in accelerating innovation that will shape the future of healthcare and positively impact patient outcomes. But innovating at the speed of digital is challenging in an industry that has long been plagued by interoperability challenges, a prevalence of legacy, siloed systems and applications, and heightened data privacy and security requirements which hinder digital projects. As a result, there are a few key things developers should keep in mind when designing for today’s healthcare market.

You can’t spell interoperability without A-P-I

The frustrations associated with sharing information have burdened the healthcare industry’s digitization efforts for many years. With application programming interfaces (APIs) taking hold, however, data exchange is now easier to accomplish. APIs are revolutionizing data sharing by making it possible to bridge legacy IT systems of record, such as electronic heath records (EHRs), with modern systems of digital engagement, such as mobile apps. Healthcare developers must take an API-first approach and will need to gain knowledge of the latest healthcare interoperability standards – such as FHIR. FHIR (Fast Healthcare Interoperability Resources) is an HL7 standard that simplifies the exchange of healthcare information and promotes the use of APIs to support light-weight integration, facilitating secure data access and interoperability. As healthcare developers increasingly leverage APIs to move beyond some of the challenges associated with secure data sharing and opening up proprietary EHR systems, this will result in faster time to market for innovative digital services and experiences.

Create a sound security strategy

Security must always be top of mind for healthcare developers. Before writing a single line of code, healthcare developers should familiarize themselves with HIPAA regulations that protect all personal health data transactions and impose hefty penalties for violations. As developers design apps that leverage patient health data from a variety of sources, they need to take the time to understand how this law works and must be mindful of how to mitigate security concerns. Adopting a full lifecycle API management solution enables developers to secure and manage FHIR and other healthcare APIs in a unified way across projects and communities, ensure data security and streamline compliance and help reduce the data security burden by using built in, configurable audit trails and reporting.

Inviting external innovation

Healthcare organizations are increasingly looking to invite open innovation into their organizations as they struggle to keep pace with digital transformation. Organizations such as Kaiser Permanente, Johnson and Johnson and Stanford, for example, have hosted developer challenges and hackathons to stimulate innovation and bring in fresh perspectives from developers outside of their organization/industry to help tackle big problems such as healthcare access and affordability. As the industry struggles with IT modernization challenges, developers who have experience working across multiple industries can provide a fresh point of view and can contribute skills and approaches they have gained developing applications for other industries/use cases to provide value to healthcare.

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Axway 2018 Healthcare Predictions

Guest post by Joanna Gorovoy, senior director product and solutions marketing, Axway.

Joanna Gorovoy
Joanna Gorovoy

Healthcare organizations need to unlock the value of their data
In 2018, the healthcare industry will accelerate its shift toward value-based healthcare as the industry struggles to address challenges associated with rising cost burdens, an explosion of data and increased mobility. Along with evolving government policy, organizations across the healthcare ecosystem will face a rise in healthcare consumerism as patients bear more risk, face higher out of pocket costs, and demand more value.

Unlocking the value of a wealth of patient data will be key to improving patient engagement, delivering more personalized healthcare products and services, and improving collaboration and care coordination across the patient journey – all critical to enabling value-based care delivery and improving outcomes.

In 2018 AI goes from science fiction to reality in healthcare
Population health and precision medicine are among the initiatives where AI is expected to have the greatest impact. Based on a recent HIMSS study: About 35 percent of healthcare organizations plan to leverage artificial intelligence within two years — and more than half intend to do so within five. Focusing AI investments on population health, clinical decision support, patient diagnosis and precision medicine supports the industry shift toward value-based, personalized care models and reinforces the use of AI to augment intelligence and skills of physicians and drive efficiency in diagnosis and treatment.

Some current use cases include: Enhancing speed and accuracy of diagnosis medical imaging, supporting surgeon workflow and decision-making during (e.g. spine implants), virtual assistants to enhance interactions between patients and caregivers to improve the customer experience and reduce physician burnout, and digital verification of insurance and claims information.

The Future of Healthcare with 100 Percent Interoperability

Guest post by Abhinav Shashank, CEO and co-founder, Innovaccer.

Abhinav Shashank
Abhinav Shashank

A personal health record of any patient, whether it is an aging parent, a spouse or a child with a chronic illness, contains a summary of medications, lab results, visit notes, billing information and more, and interoperability makes it easy to manage all these files and documents with just a few clicks.

