Predictive Modeling Bulletin
  Complimentary from the publishers of Predictive Modeling News            March, 2017  
 
   
 

Verscend Technologies drives better healthcare outcomes through data analytics.

Verscend Technologies, Inc.

  FEATURED CONTENT  
Predictive Modeling Video
 
 


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3M Webinar: Predictions About Predictive Analytics: From Telescope to Microscope

3M’s Herb Fillmore, Senior Director of Population health and Strategic Innovation, discusses the future of
“big data” in healthcare and predictive analytics. Learn how predictive analytics provide insights to make informed, timely decisions to improve future outcomes.

 
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Daniel Barlow: Four Ways Healthcare Machine Learning Can Be Used to Improve Sepsis Outcomes

1 . Early recognition
2.  Predicting complications, deterioration, or need for escalation of care while in the hospital
3.  Click to continue

Source: healthcare.ai/Data Science Blog, February 27, 2017.

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This Month in Predictive Modeling News
 
  • Analytics Applied to Sepsis, Other Conditions Unlocks New Treatment Options
  • Journals Examine Analytics in Medication Adherence, Mortality Prediction
  • Home Care Analytics Tested Twice in Recent Studies
  • Thought Leaders’ Corner: “In what aspects of value-based care is predictive analytics already making an impact? And what are some aspects in which predictive analytics has not yet significantly been deployed?”
  • Industry News with briefs regarding; viihealth; Hubdata; Frost & Sullivan; Milliman; SCIO Health Analytics; Regenstrief Institute; Health Catalyst; ZirMed
  • Catching up with... Bob Monteverdi DPM
  • Click here to view page one of this issue
  • Click here to subscribe to Predictive Modeling News, or find out more

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About the Bullletin
  Predictive Modeling Bulletin is a complimentary publication issued periodically from the Health Policy Publishing, LLC, the publisher of Predictive Modeling News (www.predictivemodelingnews.com) Your friends and colleagues can subscribe to Predictive Modeling Bulletin at no charge by visiting: http://www.predictivemodelingnews.com/resources.html