Complimentary from the publishers of Predictive Modeling News                December, 2014
	“For 2015, I am most excited by predictive modeling that incorporates multiple data sources -- particularly those with consumer profiles and insights. I think healthcare has a lot of catching up to do around understanding individual behavior and correlating it to healthcare decisions. We should see significant advances in our understanding of consumer healthcare behavior and ability to predict which types of outreach and interventions are most likely to engage which patients/members.” - Adam Kaufman, PhD, CEO & President, DPS Health
	"At the time of authorization, Blue Cross and Blue Shield of North Carolina (BCBSNC) predicts the potential for readmission. High-risk patients are assigned to nurse case managers, who work with the patient and care team to develop discharge plans. The model correctly beat chance in identifying at-risk patients by 400%." Excerpted from: Predictive Modeling News, Volume 7 Number 12, December 2014, "Part II: Case Studies: Blue Cross and Blue Shield of North Carolina Uses SAS to Predict Patients at High Risk of Readmission"
	mHealth, Predictive Analytics, Big Data to Take Off in 2015 Health IT Analytics, December 1, 2014
	Why More Employers Are Using Data Analytics To Improve Healthcare Benefits Forbes/Castlight, November 17, 2014
	Predictive Analytics And Business Intelligence: What Every Provider Needs In Its Labor Management Arsenal Health IT Outcomes, November 10, 2014
	Providers see benefits of predictive analytics for complex patients Modern Healthcare, November 7, 2014
	For providers, analytics pave the way for value-based care Health Care Conversation Blog/Optum, November 5, 2014
	Kaiser CMIO: Predictive analytics will drive healthier lives Healthcare IT News, November 3, 2014
	Product, Service Providers Take the Stage for Our 5th Annual Vendor Issue Part I: PM Industry Vendor Company Profiles of Allazo Health; Lumiata; Medalogix; Milliman; Pacific Market Research; SAS; The Modeling Agency and Verisk Health Part II: Case Studies- Blue Cross and Blue Shield of North Carolina Uses SAS to Predict Patients at High Risk of Readmission; AllazoHealth Survey Results Examine Predicting Patient Non-Compliance Part III: Predictive Modeling Industry Commentary by Elliott Wood, COO, Medalogix Thought Leaders’ Corner: “What predictive modeling trend excites you the most for 2015?’” Industry News with briefs regarding Healthesystems; Cardinal Health; SAP; Healthline and Seno 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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