Every form of health data makes an entry in an EHR today thanks to the shift towards a digitized healthcare in U.S. Although this has made data entry, storage, retrieval and exchange easier, it has brought with it certain challenges. Integrating and utilizing EHRs is the first baby step; however, if we are to overcome all the hurdles then achieving 100 percent EHR interoperability is the summit where we are yet to reach.

Physicians want to optimize the full potential and promise of EHRs for the simple reason that improved communication between systems will lead to a better and enhanced care. Once all the systems in use nationwide are connected and interacting with each other, patients will find it easier to seek a second opinion as their health information will reach the physician in a matter of seconds.

How interoperability exists today

Today, various interoperability standards have developed for the sake of continuous improvement in this realm. Health Level Seven (HL7) has produced the likes of HL7v2, HL7v3, and the latest FHIR as competent standards that exist in the industry for better streamlining of documentation and care coordination. With the help of FHIR, physicians can access health data on their mobile phones through various API (Application Programming Interface) functions that FHIR supports. This ease of access to complete and accurate patient data, in due course, helps in many ways. As providers and health coaches work together on improving the health of people, it also significant for them to be able to access accurate data from sources other than EHRs. Apart from EHRs, HIEs have popped up in various places that allow for the smooth flow of data across the health care network.

Ways in which interoperability facilitates healthcare

Physicians can easily access and share medical information with their patients and perform their tasks with greater efficiency. This could be done by increasing the efficiency of monitoring chronic diseases. Besides saving time and labor cost, physicians and patients with access to interoperable health information can benefit from higher-quality patient outcomes. Interoperable EHRs carry the potential of giving easy and ongoing access to patient’s health records to the physician. For a doctor to have an updated and detailed medical history of his patient cannot just be live-saving, it will mainly help those people who are always on the move. This will empower an individual to move across the continuum of care seamlessly with their clinical record.

Doing more with less

As value-based care and reimbursements stepped into healthcare, the US managed to turn the tide towards a more qualitative and equitable delivery of care. This has made physicians more responsible for better patient health outcomes than ever before. To manage hospital readmission and managed care plans, physicians need to have as much patient information as possible at hand at all times. This is where interoperability comes into play by aggregating and relaying data from disparate regions and bringing it onto a single platform.

For a secure data exchange to take place amongst healthcare organizations and patients, it’s important that both parties are willing and equally involved in the sharing process. This will inevitably lead to shared decision making apart from the fact that the physician will be able to make quick and informed decisions. The ultimate aim is to have a complete understanding of the health status of patients and helping them navigate effectively in their health journey for a better patient experience.

Patient-centric interoperability is the direction in which healthcare is slowly moving. There’s so much that we can do with the availability of data. Ongoing monitoring of patient data can better facilitate the ongoing management of that patient’s health and the physician can intervene where necessary. With this, patients too can track their progress and work towards improving their health hand-in-hand with the physicians.

 Challenges that interoperability is yet to solve

 One of the issues that interoperability is dealing with today is the vast and disjointed patient data that exists in regional HIEs and independent, transactional databases like EHRs. Along with this, patient privacy concerns and consent are other risk factors that need to be considered when diving through protected health information data. Lack of a common standard, state policy rules, workflow and policy difference and the need for incentives are some barriers in the way of achieving 100 percent interoperability.

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Why is Data the Medicine to Cure Modern Healthcare?

Guest post by Abhinav Shashank, CEO and co-founder, Innovaccer.

Abhinav Shashank
Abhinav Shashank

The world of healthcare analytics is vast and can encompass a wide range of data that has the incredible potential to tell stories about health and healthcare delivery: right from individual patients to entire populations. Having numbers and an easy-to-use visualization at hand gives providers and caregivers the power to not only look into the lives of individual patients but also track the ongoing activities in their organizations. Simply showing visualizations are not enough and to fully understand their value, healthcare organizations have to take a few steps beyond basic graphs.

The Case for Data Visualization

In the words of Edward O. Wilson, the father or social biology:

“You teach me, I forget.
You show me, I remember.
You involve me, I understand.”

There are many disparate data sources healthcare providers have to deal with: EHRs, departmental data, claims data, resource utilization, administrative data, etc. Consolidating the data and spreading it out in a visually adaptive manner offers a more agile approach to managing complex population health data.

