The Department of Critical Care Medicine at Queen’s University conducts a wide range of clinical research, both peer reviewed academic studies and industry sponsored clinical trials. The research group is highly collaborative with the Canadian Critical Care Trials Group (CCCTG).
Dr. John Muscedere
Dr. John Muscedere MD, FRCPC is a Professor of Medicine at Queen’s University and an Intensivist at Kingston Health Sciences Centre in Kingston, Ontario Canada. He is the ICU Research Director for the Department of Critical Care Medicine. Dr. Muscedere has extensive experience in clinical research, both in investigator initiated and industry sponsored research. His research focuses on nosocomial infections, systematic reviews and meta-analyses, clinical trials and the impact of frailty on critical care outcomes. He is the Scientific Director for the Networks of Centers of Excellence (NCE) funded Canadian Frailty Network (CFN). CFN is dedicated to improving care for frail elderly Canadians through the generation of new knowledge, knowledge mobilization, development of partnerships and training the next generation of highly qualified personnel. For more information: www.cfn-nce.ca
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Dr. David Maslove
Dr. David Maslove is a Clinician Scientist specializing in Internal medicine and Critical Care Medicine at Kingston Health Sciences Centre. Dr. Maslove’s research focuses on the use of artificial intelligence and machine learning to advance precision critical care. This work uses big data from electronic health records, genome science, and high-frequency physiological waveforms to identify distinct subtypes of critical illness with prognostic and therapeutic implications. Dr. Maslove is the Director of the CONDUIT Lab, which brings together clinicians and data scientists to analyze ICU datasets, and currently contains more than 20 TB of ICU data. Dr. Maslove is the Associate Editor for Data Science at Critical Care Medicine, and is involved in efforts to improve practices in biomedical publishing through the development of guidelines, and research into peer review.
Dr. Gord Boyd
Dr. Gord Boyd is Clinician Scientist at Kingston Health Sciences Centre, practicing both neurology and intensive care medicine. His main research interests focus on the acute and long-term neurological consequences of critical illness, including translational research using proteomic approaches to identify novel serum biomarkers. His clinical research program uses non-invasive techniques such as Near Infrared Spectroscopy (NIRS), to monitor brain function in critically ill patients.
Dr. Stephanie Sibley is an Assistant Professor in the Departments of Emergency Medicine and Critical Care Medicine. Her research interests include new onset atrial fibrillation in critically ill patients where she is developing methods for better quantifying atrial fibrillation burden using electronic monitoring, prevention and treatment strategies and determination of long-term atrial fibrillation outcomes. She is also interested in observational study design.
Dr. Sibley completed medical school at Memorial University and undertook residency training in Emergency Medicine and Critical Care Medicine at Queen's University. She has a Masters of Science in Clinical Epidemiology from Harvard University. She collaborates with critical care and emergency medicine specialists through her involvement with the Canadian Critical Care Trials Group, the Ottawa Hospital Research Group and the European Intensive Care Society.
Google Scholar: https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.com%2Fcitations%3Fhl%3Den%26user%3DrTRxvGQAAAAJ%26gmla%3DAJsN-F460QGQ0zwb4jm7GusKjBsI_qgfc1iqK5kpu29YDBsMJf_r0ADiOHDovnzUG-GD2PY9KAJwlJxb4Sb1IZSTDtUU6RheROi41J7cMBhI5NYwLmTPUFo%26sciund%3D9249140470264623170%26gmla%3DAJsN-F7_LEeyMBgscrLOmaFLKSzwDwe4B8sGS15G_HBu6eRhiAzxQJeD9u98ChxVkXtzlWVMsCliPUI1Hob8D9bGsqFPO6UMGbYNn6BGHzrSI66LqnZS74I%26sciund%3D4623118183800747940&data=02%7C01%7Ccriticalcaremedicine%40queensu.ca%7Cbe9318c1bcf5434a8e4f08d85ff1745b%7Cd61ecb3b38b142d582c4efb2838b925c%7C1%7C0%7C637364837935695755&sdata=Yr%2B15J%2BTKDS6Wp3HagKyIGAIjZCFZTFuQuxo9NZ8NMk%3D&reserved=0