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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.
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.
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.
Work in the Myles Leslie Lab examines the factors that influence front-line health care delivery by exploring the policy, institutional, professional and technological contexts of health care systems. Our team works to identify the cultural factors that affect the transfer of quality and safety interventions from one facility to another. We also examine how culture impacts the front-line implementation of policymakers’ intentions. We're currently part of a multisite project that studies patients and family involvement in intensive care delivery.
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Research interests in the Spyridon Marinopoulos Lab include evidence-based medicine. Recently, we examined the impact of health information technology (IT) that supports patient-centered care (PCC) and found substantial evidence that health IT applications with PCC-related components have a positive effect on health care outcomes.
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