Data visualization was developed with the aim to make it easier to gain actionable insights from volumes of information and work on improving health programs, clinical healthcare delivery, and post-episode care management. Visualization provides real value in learning from disparate data sources, finding outliers, bringing out hidden trends out on the front, and delivering better health outcomes.

Streamlining Different Data Sources into a Single Source of Truth

Since the data pertaining to a patient’s health comes in from various sources, it is vital to pool all the data sets and obtain an aggregated, standard format of data every authorized person can view and manipulate.

Data in the healthcare industry can broadly be categorized into two sources:

Fine-tuning Real-Time Visualization

The amount of data healthcare institutions aggregate is enormous: by 2012, it was estimated to be a whopping 150 exabytes (150 million * million * million) and is growing at a rate of 48 percent per year. As the volume grows, healthcare organizations need state-of-the-art, real-time analytical capabilities to improve the care quality and its effectiveness. Real-time analytics can turn the tables in ways more than one:

Since data visualization holds great advantage to understand the going-ons in the organization in real-time, here are some key elements that count as best practices for data visualization:

Wrap-up with Healthcare IT

By leveraging healthcare IT, organizations can have their hands on simple but effective visualization and take a look at additional, important information that might have been difficult to notice in tabular format. Here are some ways healthcare IT can drive real-time data visualization to success:

Driving Value with Visualization

With healthcare IT now an integral part of the value-based care system, there is little doubt that convenient, real-time data visualization will be heavily used to achieve positive health outcomes. Combining real-time data with advanced analytics will completely reshape how healthcare IT can improve clinical and operational outcomes. Once physicians move away from long, incomprehensible data flows, and find an alternative that helps them instinctively read, isolate, and act upon the insights, only then can we be one step closer to a data-driven value-based care.

The Prospects for Value-Based Care After the Demise of the AHCA

Guest post by Ken Perez, vice president of healthcare policy, Omnicell, Inc.

Ken Perez

The recently concluded debate about the American Health Care Act (AHCA), the Republicans’ first attempt at a Patient Protection and Affordable Care Act (ACA) replacement plan, centered largely around issues of insurance coverage and access to care.

The real turning point for the AHCA seemed to be the Congressional Budget Office’s March 13 release of its analysis of the bill, which concluded, among many things, that millions more Americans would be uninsured under the AHCA than under the ACA (14 million in 2018, 21 million in 2020, and 24 million in 2026).

After it became clear that the roughly three-dozen member Republican House Freedom Caucus—which sought a more aggressive piece of legislation that would gut the ACA—would not support the bill, House Speaker Paul Ryan concluded that the Republicans lacked the needed votes. Thus, on March 24, he pulled the AHCA from the floor. Ryan told reporters, “I don’t know what else to say other than Obamacare is the law of the land” and “We’re going to be living with Obamacare for the foreseeable future.”

With the focus mainly on coverage and access issues, a largely unasked question has been, “What will happen to value-based care?” The AHCA did not address this area, though, perhaps the Republicans intended to cover it in phase two or three of their grand plan to repeal and replace the ACA. As originally envisioned by congressional Republicans, phase two will consist of executive branch initiatives (e.g., actions by the Department of Health and Human Services and presidential executive orders), and phase three will include subsequent pieces of legislation addressing other aspects of the ACA.

The fate of value-based care is an important topic because U.S. healthcare costs continue to escalate and outpace general inflation—increasing 5.8 percent and reaching $3.2 trillion in 2015, equal to almost $10,000 per person per year. In addition, the ACA mandated five major healthcare delivery reforms promoting value-based care:

Moreover, the ACA provided funding of $10 billion over 10 years for the Center for Medicare and Medicaid Innovation (CMMI), which was tasked with testing and evaluating various payment and service delivery models involving, in most cases, voluntary provider participation, with only a few models being mandatory.

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Why is Population Health Management Important?

Guest post by Abhinav Shashank, CEO and co-founder, Innovaccer.

Abhinav Shashank
Abhinav Shashank

The way we see healthcare today is very different from what it was a couple of decades ago. Back then, we did not have the technology to capture the best practices. But, today we have the capability to use medical data as a source of innovation and create impact at scale. But the question is are we capitalizing on it? Have we made the lives easier for both patients and care teams? Are we close to the goals we started chasing ten years ago?

