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Tips for reading Big Data results correctly

Tips for reading Big Data results correctly

September 29, 2016

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MIT healthcare economist Joseph Doyle spends his time measuring the returns on healthcare spending and outcomes with the goals of identifying value and waste in the $3 trillion U.S. healthcare system along with helping to create a higher-quality, more cost-effective approach to healthcare. And data drives Doyle’s empirical, evidence-based approach for answers.

One area Doyle has been studying is whether hospitals that spend more money on healthcare achieve greater outcomes. The answer is not a simple one to uncover, said Doyle, Erwin H. Schell professor of management and professor of applied economics at the MIT Sloan School of Management.

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