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Displaying 21 to 25 of 25 results for patient safety

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  • Sanjay Desai Lab

    Research in the Sanjay Desai Lab focuses primarily on clinical outcomes in survivors of critical illnesses, such as acute lung injury. We also investigate techniques to improve graduate medical education and are conducting a clinical trial on the comparative effectiveness of models that optimize patient safety and resident education. Our research examines factors such as residency work-hour reform, hand hygiene practices and the use of etiquette-based communication.

    Research Areas: medical education, critical care medicine, lung disease

    Principal Investigator

    Sanjay Desai, M.D.

    Department

    Medicine

  • Sean Berenholtz Lab

    Work in the Sean Berenholtz Lab focuses on patient safety, ICU care, quality health care and evidence-based medicine. Two notable and successful projects include the National On The Cusp: Stop BSI project, which was implemented in 47 states with the goal of eliminating bloodstream infections, and the Agency for Healthcare Research and Quality (AHRQ)-funded Keystone ICU project, which improved communication and teamwork and reduced hospital-acquired infections in more than 100 ICUs in Michigan. One recent study focused on ventilator-associated pneumonia (VAP), one of the most common type of health care-associated infections in the ICU. Existing VAP prevention intervention bundles vary widely on the interventions, but our research team described a structured approach for developing a new VAP prevention bundle.

    Research Areas: patient safety, quality improvement, infections, ICU, evidence-based medicine, quality of care

  • Suchi Saria Lab

    The Suchi Saria Lab, part of the Institute for Computational Medicine, explores topics within the fields of machine learning and computational statistics, with a focus on computational solutions for problems in health informatics. Our team investigates the applications of machine learning and computational statistics to domains where one has to draw inferences from observing a complex, real-world system evolve over time. We use Bayesian and probabilistic graphical modeling approaches to address the challenges that emerge with modeling and prediction in real-world temporal systems.

    Research Areas: mobile health, machine learning, patient safety, informatics, big data

    Principal Investigator

    Suchi Saria, M.Sc., Ph.D.

    Department

    Health Sciences Informatics

  • Sydney Dy Lab

    The Sydney Dy Lab has conducted extensive research on quality of care, patient safety and decision-making, with a focus on patients with cancer and other serious and terminal diseases. Our team seeks to improve health systems and services to optimize the use of technology and medication, particularly in end-of-life health care policy. Our research approach includes primary and quantitative data collection, quality measurement improvement, systematic literature reviews and analysis of secondary database.

    Research Areas: patient safety, palliative care, cancer, health care policy, pain, quality of care

    Lab Website

    Principal Investigator

    Sydney Dy, M.D.

    Department

    Medicine

  • Todd Dorman Lab

    Research conducted in the Todd Dorman Lab examines the use of informatics in intensive care settings as it relates to remote patient monitoring, safety and management strategies. Specific areas of interest include the surgical stress response; aminoglycoside antibiotics; fungal infections; renal failure; pharmacokinetic models of drug administration; and ICU triage and its impact on disaster preparedness.

    Research Areas: fungal infections, patient safety, informatics, disaster preparedness, aminoglycoside antibiotics, surgical stress response, ICU, patient monitoring

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