Complimentary from the publishers of Predictive Modeling News                September, 2015
	"I think that the greatest myth is the idea that if we just had more (or different) data we would be able to make predictions that are orders of magnitude better. Unfortunately, this belief makes users dismissive of our current models (which, I admit, are not as accurate as we would like them to be). There is a strong belief that access to clinical data will improve predictions, a belief that is probably correct. However, trying to separate ‘signal’ from ‘noise’ in clinical data is not easy. (My UK clinical dataset with 800,000 lives has 15 million hypertension observations and even more lipid observations). Without the equivalent of the claims-based clinical grouper models, trying to make sense of this data is no easy task. And heaven help us when we start to look for the predictive needle in the Fitbit haystack.” -  Ian Duncan FSA FIA FCIA MAAA, Adjunct Professor of Actuarial Statistics, University of California Santa Barbara
	"Even though we have 95% EMR coverage today, only 5% to 10% is really interoperable." Excerpted from: Predictive Modeling News, Volume 9, September 2015, "Expert Discusses Evolving Data Types for Use in PM, PH Management"
	Automated analytics can fill in for data scientists: But…(!) HealthData Management, August 29, 2015
	Xerox buying RSA Medical, ramps up predictive analytics business Healthcare Finance News, August 25, 2015
	How CMS stepped up its payment fraud detection GCN, August 20, 2015
	Leveraging predictive analytics to manage the certainty of constant change Becker's Hospital Review, August 18, 2015
	Humana Using Analytics to Improve Health Outcomes Enterprise Apps Today, August 14, 2015
	Predictive analytics tool for readmissions boasts record results Healthcare IT News, August 14, 2015
	PREDICTIVE MODEL IDENTIFIES PATIENTS WHO MIGHT GO INTO SEPTIC SHOCK Popular Science, August 5, 2015
	DIVING IN:NAVIGATING A DATA LAKE FOR PREDICTIVE CARE EMC Corporation, August, 2015
	Competitive Strategies in the Population Health Analytics Market by Ken Perez Expert Discusses Evolving Data Types for Use in PM, PH Management Thought Leaders’ Corner: “What myths are out there in predictive modeling that you’d like to dispel -- whether in regard to capabilities, barriers or otherwise?" Industry News with briefs regarding Mount Sinai Hospital; Inovalon; Synapse Biomedical and Origent Data Sciences; PopHealthCare; and Medalogix Catching Up With… Anton Berisha MD 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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