With the introduction of new technologies year after year, there is a constant buzz about Big Data and how it is changing many industries, including health care. However, the challenge becomes how to take Big Data and translate it into information that can be used in clinical decisions to improve outcomes and increase quality of care. The 3rd Annual Health Care Predictive Analytics Summit brings together hospitals, health systems, and health plans to discuss strategies to efficiently access, share, and analyze data to impact the overall health of consumers.
Hear presentations and case studies, and network with thought leaders to learn and share ideas around using predictive analytics to improve the health of populations, identify gaps in care, segment populations, reduce readmissions, and promote high quality, cost-effective care.
|
|
|
|
|
|
Ian Duncan Fellow of the Society of Actuaries, Adjunct Professor, Dept. of Statistics & Applied Probability
University of California Santa Barbara
|
|
|
|
Aymen Elfiky, MD, MPH, MSc Senior Attending Physician
Dana Farber Cancer Institute, Brigham and Women’s Hospital
Research Associate
MIT Operations Research Center
|
|
|
|
|
Danyal Ibrahim, MD, MPH Chief Data and Analytics Officer, Chief, Toxicology
Saint Francis Hospital and Medical Center
|
|
|
|
|
Matthias Krebs, MBA Director, Insights and Analytics, Marketing and Communications
Novant Health
|
|
|
|
|
|
Chirag Padalia Director, Workforce Strategy and Analytics
Aurora Health Care
|
|
|
|
|
|
|
Omid Shabestari, MD, PhD Director, Health Analytics
Carilion Clinic
Assistant Professor, Health Informatics
University of Toronto, Canada
|
|
|
|
Andrew Sorenson Director, Population Health Analytics and Decision Support Intermountain Healthcare
|
|
|
|
|
|
Terri Steinberg, MD, MBA Chief Health Informatics
Officer, Vice President,
Population Health
Christiana Care
Health System
|
|
|
Testimonial
“An intimate conference with tremendous content and excellent opportunities to network.”
— Monica Tremblay,
Chair, Associate Professor, Info Systems and Business Analytics,
Florida International University
“I enjoyed hearing from other sides of the analytics spectrum. I appreciated hearing how others tackle problems.”
— Teresa Conway, RN, MSN,
Clinical Analyst,
Intermountain Healthcare