Health care is, belatedly, launching into an information revolution. In a handful of states, all-payer claims databases (APCDs) gather data on the medical services and supplies used by all the citizens. For the first time, it is possible to pinpoint not only the changing incidence of diseases, but how they vary by patients’ locale, ethnicity and socioeconomic status, among other factors. The Big Data power of APCDs reveal differences in practice patterns across the community and whether those differences result in better quality, lower cost, or neither. For consumers, enhanced reporting of the outcomes of treatment options, the quality of doctors and hospitals, and the actual cost of care will result in more control and self-direction than ever before possible.
We will discuss the results of APCDs so far, and explore their potential and implications in the short and long term.
Principal at Freedman HealthCare, John Freedman has 20 years’ experience in systems management, managed care, health care quality measurement and quality improvement, physician profiling, clinical laboratory development, health economics, and medical informatics. His experience comes from leadership roles at nationally recognized organizations, such as Kaiser Permanente, Tufts Health Plan, MA Health Quality Partners, Focused Medical Analytics, and the MA Quality and Cost Council. While at Tufts Health Plan, Dr. Freedman helped them climb to a #2 National Committee for Quality Assurance ranking with market-leading efforts in MD profiling, pay for performance (P4P), tiered network products, public reporting, disease management and innovative member outreach programs. He received a 2004 Innovator’s Award from America’s Health Insurance Plans for the creation of Navigator, a value-based tiered network insurance product. Dr. Freedman attended Harvard College and the University of Pennsylvania School of Medicine.
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