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In Professor Ran Balicer’s roles, he is responsible for strategic planning of novel organization-wide interventions for improving healthcare quality, reducing disparities and increasing effectiveness. These include the introduction of innovative data-driven tools into practice – predictive modeling, real-life effectiveness studies, decision support tools and proactive care models. Professor Balicer also serves as a full Professor and Track Director in the MPH program at Ben-Gurion University, Israel. His research is focused on the study of extensive clinical databases in care provision and policymaking, health systems integrated care, and quality management. Professor Balicer serves as Chair of the Israeli Society for Quality in Healthcare and as an Advisor to the Israeli Ministry of Health. He also serves as a Board Member of the International Foundation for Integrated Care (IFIC) and the European Federation of Medical Informatics (EFMI). Professor Balicer serves in senior advisory groups to the World Health Organization (WHO) Regional Office for Europe, and is involved in projects focusing on chronic disease monitoring, prevention and control, as well as healthcare systems redesign.
Data science in combination with new tools help predict which patients will benefit most from health care interventions. Session contributors are representatives from medical organizations discussing various data science applications and their approaches to using data and predictive modeling to analyze and identify meaningful patterns that result in better patient outcomes.