Sharon Hewner

Hewner is a specialist in informatics and health outcomes research, with expertise in the Medicare and Medicaid population. Her research focuses on transitions from the acute hospital to the community with emphasis on how health information technology can improve care to the population with chronic disease and support decision making in the primary care setting. Hewner has developed a COMPLEXedex hierarchical algorithm which divides the population into healthy, at-risk, chronic, and complex cohorts based on nine prevalent chronic diseases.

Previous work has focused on comparing eldercare practice and female post-reproductive frailty in traditional (Amish, rural and urban China, Philippine highland) and contemporary cultures.