Colin Roy Cooke MD

Clinical Lecturer, Internal Medicine
Specialties: 
Pulmonary Diseases, Internal Medicine
Clinical Interests:

Critical care

Locations

U of M Pulmonary

1500 E Medical Center Dr SPC 5256
Ann Arbor
MI
48109
Phone:
734-936-4000
Fax:
734-763-4585

Credentials

Medical School or Training

  • Ohio State University College of Medicine, 2000

Residency

  • University of Washington School of Medicine, Internal Medicine, WA, 2004

Fellowship

  • Pulmonary & Critical Care Medicine, University of Washington School of Medicine, 2009

Board Certification

  • Critical Care Medicine

  • Internal Medicine

  • Pulmonary Disease

Research

My research seeks to understand how healthcare policy, the healthcare system, and individual patient characteristics impact the quality, efficiency and outcomes of care delivered to patients in the intensive care unit.

Biography

After graduating from the University of Michigan College of Engineering and the Ohio State University College of Medicine, Dr. Cooke completed his internal medicine training and pulmonary & critical care fellowship at the University of Washington in 2007. During his fellowship he earned a Masters of Epidemiology from the University of Washington School of Public Health.

Dr. Cooke joined the U-M Medical School in 2009 as a Robert Wood Johnson Foundation Clinical Scholar; he completed a Masters of Health and Healthcare Research from the University of Michigan's Rackham Graduate School. Dr. Cooke's research program seeks to understand how healthcarepolicy, the healthcaresystem, and individual patient characteristics impact the quality and efficiency of care delivered to patients in the intensive care unit. This work involves a number of broad interests and includes: (1) characterizing the drivers of variation in the use, quality, and costs of critical care services, with a specific focus on regional and organizational contributors, and (2) understanding and removing racial, socioeconomic, and health insurance based disparities in critical care. Methodologically, this work employs the traditional tools of health services research including analysis of both clinical and administrative databases, outcome prediction, multi-level modeling, and causal analysis.

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