When we talk about innovation in healthcare, we stumble across intuition. The intuition of care teams enhanced by data-driven approaches. It is not just limited providing connectivity to healthcare organizations; it is also about providing advanced analytics and reducing the cumbersome, tedious work! Like deep diving for hours on Excel or making quality tracking and reporting easier.

The concept of population health management is a new one. It has evolved from an idea to become a clinical discipline that works on developing and continually refining measures to improve the health status of populations. A successful population health management program thrives on the vision to deliver robust and coordinated care through a well-managed partnership network. This said, there is no one definition of Population Health Management, fifty different CIOs in an interview gave different definitions to this term. It is a broad concept and covers a lot under its umbrella.

What does an ordinary health IT setup lack?

True, the healthcare systems are working on building the skills to interact and develop well-planned health intervention strategies to move away from the traditional fee-for-service model to value-based reimbursements and incorporating value, but they are falling short in many areas:

Limited EHR capability: EHRs played a pivotal role in digitizing health care, but with EHR technology many restrictions came along. Today, only a few are equipped to support the necessary interoperable standards. To deliver better clinical outcomes, it is of paramount importance that we have the data and right analytics to ensure improvements; something healthcare organizations lack even today.

Integrating data sources: A patient who is being relocated to a new state and will have a new PCP and Care Coordinator. Can we say with confidence that the patient’s information will be available to the new PCP? In a large healthcare network, there is labs, pharmacy, clinical, claims, and operational data, but the capability to integrate it into a single source of truth is still a challenge for many! This has limited the potential of care teams and made them communicate in a disconnected ecosystem.

Risk Stratification: 50 percent of expenditure in healthcare is on 5 percent patient population. Wouldn’t it be great if we could find these patients and cure them before any acute episode? Back in 2012, about 117 million Americans had one or more chronic conditions, and account for 86 percent of the entire healthcare spending. The road to population health management will require care teams to recognize at-risk population timely to reduce cost and improve outcomes!

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4 Care Coordination Strategies to Drive Change

Guest post by Andy Ridinger, director of client experience, MyHealthDirect.

Andrew Ridinger
Andrew Ridinger

Despite much of the uncertainty facing the future of the health care industry, the shift to value-based care is not going to go away. Regardless of what new laws may decide, organizations need care coordination tools now more than ever to be successful. Doctors and hospital officials continue to cite care coordination as a key advantage in accountable care models, which seek to more tightly integrate providers and maintain joint financial incentives that deliver better-quality and lower-cost services.

In the United States, more than a third of patients are referred to a specialist each year, and specialist visits constitute more than half of outpatient visits. Referrals are the crucial link between primary and specialty care. Yet despite this frequency, the referral process itself has been a great frustration for many years. The transformation to value-based healthcare is well underway with a shift away from the quantity of patients to the achievement of better health outcomes.

The current state of the specialty-referral process in the U.S. provides substantial opportunities for improvement, as there are breakdowns and inefficiencies throughout. These are inevitable when the process hinges on a patient following through on a slip of paper. It is no wonder that of the one third of patients that receive referrals, 20 percent never follow through to schedule a visit. Of the referrals that are completed, a host of other challenges often result. Sometimes it is just a disconnect of information between the two providers but can be an incorrect provider altogether. The final outcome is poor for everyone involved; patient, referrer, and target provider alike.

To improve the referral process and care coordination, here are four strategies to facilitate greater convenience in care coordination initiatives:

Make it digital 
Just by enabling online booking, referral lead times (time between a PCP and specialist office visit) decrease by up to 36 percent, and show rates improve by 20 percent. Additionally, on the spot booking to a specialist reduces patient leakage for health systems. It can guarantee that care is rendered by the best-suited physicians within your preferred network.

Make it best-fit 
The most effective appointment maximizes show rates and minimizes lead times. A provider must select the preferred physician with the earliest availability at a time the patient is likely to show up. Optimized scheduling can yield up to a five times increase in referral completion rates.

Make it measurable 
The best way to improve referral completion rates and reduce lead times is to capture the relevant data points in a timely manner so that you can track changes over time. Presenting the data in an easily consumable and actionable format is equally critical.

