Complimentary from the publishers of Predictive Modeling News               October 2016
	"With an appropriate dataset, it is certainly possible to build a model to predict the patients at highest risk of missing appointments...... It is possible to identify who is at highest risk; it is another thing to get the patients to the appointments. In some populations (commercial), the stick method may work (charge patients for missed appointments). In other populations, this won’t work, and another (logistical) solution has to be sought. One possibility that seems promising is to send an Uber car to pick up the patient and take him/her to the appointment. As with so many things in predictive analytics, the real challenge is successful implementation." - Ian Duncan FSA FIA FCIA MAAA, Adjunct Professor of Actuarial Statistics, University of California, Santa Barbara
	"Using the predicted FDI score, hospitals are assigned to high, medium-high, medium-low and low risk of financial distress for use by practitioners. The FDI forecasts 8.01% of rural hospitals to be at high risk of financial distress in 2015, 16.3% as mid-high, 46.8% as mid-low and 28.9% as low risk." Excerpted from: Predictive Modeling News, Volume 9 Number 10, October 2016, "Journal Review: Predicting Financial Distress and Closure in Rural Hospitals"
	Health systems use data to predict behavioral health risks Behavioral Healthcare, September 26, 2016
	Penn Medicine’s Michael Draugelis: Predictive Analytics Is Promising Tool U.S. News & World Report, September 23, 2016
	How Machine Learning, Big Data And AI Are Changing Healthcare Forever Forbes, September 23, 2016
	UPMC partners with Cavulus for predictive analytics to expand health plan Healthcare IT News, September 20, 2016
	Longitudinal Patterns of Spending Enhance the Ability to Predict Costly Patients Medical Care, abstract only, September 15, 2016
	Predictive Analytics Saves Oklahoma HMO $10M in Annual Savings HIT Consultants, September 15, 2016
	Lumiata harnesses AI for predictive analytics to make big data analysis manageable MedCity News, September 14, 2016
	Predictive Analytics Used to Help a Large Hospital Group Reduce Readmission Rates Healthcare IT News, September 12, 2016
	Survey: 8 in 10 Hospital Leaders Say Predictive Analytics is Important to Future Health Catalyst Press Release, September 8, 2016
	Studies, Surveys Detail Scope of, New Uses for Analytics Journal Review Maybe We Can Use Analytics to Create New Intelligence by Peter B. Nichol CIO Thought Leaders' Corner: "How can predictive analytics be used to reduce the number of missed appointments for high-risk patients?" Industry News with briefs regarding Medalogix; OSU Center for Health Systems Innovation; Connance; Auditory Implant Initiative; Medtel; Columbia Business School; Binghamton University. Predictably Quotable 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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