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Healthy Data

Author: InterSystems

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Healthy Data, a podcast series by InterSystems, features conversations with thought leaders in healthcare. Each episode presents new insight into the latest innovations, use cases, and challenges in the intersecting space between healthcare and data.
64 Episodes
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Kevin Smith, AVP Digital Engagement at Baptist Health Kentucky, discusses Compliance in Digital Healthcare Marketing
Sara Meinke, Sr. Director Enterprise IT Ambulatory Network Innovation at Baptist Health, Jacksonville, discusses the KLAS Patient Voice Collaborative
Keith Halman, Associate Vice Chancellor and Chief Information Officer at Texas Tech University System, discusses innovation and growth in a decentralized health system.
Dr. Dave Rich, CMIO at West Virginia University Health System, discusses local healthcare and integration technologies.
Doug Burkott, Sr. Director, IS Business Operations, discusses how Baptist Health Jacksonville applied a business-driven structure to IT governance.
Dr. Mark Weisman, CIO and CMIO of TidalHealth, discusses transparency in clinical quality and outcome metrics.
Dr. Jeff Linder, Chief of the Division of General Internal Medicine at Northwestern University Feinberg School of Medicine, discusses how technology and telehealth can be used to reduce overprescribing of antibiotics.
Healthcare data exchange is due for a major change. And no, this one doesn’t stem from COVID-19.   For some time now, health IT teams from across the industry have been busy preparing for the ONC and CMS interoperability rules to go into effect, which is set for early 2021. The regulations will require payers to provide patients with reliable access to provider directories, control over their health data, and the ability to transfer that information to new payers.   But is simply meeting the mandate enough?   Not if you ask Michael Della Villa, the chief information officer and head of shared services for MVP Health Care, a New York-based health plan that serves 700,000 members. On this episode of Healthy Data, a podcast series by InterSystems, we speak with Michael, who describes the steps his organization has taken to build a data strategy that both satisfies the interoperability rules and cements new benefits for members. The goal is simple enough: empower patients to make the right decisions, receive high-quality care, and achieve the best outcomes.   Here are some important takeaways from our discussion.   ·      Data is the lifeblood of any organization, whether you’re in healthcare, finance, or manufacturing. ·      While all healthcare stakeholders must meet their obligations set forth in the new interoperability rules, payers that exceed expectations surrounding clinical data will position their stakeholders to reap bigger benefits. ·      When a new challenge arises, there’s no sense in doing things the same way you always have.   Clinical data is critical to MVP Health Care’s approach to interoperability. The organization believes its efforts stand to enhance quality reporting, provider network engagement, risk adjustment, and more. And by creating a 360-degree view of each member, MVP Health Care plans to help them optimize their decision-making.   Because as healthcare data sharing evolves, doing just enough to get by is no longer enough.   So, join us and Michael on today’s episode of Healthy Data to learn how you can not only satisfy the mandate, but also ensure better care for your members when they need it most. Learn how InterSystems can help you achieve healthy data today.
It’s nearly impossible to determine the amount of valuable data that healthcare’s many stakeholders are sitting on, unaware of how to make it accessible and actionable. That’s the task of healthcare technology leaders: identifying and freeing data, one project at a time. But, as UC Davis Health’s Michael B. Marchant can attest, overcoming that challenge is worth every bit of effort.   As the organization’s director of health information exchange and system integration, he was charged with streamlining how physicians access genomic data reports, which provide detailed insights that enable better care decisions for patients with cancer and other complex conditions. After much thought, Marchant and his team decided that the best course of action was to link genomic data reporting to the electronic health record (EHR) system, in a searchable format. If this information lived in patient charts, it could unlock a greater level of personalized medicine.   For this episode of Healthy Data, a podcast series by InterSystems, we spoke with Marchant to learn how UC Davis Health executed this vision, why the initiative matters, and its implications for the future. Here are a few high-impact takeaways:   ·      Seamless data exchange enables doctors to access critical insights without leaving the EHR. That has eliminated the burden of hunting down clunky records, meaning physicians more likely to find and use genomic data reports. ·      By linking the EHR to a clinical trials database, technology empowers physicians to connect patients to innovative care, depending on their specific needs. ·      Timely genomic data reporting, bolstered by notifications, means stronger, more personalized care.   When we spoke with Marchant, the coronavirus pandemic was only beginning its devastating march through U.S. hospitals. Since then, he and his team have raced to support UC Davis Health’s expanded telemedicine efforts, 5,000 staff members who began working remotely, and more than 100 technology changes required to enable COVID-19 screening, treatment, and reporting.   Despite their rapid-fire response to the crisis of our time, Marchant and his colleagues have continued to steer quicker and more accessible genomic data reporting across the organization. Today on Healthy Data, we cover their innovative approach—and what the rest of us can learn. Learn how InterSystems can help you achieve healthy data today.
