MEDIA ADVISORY

ANN ARBOR—As technical problems continue to plague the website HealthCare.gov and federal leaders testify this week before key congressional committees about what went wrong, University of Michigan experts are available to offer insights into the management and policy implications of the effort to enroll millions in the Affordable Care Act.

Julia Adler-Milstein, assistant professor at the School of Information and the School of Public Health, can address policy implications of the HealthCare.gov glitches and resulting response by lawmakers. Adler-Milstein’s research focuses on policy and management issues related to the use of IT in health care delivery. Her expertise is in health information exchange and she has conducted several national surveys of health information organizations. Recent research addressed the productivity and efficiency of electronic health records. Contact her at [email protected] or (734) 615-7435.

Helen Levy, research associate professor at the Ford School of Public Policy, School of Public Health and Institute for Social Research, is an expert on the causes and consequences of lacking health insurance, evaluation of public health insurance programs and the role of health literacy in explaining disparities in health outcomes. Contact her at [email protected].

Charles Friedman, professor in the Department of Health Management and Policy at the School of Public Health, works with informatics solutions to health crises and innovating with the new technologies. He is the former deputy national coordinator for health information technology at the U.S. Department of Health and Human Services. He leads a nationwide movement toward development of a “learning health system” that supports research, public health and quality improvement. He can be reached at [email protected].

Kai Zheng is an associate professor in the Department of Health Management and Policy at the School of Public Health and the School of Information. His research draws upon techniques from the fields of information systems research and human-computer interaction to study the use of information, communication and decision technologies in patient-care delivery and management. He can be reached at [email protected].