Navigating healthcare’s vast data troves via machine learning
Health systems transitioning to value-based payment models have to make sense of the reams of clinical and financial data they collect each day.It’s a large and complex data set—but also a highly valuable one. Buried within it are the answers to a multitude of questions that vex doctors and administrators: How can we shorten length of stay after colon surgery? Why are we seeing so many insurance denials? What is a cardiac patient’s risk of having another heart attack?Ayasdi, a technology company based in Menlo Park, Calif., relies on machine learning and machine intelligence to tackle vast, multidimensional data warehouses. Its technology can find patterns in unorganized data sets that less-sophisticated algorithms are likely to miss.“It’s really the complexity where we rise to the top,” said Dr. Francis Campion, the…
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