Have you ever bumped into the same obstacle—maybe a sharp edge or a rise in the floor—over and over again? That’s precisely what life sciences organizations have done for years when it comes to how they use data. But instead of walking away with a stubbed toe or a headache, this persistent challenge forces pharmaceutical companies to burn more time and resources to get drugs to market. Patients, meanwhile, miss out on potentially life-saving treatments.   Take it from Matthew Stannard, life sciences advisor to InterSystems. After 20 years in all corners of the life sciences space, he understands the challenges and opportunities facing drug makers. This week on Healthy Data, a podcast series by InterSystems, we speak with Matt to learn more about how life sciences organizations can leverage data, analytics, and artificial intelligence to improve their operations.   Here are a few key points from the conversation.   ·      Clinical trials are facing a classic case of “two ships passing in the night.” Life sciences stakeholders can’t find participants to meet enrollment goals, even as they overlook patients who need the drug in question. ·      Disparate data silos are, at least in part, to blame. Access to data from many electronic health records, retrospectively and in real time, and real-world evidence can help solve life sciences’ data challenges. ·      The benefits of embracing data and technology are clear: Patients survive, and life sciences companies thrive. It’s all thanks to access and efficiency.   And COVID-19 has only exacerbated efforts to connect patients with clinical trials, Matt notes. The pandemic has disrupted operations within hospitals and life sciences organizations, leaving a major backlog that threatens further delays for critical drugs.    If the need for life sciences to get creative with data was urgent before, it’s essential now. But the good news is that despite decades of data hardship, drug manufacturers have the ability to embrace tools that could usher in a new age of life sciences innovation.   Take the first step on that journey with Matt and us today on Healthy Data, a podcast series by InterSystems. Learn how InterSystems can help you achieve healthy data today.
Volatility has become the standard in stock markets across the world over the past several months. Ever since COVID-19 fired off an economic recession, capital markets firms have fought to stabilize their operations. But one key to success amid explosive markets lies within each organization: data.   This week on Healthy Data, we host a discussion on the need for speed and scale in the financial services sector, with its ever-rising number of transactions. Our guests are Joe Lichtenberg, director of product and industry marketing for InterSystems, and Larry Tabb, founder and research chairman of the research and consulting firm the Tabb Group. Together, they examine how capital markets—and banks’ customers—can benefit from healthy data, now and long into the future.   This conversation occurred prior to the COVID-19 pandemic, but its insights remain critical. Tabb and Lichtenberg, for instance, discuss trends among the world’s top banks, who are racing to implement high-performance data technologies—without the drawbacks of in-memory databases. Multi-level architectures that require banks to stitch together a database and a data grid or data fabric simply won’t cut it. Integration and consistency are key. Losing data is, of course, detrimental to the success of any bank. Lichtenberg and Tabb go on to analyze the trend toward built-in persistence and enterprise-wide data fabrics, with guaranteed consistency.   When banks pin down their strategy to achieve and leverage healthy data, anything is possible. They can implement real-time advanced analytics, unlock efficiencies in the front and middle offices, and execute a successful algorithmic trading program. The benefits of a data-driven future for capital markets are limitless.   But the first step is, as always, data that flows seamlessly and is ready for action.   So, tune in and let us know your thoughts. How is your bank using data to stay ahead of the curve? And where can you improve?   To learn how InterSystems can help you achieve healthy data today, click here.
