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Consumer Lifestyle and Behavioral Analytics: Leveraging Supplemental Data for Risk Intervention and More 
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The combination of lifestyle and behavioral based data and medical data creates a far more detailed overall picture of an individual's health risk, and can help establish a targeted intervention and action plan. Stakeholders are potentially missing a large number of our targets by evaluating medical data alone.

This combination of data illustrates a growing opportunity, and challenge, for the health care industry and how it gets in front of chronic diseases. The Centers for Disease Control estimates that lifestyle-based chronic illnesses account for more than 75 percent of annual U.S. medical care costs. Evidence suggests that preventive measures to improve lifestyle activity and behavior before the onset of serious illness could prevent approximately 33 percent of all U.S. deaths each year. That comes to about 800,000 lives lost annually because of unhealthy or poor lifestyle choices.

With so much at stake, interest from healthcare organizations in leveraging analytics as a powerful predictive and treatment tool is growing. Using non-traditional, non-medical data to help map courses of treatment for vulnerable populations before they become ill is an idea whose time is coming, if slowly, to the health care industry.

Of course, there are legitimate concerns about wide dissemination of an individual's medical history and lifestyle preferences. Still, if the industry is to meet rising demand for more effective health care services, develop innovative products and treatments, and achieve significant cost savings, the need is apparent to be able to balance the constructive use of lifestyle and behavioral data and analytics to slow certain chronic illnesses in their tracks, against making sure that data is not misused. When these interests and incentives are aligned, lifestyle and behavioral analytics could become a central strategy in building new business models.

Please Join Deloitte Consulting's Chris Stehno on Tuesday, October 13th, 2015 from 1PM until 2PM Eastern, during this HealthcareWebSummit event as he discusses Consumer Lifestyle and Behavioral Analytics: Leveraging Supplemental Data for Risk Intervention and More.
Learning Objectives
Participants will be able to:
  1. Identify what constitutes supplemental data and where it comes from
  2. Examine what hobbies & shopping patterns gleaned from lifestyle and consumer data can reveal about purchasing behaviors, customer retention and even health risks
  3. Consider how to use surveys to fill in claims data gaps
  4. Understand what to look for when sifting through state and federal data sources
  5. Find out how to incorporate geospatial data, and what locational and geographical data and census track information can reveal
  6. Incorporate social media and EMR data as supplemental data sources
  7. Explore using supplemental data for risk-based market segmentation
  8. Learn how the various supplemental data sources and related issues can be integrated into an overall analytics strategy
  9. Engage in interactive learning through online question submission, attendee feedback and opportunity for follow-up questions, and networking with attendees, faculty and other professionals through a dedicated LinkedIn group.
Who Should Attend
Interested attendees would include:
  • C-Suite Executives
  • Analytics and Informatics Executives and Staff
  • Actuarial and Underwriting Executives and Staff
  • Predictive Modeling Executives and Staff
  • Statisticians and Data Analysts
  • Medical Directors
  • Care Management Executives
  • Planning and Strategic Executives and Staff
  • Innovation and Transformation Executives
  • Business and Market Intelligence Staff
  • Privacy Officer and Staff
  • Health Care Economists
  • Other Interested Parties

Attendees would represent organizations including:

  • Health Plans
  • Hospital Systems
  • Accountable Care Organizations
  • Provider Networks
  • Medical Groups
  • Care Management Organizations
  • Government
  • Third Party Administrators
  • Employers
  • Pharmaceutical Organizations
  • PBMs
  • Consulting Organizations
  • Business Processing Organizations
  • Solutions Providers
  • Associations, Institutes and Research Organizations
  • Media
  • Other Interested Parties
Consumer Lifestyle and Behavioral Analytics: Leveraging Supplemental Data for Risk Intervention and More 
  Individual Registration Fee: $195. Post-event materials, with video syncing slides and recorded audio, plus presentation pdf file: $45 for attendees; $260 for non-attendees after the event. Register online or download the event brochure. Attendees will also receive a complimentary trial three-month subscription to Predictive Modeling News.

Package Registration: $295. Register for this event, and the October 7th event, Best Practices for Mining Big Data: Legal, Regulatory and Ethical Considerations, and receive a package registration price of $295 for both events combined - with a savings of $95 (about 25%).

Register Now   Corporate Site licensing also available. Click here to register or call 209.577.4888 We look forward to your participation in this event!
Chris Stehno

Chris Stehno
Deloitte Consulting


Chris Stehno is a director with Deloitte Consulting LLP and has more than 15 years of experience working with major insurance and health care organizations. Chris specializes in predictive modeling and the use of alternative datasets and their business implications and applications in the life insurance and health care industries.

His work includes the use of data mining and predictive modeling applications to enhance underwriting decisions and new business processes, to identify individuals for disease management and wellness initiatives, to enhance risk-based sales, marketing and retention efforts, to optimize distribution strategies, to develop customer-lifetime value, and to establish cost-reduction applications through advanced analytical analysis.


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