Better Health Care Through Big Data
“Big Data” is often used to describe new ways to look at information to create better outcomes. For example, using “Big Data” to better understand how patients are responding to new therapies, or to detect safety signals in large post-approval patient populations. However using large scale data inputs and analyses can also lead to better day-to-day processes. That may initially sound a lot less sexy, but actually, when you think about how basic processes and procedures in healthcare and life sciences affect real world outcomes at tremendous scales, thinking about using Big Data as a process improvement tool becomes incredibly exciting. This is exactly how we look at some of Medidata's Insights offerings, and Dr. Harlan Krumholz gave an amazing example about how this approach affected hospital operations during a Big Data panel at last year's Forbes Healthcare Conference.
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