Case Study: A Forensic Look at Success and Failure of Predictive Analytics in Healthcare
A recent study suggested that Predictive Analytics will be used by 50% of Health Provider Organizations by 2016. Although this is great validation for the transformative potential of Predictive Analytics, very little is known about why particular Predictive Analytics projects might succeed or fail in healthcare. Our team has been in the Predictive Analytics trenches for several years now. We have come away with some interesting observations about the human response to analysis results, especially when they do not support long held beliefs and how this effects organizational change. This discussion also focuses on Predictive Analytics best practices, team skills, and a review of what it takes to build a sustainable Predictive Analytics program inside a healthcare organization.
Eugene Kolker is Chief Data Officer at Seattle Children’s which consists of the Hospital, Research Institute and Foundation. Dr. Kolker has over 25 years of experience in multi-disciplinary data analysis, predictive analytics and algorithm development. At the Hospital network, Dr. Kolker and his team of data scientists provide analysis services aimed at improving care and reducing costs. With nearly 60 subspecialties and inpatient, outpatient, emergency, and multiple other services, Seattle Children’s is consistently ranked among the nation’s best children’s hospitals. In addition to Dr. Kolker’s work at the Hospital, he also has active research at the Research Institute, ranked among top five in the US. His projects are supported by the National Science Foundation, the National Institutes of Health, the Robert B. McMillen Foundation, the Gordon and Betty Moore Foundation, and Seattle Children’s Research Institute.
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