Healthy Data

Michael Della Villa, CIO of MVP Health Care, discusses clinical data, interoperability, and how payers can best serve their members.

Michael B. Marchant discusses how UC Davis Health streamlined physician access to genomic data reports and what it means for patient care.

Life sciences veteran Matthew Stannard describes how the industry can leverage data and analytics to identify clinical trial participants and get drugs to market more efficiently.

Joe Lichtenberg and Larry Tabb discuss how banks can leverage technology and healthy data to succeed amid volatile markets.

Dr. James Reed, a psychiatrist and chief clinical information officer, reveals how mental health data sharing is transforming patient care in the U.K.

We explore how organizations can leverage predictive analytics and the combination claims and clinical data to improve patient care with Jason Buckner, of Manifest MedEx.

Jay Nakashima, executive director of the eHealth Exchange, describes how interoperability and health IT efforts are bolstering the response to the coronavirus pandemic.

Across healthcare, access to data is increasing exponentially and bringing new opportunities for stakeholders throughout the industry. But it’s important to understand that when it comes to data, availability is not quite as important as usefulness.

As the coronavirus pandemic tightens economic activity and strains hospitals in many countries, actionable data holds promise to reduce the impact. We spoke with Don

Woodlock, head of the HealthShare business unit at InterSystems, before COVID-19 emerged, but his insights into data’s role in improving the healthcare system have only grown more important.

Healthcare is seeing a shift toward so-called “clean data,” which is more useful in helping generate effective insight, Woodlock says. Late last year, he caught up with InterSystems organization’s partners, including health systems, health information exchanges (HIE) and payer organizations, to understand their approaches. Across that

spectrum, capturing clean data was a critical mission objective.

So here’s the big question: how do these forward-thinking organizations plan to achieve that goal? In this episode of InterSystems PULSEcast, Woodlock spotlights the answers and examines how critical healthcare change-makers like health systems, HIEs and payers are fitting data into forms that are helpful to doctors, data analysts and other key players. He also explores the opportunities inherent in following the clean data trend, and how enterprising organizations can prepare to act upon the insights that are sure to follow.

At the heart of nearly every health IT project is the patient, and that’s where Lygeia Ricciardi’s heart is, too. As Chief Transformation Officer of the digital health startup Carium and a former leader at the Office of the National Coordinator for Health Information Technology (ONC), Ricciardi brings a deep understanding of patient needs, which can get lost in the

shuffle—especially as the healthcare industry grows more complex each day.

Ricciardi’s experience has also helped her understand that increasing complexity means healthcare organizations and developers face new challenges in building apps that resonate with and serve their patient population’s best interests. What’s really missing from those apps

today? Empathy and connection, Ricciardi says.

There are tons of great apps that help patients accomplish practical feats like counting calories. But a real sense of connection and support for these patients’ underlying motivations—like getting to a healthy weight or improving their diabetes, for example—should be a key focus for health system leaders and developers as they kickoff new projects.

Tune into this episode of InterSystems PULSEcast to learn how to measure and meet patient needs, overcome the cultural, financial and privacy challenges that stand between you and your next successful app, and direct your assets and resources appropriately to ensure you’re putting forth your best effort to engage your patient population with human-centered design.

Jeff Fried is passionate about helping people create data-driven applications that empower their decision-making. It’s this very passion that drives Fried, director of product management at InterSystems and a self-proclaimed data management nerd, to encourage the enterprise- level operationalization of data — a process that strictly defines variables into measurable factors. Operationalization defines fuzzy concepts (of which there are many in the tip-of-the-spear world of data analytics) and allows them to be measured empirically and quantitatively.

Keep in mind that data operationalization isn’t new and shouldn’t be feared. Industries like banking and retail are long-time beneficiaries of so-called “data opps.” Healthcare, on the other hand, has been slower to the draw. But that doesn’t mean it’s too late. In fact, in an industry where data operationalization isn’t yet widespread, those who take action now stand to gain solid footing on which to better serve their patient populations and serious competitive advantage.

What exactly are those advantages? Tune in to this episode of InterSystems PULSEcast to find out. Along the way, Fried will help you discover how to put pragmatic plans in place that smooth operations and bring direct business benefit to your organization through data operationalization.