States have a variety of metrics and data sources that potentially can be used to assess and improve population health outcomes. In order to maximize this potential, states need effective strategies to collect, analyze, integrate, and use data from various sources, and to share it across multiple agencies and health care organizations for activities that drive improvement for all populations.
This webinar features an overview of state opportunities to identify and use data from a variety of sources to examine subpopulations, identify needs, and target interventions to address the needs of distinct populations. The webinar also features a discussion among three states that have taken innovative approaches to using data to drive meaningful changes in health outcomes for various subpopulations with critical needs. Maryland discusses applications of its health information exchange (the Chesapeake Regional Information System for our Patients – CRISP) to identify issues and areas of focus, Ohio describes partnership between Medicaid, managed care plans, and public health agencies to use data to address infant mortality and improve perinatal care quality, and Louisiana highlights how it uses various data sources to create new quality and pay for performance metrics with the goal of improving birth outcomes. Following the panel discussion webinar participants will have an opportunity to ask questions of the presenters.
- Moderator: Sherry Glied, PhD, MA, Dean and Professor of Public Service, New York University’s Robert F. Wagner Graduate School of Public Service
- Mary Applegate, MD, MD, FAAP, FACP, Medicaid Medical Director, Ohio Department of Medicaid
- Rebekah Gee, MD, MPH, MSHPR, FACOG, Medicaid Medical Director, Louisiana; Assistant Professor, Louisiana State University Schools of Public Health and Medicine
- Laura Herrera, MD, MPH, Deputy Secretary of Public Health, Maryland Department of Health and Mental Hygiene