Predictive Analytics World for Healthcare 2015

Organization: Predictive Analytics World for Business

Venue: seaport world trade center boston s

Location: Boston, Massachusetts, United States

Event Date/Time: Sep 28, 2015 / 9:00 am - (EST) End Date/Time: Oct 01, 2015 / 5:00 pm - (EST)
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Predictive Analytics World Healthcare Conference, Sept 28-Oct 1, 2015, in Boston, 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.

Predictive Analytics World Healthcare is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote speakers:  Michael F. Dulin, M.D., Ph.D., Chief Clinical Officer for Analytics and Outcomes Research, Dickson Advanced Analytics Group, Carolinas HealthCare System; and Jay Bhatt, M.D., MPH, Chief Health Officer, Illinois Hospital Association; plus a special plenary session from industry heavy-weight Dr. John Elder, CEO & Founder, Elder Research, Inc. 

The PAW Healthcare program will feature sessions and case studies across Healthcare l Business Operations and Clinical applications so you can witness how predictive analytics is employed at leading enterprises and resulting in improved outcomes, lower costs, and higher patient satisfaction.

PAW Healthcare's agenda will cover hot topics and advanced methods, and applications such as Claims Analytics, Clinical Modeling, 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.

Objectives of the Conference:

Showcase the features and advantages of deploying Predictive Analytics and Big Data techniques within the healthcare community;

Exchange ideas and communicate awareness of techniques, tools, and resources which enable the healthcare industry to jumpstart adoption of Predictive Analytics and Big Data.

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.

VENDORS. Meet the vendors and learn about their solutions, software and service. Discover the best predictive analytics vendors available to serve your needs - learn what they do and see how they compare

GET STARTED. If you're new to predictive analytics, kicking off a new initiative, or exploring new ways to position it at your organization, there's no better place to get your bearings than Predictive Analytics World. See what other companies are doing, witness vendor demos, participate in discussions with the experts, network with your colleagues and weigh your options!

Registration:  Register by June 26, 2015 and save over $600. 

Bring the Team Offer:  Each additional attendee from the same company, registered at the same time, receives an extra $200 off the All Access, Two Day or Combo Passes.  [Discounts may not be combined.]

For inquiries e-mail or call 1-717-798-3495.


Predictive Analytics World Boston – Sept 27-Oct 1, 2015

Predictive Analytics World for Healthcare – Sept 27-Oct 1,

Predictive Analytics Times Executive Breakfast Boston – Sept 29, 2015

Predictive Analytics World for Government – Oct 13-16, 2015

Predictive Analytics World London – Oct 28-29, 2015

Predictive Analytics World Berlin – Nov 3-4, 2015

PAW Videos: Available on-demand


200 Seaport Boulevard
United States


Predictive Analytics World for Business