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Casey Overby Lab
Research in the Casey Overby Lab focuses on the intersection of public health genomics and biomedical informatics. We’re currently developing applications to support the translation of genomic research to clinical and population-based health care settings. We’re also working to develop knowledge-based ways to use big data — including electronic health records — to improve population health.
Work in the Graham Mooney Lab focuses on the history of public health interventions as well as the impact of public health policies on population health outcomes. Our research includes topics such as the history of public health in the United Kingdom and United States during the 19th and 20th centuries, and the historical geographies of health and medicine. We also explore infectious disease surveillance and control and historical epidemiology and demography.
Hadi Kharrazi Lab
Research in the Hadi Kharrazi Lab focuses primarily on contextualizing clinical decision support (CDS) into population health informatics (PHI) to be used at different HIT levels of managed care, including electronic health records (EHRs) and consumer health informatics (CHI) solutions. Our team has modified and regenerated electronic quality measures (eQM) based on PHI-derived CDS to represent a population aspect of the health quality measurements. Through the Center for Population Health IT (CPHIT) at the Bloomberg School of Public Health, we are pursuing PHI research that provides direct population-based CDS to providers, patients and payers.