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Michael Faron

“I'm passionate about making predictive analytics accessible. Oftentimes, people tense up when you start using phrases like data science and sequence analysis. My goal is to humanize data analytics. What better way than through technology like ours that is having a tremendous human impact.” As director of data science at Medalogix, Michael builds and maintains our machine learning solutions that help our customers better manage their patient populations. Michael also leverages analytics to evaluate our products and support company-wide business intelligence inquiries. Michael brings nearly 20 years of experience designing, building and managing data systems to the Medalogix team. In his previous role as lead data scientist at a healthcare technology company, Michael applied analysis techniques such as classification, clustering, sequence analysis, propensity scoring and statistical simulations to unearth value from hospital bedside monitoring systems data. Michael’s educational background includes extensive work at the graduate level in statistics and machine learning, including degrees in actuarial science, philosophy and education. Michael most recently completed a graduate certificate in advanced analytics from Oklahoma State University and a Ph.D. in candidate, measurement and statistics from Arizona State University. Michael is a certified SAS Predictive Modeler, placed in a national competition hosted by SAS for his work on predicting hospital admissions. Additionally, the SAS Global Forum and Yale University's Global Health and Innovation Conference featured Michael’s papers in a poster presentation. Favorite spot in Nashville: Gabby's Burgers & Fries

Recent Posts

How Doctors Die: Sparking Conversations About End-Of-Life Care

Posted by Michael Faron on September 17, 2015

Michael Faron, our Director of Data Science, reflects on a recent NPR feature.

Looking at our data, I know most hospice-eligible patients aren’t identified early. I truly believe in our technology at Medalogix and I know we can help physicians have End-of-Life discussions sooner so their patients can make the best-informed decisions.

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Topics: Healthcare Industry, News & Press

Abstract: Hospice Analytics Technology Helps Reduce Early Death On Hospice By 30%

Posted by Michael Faron on March 18, 2015

The Impact of Medalogix Bridge on Early Mortality for Hospice Patients

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Topics: Data and Analytics Review


Recent Posts