Bigger wins!

Predictive Analytics World Healthcare, October 6-7, 2014 in Boston, is packed with the top predictive analytics experts, practitioners, authors and healthcare thought leaders, including keynote speakers:

Plus a special plenary session from industry heavy-weight: Dr. John Elder CEO & Founder Elder Research, Inc. The Peril of Vast Search (and How Target Shuffling Can Save Science)

 

---

Predictive Analytics World for Healthcare focuses on real-world examples of deployed predictive analytics. Attend and witness today's rapidly emerging movement to fortify healthcare with big data's biggest win: the power to predict. The premier cross-vendor networking event, this conference assembles the industry's leaders to deliver case studies and expertise, revealing how predictive analytics improves patient care, reduces costs and brings greater efficiencies to the healthcare industry. Click here to view the agenda-at-a-glance.

The PAW Healthcare program features more than 25 sessions and case studies across 2 tracks: 1) Hospital Business Operations and 2) Clinical so you can witness how predictive analytics is applied at leading enterprises such as:

PAW Healthcare's agenda covers hot topics and advanced methods and applications such as Claims Analytics, Clinical Modeling - CHF, Cluster Analysis, Data Governance, Deploying Risk Models, Disease Modeling, Healthcare Informatics, Marketing Analytics, Predicting Insurance Costs, Personalized What-if Analysis, Predicting Disease and Infection, Resource Optimization, Readmission Risk, Reducing Incorrect Payments, Risk Scoring, Targeted Care Management, and other innovative applications that benefit organizations in new and creative ways.

Join PAW and access the best keynotes, sessions, workshops, exposition, expert panel, live demos, networking coffee breaks, reception, birds-of-a-feather lunches, brand-name enterprise leaders, and industry heavyweights in the business.

If you'd like our informative event updates, sign up here

For inquiries e-mail

You will need JavaScript enabled in order to view this e-mail

or call (717) 798-3495.