Why have so many data-sharing efforts excluded mental health data when the disconnect risks patient safety and promotes inefficiencies? The answer could be as simple as this: Mental health data is difficult to collect, standardize, and analyze. But should that notion preclude us from taking the first step toward making it happen, however difficult it may be? Dr. James Reed didn’t think so, so he took action. As a psychiatrist and chief clinical information officer for the Birmingham and Solihull Mental Health NHS Foundation Trust, Reed helped launch an innovative network charged with uniting mental health data from four neighboring trusts in the United Kingdom. The organization—MERIT, or the Mental Health Alliance for Excellence, Resilience, Innovation and Training—has since optimized and improved care delivery, eliminated duplicative processes, and earned buy-in from above and below. On this episode of Healthy Data, we speak with Reed to better understand how sharing mental health data has transformed care in one area and what that could mean for the healthcare industry at large. Keep in mind that we spoke with Reed before the coronavirus pandemic began its spread. Since then, however, the work of MERIT has remained important amid rising concerns about mental health stemming from social isolation and pandemic-induced panic. The data connections described in this episode, it turns out, might be more critical now than ever before. Learn how InterSystems can help you achieve healthy data today.
Value-based care and strong population health programs require a robust combination of claims and clinical data. But healthcare providers and insurers often lack at least one side of the equation.   That’s where Jason Buckner comes in. He’s the technology chief operating officer for Manifest MedEx, California’s nonprofit health data network. The organization teams up with more than 400 healthcare organizations, including 100-plus hospitals and seven health plans, across the Golden State. Manifest MedEx shares records for 20 million Californians and brings formidable tools such as real-time alerts and access to clinical and claims data to its participants.   The success here—the jewel—is how it meshes claims and clinical data and then makes that actionable for members. But Manifest MedEx has also begun incorporating predictive analytics into its game. That’s empowering providers to step in before a health crisis occurs.   In this episode of Healthy Data, a podcast series by InterSystems, we examine the inspiring data work of Manifest MedEx with Jason Buckner and how other organizations can follow its lead.   We spoke with Buckner a few months before the coronavirus pandemic struck, but his insights have only become more relevant. Manifest MedEx has been working with public health departments and officials to identify at-risk populations and monitor trends in healthcare utilization. It’s all about keeping a pulse on hospital and health system capacity—because pandemic or not, the smart use of data and predictive analytics is critical to all of our health.
As the coronavirus pandemic began to take hold of the world, much of the conversation understandably focused on federal and state responses. For most people, the role of health information technology remained hidden behind staggering infection rates and death tolls. But interoperability, it turns out, proved to be critical in coordinating the public health response.   We spoke with Jay Nakashima, executive director of eHealth Exchange, to learn how his organization retooled its focus to respond to the coronavirus pandemic. What we found was noteworthy in several ways:   ·      The health information network connected healthcare provider organizations to public health agencies in a seamless manner that supported a stronger response than would have otherwise been obtainable. ·      The eHealth Exchange launched initiatives that enabled healthcare organizations, physicians, and patients to regain some sense of agency at a time when almost everything seemed out of their control. ·      Interoperability emerged as important in a time of pandemic as it is in times of peace.   But how did the eHealth Exchange, whose data network connects federal and non-federal organizations, wage its coronavirus response campaign? In this episode of InterSystems Healthy Data, Nakashima discusses electronic case reporting, advance care plans and directives, and new take on the Patient Unified Lookup System for Emergencies, better known as PULSE.   Of course, the United States and other nations still have work to do to achieve seamless, comprehensive interoperability. Nakashima also weighs in on how healthcare and technology leaders can advance the cause and why they must, even after COVID-19 enters the history books. 
Jim Heiman, AVP Product Services and Management in the Clinical Digital Solutions at Northwell Health, discusses the Power of a Platform.
Dr. Rebecca G. Mishuris, Chief Medical Information Officer and VP at Mass General Brigham, discusses use cases for generative AI that can aid physicians.
Dr. Cheryl Clark, Executive Director and Senior Vice President of the Massachusetts League of Community Health Center’s Institute for Health Equity Research, Evaluation, and Policy, discusses tech equity and using health data to improve equity.
Dr. Rob T. Adamson PharmD, FASHP, Executive Vice President & Chief Information Officer and Operational Leader for the Epic Electronic Health Record implementation at RWJBaranas Health discusses delegation and employee when converting to Epic.
Marc Paradis, Vice President, Data Strategy at Northwell Holdings discusses the gap between AI data strategy and revenue generation.
Dr. Stacey Johnston, Vice President and Chief Applications Officer at Baptist Health, Jacksonville, discusses Application Rationalization.
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