BIG DATA & HEALTHCARE ANALYTICS: A HIMSS EVENT

June 13-14, 2018 | San Francisco, CA

In-House Predictive Modeling

June 13, 2018
11:35am - 11:55am
Grand Ballroom

So many in healthcare rely upon others for their predictive modeling needs. These "cookie-cutter" approaches are often only slightly better than the flip of a coin. Creating your own models, using your own data, is not as difficult as you may think. This session will discuss how to do just that and, what’s more, how to operationalize your predictive models to address readmissions, length-of-stay, and other key pain points.

Key takeaways:

  • The benefits of bringing predictive modeling in-house.
  • How to create your own predictive models.
  • How to operationalize the results of your predictive models.
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Speakers

Michael
Johnson
Data Scientist
St. Charles Health System

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