Connect the docs 
To know if patients complete visits, it is critical that all parties share the right information and facilitate two-way communication in real time. A primary care physician making a referral is far better equipped to manage a patient’s health if she receives show status and notes back from the specialist visit as soon as that information is entered into the specialist’s electronic health record.

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How Healthcare Will Start to Find Its Humanity Again in 2017

Guest post by Richard Loomis, chief medical officer and VP of informatics, Practice Fusion.

Richard Loomis

In 2016 the healthcare industry made a number of meaningful strides on the move to value-based care, culminating in October with CMS issuing the final rule for the Quality Payment Program (QPP). As the largest program of its kind, the QPP will replace existing programs such as meaningful use and PQRS and fundamentally change the way providers receive payment for patients with Medicare Part B coverage.

In 2017, this focus on value will begin to shift to the vast value found in restoring the provider-patient relationship that drives individualized care and best outcomes. Healthcare isn’t ultimately about quality programs, big data or population health management — it’s about improving our shared human experience and to live happier, longer, more fulfilling lives. The healthcare industry will start restoring this humanity by unwinding the complexity of care delivery and supporting individualized care through a number of new and exciting ways in the new year. Below are five themes we’re predicting to see in 2017:

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How Does the Future of Health IT Look Under the New Administration?

Guest post by Abhinav Shashank, CEO and co-founder, Innovaccer.

Abhinav Shashank
Abhinav Shashank

The picture of healthcare industry is changing rapidly and still continues to evolve, with technology playing a huge role and the other factor being the government. With a new administration in the White House, the Senate and the House of Representatives, there ought to be numerous changes in healthcare, modifying ACA being one of them. Come January, what will be the effect of the new policies of the GOP have on health IT?

Healthcare Today

In his victory speech, President-elect Donald Trump emphasized on restoring and improving infrastructure and calling healthcare and hospitals an integral part of that plan. The Trump administration even after a session is less likely to remove its focus from IT investments and developments in healthcare; the Republicans believe in leveraging technology and healthcare experts are confident that healthcare-related initiatives like Cancer Moonshot and Precision Medicine Initiative will continue to speed up.

According to a recent ONC report, 96 percent of hospitals and 78 percent of physician offices were using certified EHRs to maintain patient data.

With digital initiatives developing, the hassle in prescribing medicines, scheduling appointments and access to vital records have reduced.

Making the consumer the center of the healthcare system and empowering them has been favorable. According to a survey conducted on 13,000 users, it was revealed that 28% changed their providers based on data made available online – implying that patients wish to be a part of the decision making.
A substantial number of digital health startups have emerged, and their revenue in 2015 was over $4.5 billion – and continues to grow.

Health IT developments to look ahead

Although Donald Trump has his healthcare plan for the country under the covers, some significant advancements are coming our way and following is a slice of what’s coming:

Value-Based Care: One of the most important thing Trump has asserted on in his plan is that he wants to ensure that “no one slips through the cracks simply because they cannot afford insurance.” With U.S. healthcare accounting for 17.1% of the entire nation’s GDP, it’s important to back this transition towards value-based care.

Advancements in Interoperability: In ONC’s latest report to Congress, interoperability was tagged as an essential priority. There are still a lot of factors getting in the way of free flow of data between providers, topped with the inability on patients’ part to access their medical information freely. There are many initiatives on the block: the Sequoia Project’s Care Quality programs, the development of FHIR standards that will be backed by Trump and will pan out impressively.

Banking on Digitization: In sustaining the momentum of this transformation, digitization would be the cornerstone. The use of data analytics, machine learning, patient-centered technology developments and the Internet of Things will unleash their forces under Trump administration and fuel further developments and investments.

Changing the Dynamics of the Marketplace: Donald Trump plans to allow insurance companies to sell their plans across the state lines which may result in an increase in competition and making their plans value-focused. Allowing a free market for drug import could also prove critical in reducing the cost of healthcare: he said in one of his speeches that Medicare could save as much as $300 billion every year, if drug prices were negotiated.

Future Implications

Health IT will stay because the need is to continue to work on making healthcare industry interoperable. Major value-focused programs on healthcare by federal government, such as MACRA won’t see significant changes. However, there is a possibility that the Quality Payment Program could be “enhanced.”

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