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Displaying 1 to 4 of 4 results for population health

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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.

    Research Areas: public health, genomics, electronic health records, bioinformatics

    Principal Investigator

    Casey Taylor, Ph.D.

    Department

    Medicine

  • Graham Mooney Lab

    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.

    Research Areas: epidemiology, infectious disease, public health, history of medicine

    Lab Website

    Principal Investigator

    Graham Mooney, Ph.D.

    Department

    History of Medicine

  • 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.

    Research Areas: informatics, electronic health records, quality of care

  • Neuro-Oncology Surgical Outcomes Laboratory

    Directed by Debraj “Raj” Mukherjee, MD, MPH, the laboratory focuses on improving access to care, reducing disparities, maximizing surgical outcomes, and optimizing quality of life for patients with brain and skull base tumors.



    The laboratory achieves these aims by creating and analyzing institutional and national databases, developing and validating novel patient-centered quality of life instruments, leveraging machine learning and artificial intelligence platforms to risk-stratify vulnerable patient populations, and designing novel surgical trials to push the boundaries of neurosurgical innovation.



    Our research also investigates novel approaches to improve neurosurgical medical education including studying the utility of video-based surgical coaching and the design of new operative instrumentation.

    Research Areas: medical education, surgical outcomes, neurosurgery, machine learning, access to care, surgical coaching, population health, quality of life, public health, artificial intelligence, oncology, disparities

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