Insights on Operationalizing Data to Support Accountable Care

A glimpse at the future of predictive analytics in healthcare starts a five-session track of educational sessions on July 14 during the Healthcare Analytics Symposium, sponsored by Health Data Management.


A glimpse at the future of predictive analytics in healthcare starts a five-session track of educational sessions on July 14 during the Healthcare Analytics Symposium, sponsored by Health Data Management.

Thomas Hill, executive director of analytics at Dell and chair of the track, will open with a look at the opportunities and challenges of using predictive and prescriptive analytics, and at how predictive analytics are evolving to support such non-traditional data as lifestyle purchases, pollen counts, disease outbreaks and social media.

Also See: 10 Secrets to Predictive Analytics Success

A set of tutorial sessions follows. Michael Hunt, M.D., CMO and CMIO at St. Vincent’s Health Partners, will walk through taking raw data and operationalizing it to support medical management. Joe Kimura, M.D., deputy chief medical officer at Atrius Health, will discuss building out predictive analytics capabilities without overcommitting funds and resources. And, Wayne Matthews, director of patient centered outcomes research at SIU School of Medicine, will explain elements of effective population management of a Medicaid accountable care organization to improve patient engagement, manage pharmaceutical utilization and reduce readmissions.

The track ends with speaker assessments of key findings from the afternoon’s proceedings. For more information on the conference, click here.

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