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Research Lab Results for health IT

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  • 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
  • Johns Hopkins Medicine Technology Innovation Center (TIC)

    Lab Website
    Principal Investigator:
    Paul Nagy, Ph.D.
    Fisher Center for Environmental Infectious Diseases

    The TIC works with interdisciplinary teams to bring digital health products to life in clinical settings at Johns Hopkins Health System. TIC offers design, development, business, and project management partnership to solve clinical problems that span the range of medical specialties and practice settings. Through community-based events and programs, the TIC also works to train the next wave of digital health innovators and builds start-up teams with the tools to launch commercial products improving patient care at Johns Hopkins and across the industry.

    Research Areas: patient-centered health care, health IT, health care technology, faculty development
  • Jonathan Weiner Lab

    Principal Investigator:
    Jonathan Weiner, D.P.H.
    Dermatology

    The Jonathan Weiner Lab researches the impact of electronic health records (EHRs), e-health and other health information technology (HIT) on populations, integrated delivery systems and public health agencies.

    Research Areas: primary care, health IT, public health, electronic health records, predictive modeling, quality of care
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