Predictive Modeling Bulletin
  Complimentary from the publishers of Predictive Modeling News               November 2016  
   
  What your data knows that you don’t – eliminating pop health blind spots with socioeconomic data
 
  Sponsor Message  
Quote
  “Always keep the business process in mind. If the results aren’t actionable or relevant, they may not be useful beyond simply providing insight. Also, make sure the results resonate with the business. Include practical impact measures, and not just statistical measures of the models. You need to understand the model well enough to help guide non-quantitatively trained people so they are able to understand it, too.”
Russ Michael, Director of Informatics and Product Management and Analytics, at Blue Health Intelligence, Chicago.
 
Factoid
  "84% of marketing leaders indicated that they intend to increase the role of predictive analytics in marketing over the next 12 months. Our study confirms this prediction is becoming a reality, with 67% of data scientists who work at corporations indicating that the size of their analytic staff has increased in the past year.”

Excerpted from: Predictive Modeling News, olume 9 Number 11, November 2016, "PopHealth Management Programs Use Analytics to Improve Outcome "

 
What's News
  More providers using analytics to reduce readmissions
Health Data Management, October 28, 2016
 
     
  Predictive analytics fuel Johns Hopkins 'command center'
FierceHealthcare, October 28, 2016
 
     
  Nurse Staffing Predictive of Time to Diagnostic Evaluation in the ED
Journal of Emergency Nursing, abstract only, October 20, 2016
 
     
'Big data' could mean big problems for people's healthcare privacy
The Los Angeles Times, October 19, 2016
     
  Case Study: Big data drives improved patient care
Health Data Management, October 14, 2016
 
     
  Use predictive analytics to manage nursing workforce
FierceHealthcare, October 13, 2016
 
     
  Predictor Looks to Reduce Patient No-Shows
Datanami, October 12, 2016
 
     
  Predictive Data Can Reduce Emergency Room Wait Times
Insights by Stanford Business, October 11, 2016
 
     
  UMMC pinpoints ideal patients for remote monitoring with predictive analytics
Healthcare IT News, October 7, 2016
 
     
This Month in Predictive Modeling News
 
  • Data Infrastructure Key to Maximizing Predictive Analytics
  • Rexer Survey Sees Analytics Expanding Scope, Becoming ‘Core’ to Strategies, Decisions
  • PopHealth Management Programs Use Analytics to Improve Outcomes
  • Thought Leaders’ Corner: “How can Blockchain relate to predictive modeling?”
  • Industry News with briefs regarding Influence Health; ePay Healthcare; Connance; Jvion; SPH Analytics; Porter Research; The Institutes Risk & Insurance Knowledge Group; MAP Health Management; Grady Health System; and Health Catalyst.
  • Catching Up With ... Ian Blunt
  • 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