Geraldine Haile specializes in survey design and mixed-methods research and analysis. Her work focuses on quality of care, value-based care, and advancing primary care.
As the Positive Deviance task lead on the Value-Based Care Learning System contract, Haile oversees the identification of high-performing model participants in the Kidney Care Choices and Accountable Care Organization REACH Models, using innovative, mixed-method approaches to pinpoint and disseminate strategies that contribute to high performance. Haile also works on an evaluation of the Guiding an Improved Dementia Experience Model, leading survey activities, including the Beneficiary-Caregiver Dyad Experience Survey and the Care Navigator Survey. Haile previously led the development, administration, and analysis of a physician survey to assess implementation and physician experience in the Comprehensive Primary Care Plus Model. She was also the survey director on an evaluation of the Maryland Total Cost of Care Model, where she led work on a survey of intervention hospitals to explore strategies that they use to change care delivery in response to model incentives. In addition, Haile led qualitative research and analysis for an evaluation of Medicare prior authorization models, which assessed whether prior authorization models for repetitive scheduled nonemergent ambulance transport and nonemergent hyperbaric oxygen therapy reduced utilization of services that are not medically necessary while maintaining or improving quality of care and reducing the high improper payment rate for these services.
Before joining Mathematica in 2015, Haile held positions with Johns Hopkins Bloomberg School of Public Health and CareFirst BlueCross BlueShield, among others. She has a Ph.D. in health services research and health policy and management from the Bloomberg School of Public Health, Johns Hopkins University.