Diabetes and congestive heart failure are the leading clinical conditions targeted by healthcare data analytics programs, according to the 2016 Healthcare Benchmarks: Data Analytics & Integration. The survey also examined seven other clinical conditions for which data analytics programs seek to identify patients.
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2016 Healthcare Benchmarks: Data Analytics and Integration examines the goals, data types, collection processes, program elements, challenges and successes shared by healthcare organizations responding to the January 2016 Data Analytics survey by the Healthcare Intelligence Network.
This 40-page report assembles hundreds of metrics on data analytics and integration from hospitals, health plans, physician practices and other responding organizations, charting the impact of data analytics on population health management, health outcomes, utilization and cost.
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This chart is sponsored by: Reducing Readmissions and Avoidable Emergency Department Visits Through a Connected Care Management Strategy, a 45-minute webinar on August 2, 2016, at 1:30 pm Eastern
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© 2016 Healthcare Performance Benchmarks by Healthcare Intelligence Network.
Editor: Patricia Surdovel, firstname.lastname@example.org;
Publisher: Melanie Matthews, email@example.com