Predictive Modeling Bulletin
  Complimentary from the publishers of Predictive Modeling News                March, 2016  
   
  Growing a Health System with Market Intelligence: Improved Decision Making for Transitioning to Value-Based Networks
 
  Sponsor Message  
Quote
  “Using predictive analytics, we can identify members who are likely to be non-adherent with their medication regimens. The predictive models that include risk factors beyond the traditional variables (i.e., age, gender, disease prevalence, prescribed medications) and include medical events, disease progression, socioeconomic factors and the member’s use of mail order versus retail for his or her medications increase the strength of the predictive model. In addition to including more refined risk factors, classification models (e.g., clustering, support vector machine) also open the door for improved analytics.”
- Swati Abbott, Chief Executive Officer, Blue Health Intelligence.
 
Factoid
  "In fact, automation can lead to cost reduction of 30% or more with a typical implementation time of three months, according to NelsonHall, a healthcare industry outsourcing analyst firm." 

Excerpted from: Predictive Modeling News, Volume 9 Number Number 3, March 2016, "Seven Steps to Making Your RPA Investment Work"

 
What's News
  A Practical Approach to Controlling the Cost of Health Care
Leavitt Group, February 29, 2016
 
     
  What is the Relationship Between Precision Medicine & Predictive Analytics?
HIT Consultant, February 22, 2016
 
     
Bosses Harness Big Data to Predict Which Workers Might Get Sick
Nasdaq, February 16, 2016
     
  Predicting the Economic Impact of Changes to Population Health
The Evidence Base, USC Schaeffer Center, February 16, 2016
 
     
  Big Data Analytics to Bring Billions in Healthcare Market Growth
Health IT Analytics, February 12, 2016
 
     
  Race against time: Can analytics intervene in patient care?
Health Data Management, February 12, 2016
 
     
  Delivering on the Promise of Healthcare Analytics: Troubleshooting, Intelligent Design and Predictive Modeling
Electronic Health Reporter, February 11, 2016
 
     
This Month in Predictive Modeling News
 
  • 'Classic' Analytics Projects Thrive
  • Analytics Increasingly Applied to Specific Tasks
  • Seven Steps to Making Your RPA Investment Work by Anand Natampalli MBA, Vice President, Global Business Development, HG
  • Do or Die: Life Lessons for the Auto Industry (and Takeaways for Others) by Merilee Kern
  • Thought Leaders Corner: "Do any interesting predictive analytics developments come to mind for improving medication adherence?”
  • Industry News with briefs regarding Hindsait; SCIO Health Analytics; Rulex; Spreemo; ZirMed; Research and Markets; Clear Health Analytics; Welltok
  • Predictably Quotable
  • Click here to view page one of this issue
  • Click here to subscribe to Predictive Modeling News, or find out more

Subscribe Now

 
 
     
  Follow Health Policy Publishing:   Healthcare Innovation News LinkedIn Group    mcol on twitter  
     
About the Bullletin
 
Subscribe to the Bulletin | About Predictive Modeling News | Promotional Opportunities
 
Predictive Modeling Bulletin, a publication of Health Policy Publishing LLC
1101 Standiford Avenue, Suite C-3, Modesto, CA 95350
(v) 209.577.4888 | (f) 209.577.3557 | (e) info@predictivemodelingnews.com
© 2016, Health Policy Publishing LLC