To provide the right health care, we need to understand the presence and importance of assessment of social and economic information that influence a person’s risk for adverse health outcomes and accessibility to needed healthcare services and treatments.
Attendees will learn about new data-driven models that are delivering key insights to help health plans identify members’ non-clinical social risk factors, such as food insecurity and lack of social supports, to support benefit programs designed to meet patients’ non-medical needs.
Christie Teigland, PhD
Principal, Health Economics & Advanced Analytics
Avalere, an Inovalon Company
Christie Teigland, PhD, leads the design and implementation of studies focused on comparative effectiveness, predictive analytics, and performance measure development and testing. With a focus on improving quality in healthcare through data analytics, she provides clients with actionable insight and analysis.
Prior to joining Avalere, Christie was the senior director, Statistical Research, at Inovalon, where she led a team focused on healthcare data analytics. She led several performance measure development projects awarded by the National Committee on Quality Assurance (NCQA), including All-Cause Readmissions and Potentially Avoidable Hospitalizations. Prior to joining Inovalon, she specialized in quality measurement and quality improvement research at Leading Age New York, where she directed the development of innovative technology solutions to advance the use of data-driven decision making to improve outcomes and reduce healthcare costs.
Christie earned a PhD in economics and econometric forecasting from the University at Albany, SUNY, and a BA in management science and economics from Minnesota State University.
Jennifer Sisto Gall, MPH
Senior Manager, Market Access and Business Development, Healthcare
Jennifer has spent 12 years in the healthcare industry at the intersection of business strategy, health policy, and technology. She currently leads Market Access and Business Development for Lyft’s Healthcare business in government markets, focusing on non-emergency medical transportation (NEMT) and transportation as a social determinant of health.
Prior to Lyft, Jennifer worked with Evidation Health to launch digital biomarker research with clients to understand how everyday behavior and health interact. She also worked at Change Healthcare where she led Enterprise Strategy initiatives across the $3B portfolio, focused on software and services for health systems and health plans. She completed a post-graduate Rotational Program with RelayHealth, a division of McKesson, where she drove the go-to-market launch of a clinical and claims data platform with a focus on quality measures. Jennifer started her career as a consultant with Accenture within both the public and private sector Healthcare consulting practices, including with HHS/ONC and CMS on the Healthcare.gov recovery effort.
Jennifer has her Master of Public Health in Health Policy and Management from the University of California, Berkeley School of Public Health. She received her BS from the McKelvey School of Engineering at Washington University in St. Louis in Systems Science and Mathematics, with a second major in Healthcare Management from Olin School of Business.