Complimentary from the publishers of Predictive Modeling News           September 4, 2012
	"In general, predictive analytics have been most suited for and most successful in addressing single-organ diseases. This is not unlike clinical medicine in general, where monitoring and driving higher-quality, lower-cost care is simpler (although not simple) when addressing organ-specific chronic conditions. Thus, analytics can be powerful in improving quality and resource efficiency in the care of congestive heart failure patients and those suffering from pneumonia; however, such tools find a greater challenging in driving clinical utility and value for diseases such as diabetes and morbid obesity.” Peter Edelstein MD, Chief Medical Officer, Elsevier/MEDai
	When asked what type of analytical functions their organizations primarily use 23.6% of health care organizations said predictive modeling. Excerpted from Data and Analytics Key to Health Reform, but Challenges Stand in Way, iHealthBeat, August 15, 2012
	Hospitals Seek Analytics Tools In Rush To Meet Mandates InformationWeek, August 22, 2012
	Future of data analytics is predictive, actionable FierceHealthIT, August 16, 2012
	GNS Healthcare to Develop Big Data Computer Model for Huntington's Disease eWeek, August 15, 2012
	Data and Analytics Key to Health Reform, but Challenges Stand in Way iHealthBeat, August 15, 2012
	Building a Foundation Today for Analytics Tomorrow: Health IT Thoughts From IBM Becker's Hospital Review, August 08, 2012
	Obama Administration Cracks Down on Fraud Via Predictive Modeling Chinese Community Health Plan Uses DST Health Solutions’ Integrated Care Management Suite SAP Unveils New Analytics Innovations Thought Leader’s Corner: “What specific chronic conditions have you found the most suited, or most productive, for predictive analytics? And what conditions have you found to be the most problematic?” Industry News with briefs regarding Optum, Piramal Healthcare, and Bioseek Catching Up With ...Peter Edelstein MD Click here to view page one of this issue Click here to subscribe to Medical Home News, or find out more
	There's no cost to participate in the Predictive Modeling News LinkedIn Group where you can Network, exchange information, and follow current developments with other professionals interested in predictive modeling. You can sign up now at: http://www.linkedin.com/groups?gid=1669467
	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