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  • Shift to value-based care gets boost from analytics, population health

    It's rare when controlling hospital costs and providing quality patient healthcare meet in harmony without sacrificing one for the other. A healthcare concept called value-based care may hold the key to uniting these two somewhat polar opposites. In the face of crippling Medicare and Medicaid increases, the shift to value-based care is gaining greater support from hospitals and the federal government. And patients could be the ultimate benefactor since provider reimbursements are based on improving the health of patients in hospitals, outpatient clinics or at home.

    In November's Pulse, our editor's letter explains that value-based care is as much analytical as it is medical. Along those lines, our cover story examines the inroads value-based care is making on the shoulders of data analytics tools and population health management software. We bring to light some healthcare organizations that are committed to value-based models of care, while others are gradually transitioning from traditional volume-based fee-for-service reimbursements. In another feature, we look at the increasingly critical role data scientists play in analyzing patient trends that can lead to improved outcomes and better quality of care. Likewise, medical staff trained in informatics and IT can potentially fill the role of a data scientist.

    Also in this issue, learn how providers using data analytics can successfully shift to value-based care by measuring key patient indicators and reducing hospital readmissions and health complications.

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  • Transition to value-based care supported by data analytics

    As hospitals begin to make the shift to a value-based care model, healthcare data analytics can detect patients with the highest risks and identify disease trends. Continue Reading

  • APIs and the cloud help cure health IT interoperability ills

    In the natural course of human events, it's safe to say most people have endured an untold number of doctor's appointments, emergency room visits and hospital stays. Each time, patient information is recorded, stored and updated in electronic health records, or EHRs. But due to the lack of health IT interoperability, this accumulated wealth of health data that's vital to patient care may not be fully accessible because EHRs can't always communicate with each other and other platforms that doctors and nurses access regularly.

    The interoperability app gap, however, is being addressed more aggressively by the healthcare industry, partly because of pressure from government regulators and health IT interoperability standards. Our cover story examines application technologies in the form of APIs that are commonly used in many industries, but not nearly as much in healthcare -- until now. Even though hospitals depend heavily on legacy systems for much of their information exchange, APIs can significantly improve EHR interoperability. In another feature, we look at those on-premises healthcare systems and explain how EHR interoperability might benefit more from cloud-based systems.

    Also in this issue, discover how hospital administrators are turning to big data analytics to transform vast amounts of collected patient information into actionable insights that can help improve patient care, safety and operations.

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