Douglas Colquhoun, M.B Ch.B., M.P.H., an assistant professor of anesthesiology, has been awarded a five-year, $834,000 K08 Mentored Clinical Scientist Research Career Development Award from the National Heart, Blood and Lung Institute (NHLBI). The project, “Data Driven Approaches to Improving Risk Prediction of Pulmonary Complications After Major Inpatient Surgery,” will draw on expertise and infrastructure at the University of Michigan to improve our understanding of a leading cause of major morbidity and mortality after surgery.
Utilizing data from the MPOG (Multicenter Perioperative Outcomes Group) database, the project will use the wealth of electronic medical record derived data describing contemporary practice in more than 50 institutions throughout the United States. From this, Colquhoun will seek to understand who is at risk of developing these complications and what factors related to anesthesia care may be associated with them.
In addition to improving our understanding of these complications, the award will allow Colquhoun to further his skills and learn to apply contemporary data science methods. This project aims to deliver on the promise of using big data to inform everyday decisions and identify paths of care in the perioperative period, which results in reduced patient risk and improved outcomes.
“I am honored to receive this training award. There is a critical need to improve our understanding and learn how to prevent postoperative pulmonary complications," Colquhoun said. "The world-class expertise and infrastructure within the Department of Anesthesiology and across the University of Michigan make this the ideal setting to pursue this work.”
Colquhoun is supported by a team of mentors and advisors, led by Sachin Kheterpal, M.D., professor of anesthesiology. These advisors are drawn from across campus, including from Departments of Learning Health Sciences, Surgery, and Internal Medicine within the Medical School and the Electrical Engineering and Computer Science within the College of Engineering.