Jonathan M Tan, MD, MPH, MBI, FASA
Jonathan M. Tan, MD, MPH, MBI, FASA, is the Interim Vice Chair for Analytics and Clinical Effectiveness, Department of Anesthesiology Critical Care Medicine and an Assistant Professor of Anesthesiology Critical Care Medicine at the Children’s Hospital Los Angeles and the Keck School of Medicine at the University of Southern California. In addition, Dr. Tan serves on the faculty of the USC's Population, Health and Place Ph.D Program as part of the Spatial Sciences Institute. Dr. Tan is board certified in Anesthesiology, Pediatric Anesthesiology, Clinical Informatics, and Medical Quality.
Dr. Tan completed his undergraduate education and received his bachelor's degrees in both Health and Society, and Biology at the University of Rochester. He subsequently earned his MPH from Yale University at the School of Epidemiology and Public Health, where he focused on health care policy and administration. Dr. Tan completed his medical school education at the SUNY Stony Brook School of Medicine and his residency training in Anesthesiology at the SUNY Stony Brook School of Medicine. He went on to complete his fellowship in Pediatric Anesthesiology at the Children’s Hospital of Pittsburgh. Following his clinical training, he was awarded the Joseph E. Robert Jr. Fellowship in Pediatric Innovation at the Sheikh Zayed Institute for Pediatric Surgical Innovation at the Children’s National Health System in Washington, DC. Dr. Tan then moved to the Children's Hospital of Philadelphia and the University of Pennsylvania as an Assistant Professor in the Department of Anesthesiology and Critical Care Medicine and the Department of Biomedical and Health Informatics. During this time, Dr. Tan was appointed as a Senior Fellow at both the Leonard Davis Institute for Health Economics, and at the Center for Public Health Initiatives at the University of Pennsylvania. He completed his Master's in Biomedical Informatics at the Oregon Health and Science University School of Medicine.
Dr. Tan’s research focuses on developing data linkage techniques from electronic health records, census, environmental exposure, and business intelligence data to understand the impact of location and social determinants of health on children. Through the use of spatial analysis, Dr. Tan is improving the way we risk stratify, communicate and care for pediatric patients.
Pediatric Anesthesiology, Pediatric Regional Anesthesia, Ultrasound Guided Vascular Access
Education
SUNY Stony Brook School of Medicine
MPH, Yale University School of Epidemiology and Public Health
MBI (Biomedical Informatics), Oregon Health and Sciences University School of Medicine
Stony Brook University Medical Center, Stony Brook, NY
Resident and Chief Resident, Department of Anesthesiology, Stony Brook University Medical Center
Pediatric Anesthesiology, Department of Anesthesiology, Children's Hospital of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, PA
The Joseph E. Robert Jr. Fellowship in Pediatric Surgical Innovation, Children's National Health System, Washington, DC.
Accomplishments
Board certified in Anesthesiology, Pediatric Anesthesiology and Clinical Informatics
Certified in Medical Quality
American Society of Anesthesiologists
Society for Pediatric Anesthesia
Society for Technology in Anesthesia
Anesthesia Patient Safety Foundation
American Association of Geographers
International Anesthesia Research Society
Gold Foundation for Humanism in Medicine Honor Society
United University Professions Community Service Award
Stony Brook HOME (Health Outreach and Medical Education) Distinguished Student Service Award
Joseph E. Marcy MD Memorial Fellow Award for Clinical Excellence
Society for Technology in Anesthesia Engineering Challenge Winning Team
ICARE Champion Award
COVID-19 Rapid Response Award from the Leonard Davis Institute of Health Economics at the University of Pennsylvania
Research
Spatial Analytics: Studying the impact of location and social determinants of health on the pediatric peri-operative experience
Clinical Informatics and Pediatric Patient Safety
Cost-Effectiveness and Decision Modeling in Medicine