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Duke Health Leaders Build the Predictive Analytics Foundations to Improve Patient Care

Shared by Radhika Narayanan | 0 0 0 | about 2 months ago

Across the country, leading health systems are building the data architectures that are necessary to leverage business intelligence tools and analytics for effective population health and proactive disease prevention. At the Durham, N.C.-based Duke University Health System, health IT leaders are moving forward on many fronts to leverage data analytics to improve patient care, such as early sepsis detection.Its a very exciting time in healthcare, as more and more people understand and appreciate the power of analytics. We are certainly going beyond the traditional flavors of business intelligence with pre-defined reports, which of course will have its place, and migrating to using predictive modeling and machine learning to figure out how to tailor care for both individual patients and populations of patients, says Eric Poon, M.D., chief health information officer at Duke University Health System. Poon also is a professor of medicine at Duke University School of Medicine and he practices general internal medicine at Durham Medical Center, part of Duke Primary Care. Poon also earned a Masters in Public Health from Harvard University.

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