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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 Christopher Chute Lab involves the management of clinical data to enable effective evidence-based clinical practice and translational research. Recently, we developed an EHR-based genetic testing knowledge base to be integrated into the genetic testing ontology (GTO) and identified potential barriers to pharmacogenomics clinical decision support (CDS) implementation.
Fawaz Al Ammary Lab
Dr. Al Ammary’s research focuses on (1) increasing live kidney donation safely to ensure optimal outcomes for donors and (2) advancing utilization of digital health technology and electronic health records to impact the precision and value of health care for live kidney donors and kidney transplant recipients.
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.