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Using Big Data to Understand High Costs in Healthcare

Buried deep within large datasets are answers to long-standing questions about healthcare in the United States: Why is it so expensive? Why do prices vary so widely across the country?
When Zack Cooper, PhD, arrived at Yale as assistant professor of public health and economics, he gained access to a first-of-its-kind dataset. Working with the non-profit Health Care Cost Institute, Dr Cooper and colleagues at Carnegie Mellon University and the London School of Economics gathered insurance claims data from 3 of the nation’s largest private health insurers.

Buried deep within the large dataset are answers to long-standing questions about healthcare in the United States: Why is it so expensive? Why do prices vary so widely across the country? And what, if anything, can stop costs from rising further? While answers to these questions are still being analyzed, YaleNews spoke to Dr Cooper about his work and its potential impact on the healthcare market.

Read more at YaleNews: http://bit.ly/19qp8Za

 
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