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Displaying 11 to 20 of 22 results for patient safety

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  • John Ulatowski Lab

    Research in the John Ulatowski Lab explores the regulatory mechanisms of oxygen delivery to the brain and cerebral blood flow. Our work includes developing and applying new techniques and therapies for stroke as well as non-invasive techniques for monitoring brain function, fluid management and sedation in brain injury patients. We also examine the use of novel oxygen carriers in blood. We’ve recently begun exploring new methods for perioperative and periprocedural care that would help to optimize patient safety in the future.

    Research Areas: cerebrovascular, brain, stroke, oxygen, blood

  • Jon Russell Lab

    The Jon Russell lab focuses on thyroid and parathyroid pathology as well as improving patient safety and education using healthcare technology. Additional focuses include utilizing new technology to advance on the techniques of minimally invasive neck surgery. Current and previous efforts include the development of mobile and web-based applications to educate physicians and patients, utilizing ultrasound for vocal cord imaging, understanding the nuances of advanced thyroid cancer, and exploring the role of scarless thyroid surgery in a North American population.

    Research Areas: patient satisfaction, thyroid cancer, perioperative information delivery, health outcomes, otolaryngology, postoperative care, endocrinology

  • Lynette Mark Lab

    The Lynette Mark Lab primarily studies topics within the field of anesthesiology. Our team also researches various aspects of patient safety, including best practices for patient safety reporting systems.

    Research Areas: patient safety, anesthesia

  • Michael A. Rosen Lab

    Research in the Michael A. Rosen Lab primarily focuses on patient safety and simulation-based health care training and technology. Recent work provided examples of how human factors experts can collaborate with health care professionals and simulationists (experts in the design and implementation of simulation) to use contemporary simulation to improve health care delivery. Another recent study examined the anesthesia practice at two tertiary care hospitals in Sierra Leone, West Africa, where anesthesia is associated with high mortality rates. We identified gaps in the application of internationally recommended anesthesia practices at both hospitals, likely caused by lack of available resources.

    Research Areas: simulations, patient safety, quality improvement, anesthesia, quality of care

  • Nestoras Mathioudakis Lab

    The Nestoras Mathioudakis Lab focuses on improving patient safety and quality for hospitalized diabetes patients. Our interests include inpatient glucose management, type 2 diabetes mellitus and diabetic foot ulcers.

    Research Areas: glucose management, health care quality, safety, diabetes, diabetic foot ulcers

    Lab Website

    Principal Investigator

    Nestoras Mathioudakis, M.D., M.H.S.

    Department

    Medicine

  • Nicole Shilkofski Lab

    Work in the Nicole Shilkofski Lab aims to improve patient safety in critical care settings, with a focus on resuscitation scenarios. Our research is conducted as part of the research group of the Johns Hopkins Medical Simulation Center. We investigate the communication and functionality of teams during medical crisis situations. As part of those efforts, we are designing a web-based curriculum to teach pediatric resuscitation through mannequin simulation and computer-based simulation techniques.

    Research Areas: critical care medicine, simulations, patient safety, quality improvement, educational technology

  • Rahul Koka Lab

    Research in the Rahul Koka Lab focuses on pediatric airways, patient safety and health disparities. Recent studies have focused on the relationship between socioeconomic status and perioperative outcomes and patient safety factors related to interoperative cardiac arrests. We also performed effects analyses of the maintenance and repair of anesthetic equipment in various medical environments.

    Research Areas: airway diseases, patient safety, pediatrics, health disparities

  • 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