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Ian Brown is a Clinical Associate Professor in Emergency Medicine and Pediatrics at Stanford University. His clinical focus encompasses Emergency Medicine, Medical Informatics, Cardiovascular Emergencies, and Disaster Response. Dr. Brown has played a significant role in Stanford Health Care as the Director of Medical Informatics since 2011, where he oversees Informatics Data Analytics. His previous appointments include Assistant Medical Director positions in Emergency Medicine at Stanford School of Medicine and Medical Director for the Call Back Nurse Program in the Emergency Department. With a strong educational background, Dr. Brown is board-certified in Clinical Informatics and Emergency Medicine. He completed his fellowship in Cardiovascular Emergencies at Stanford University and his residency at Johns Hopkins University. In addition to his teaching and clinical roles, Dr. Brown has been involved in various academic appointments and has contributed extensively to the fields of Emergency Medicine and Informatics.
Stanford University • Palo Alto, CA
Teaching and overseeing clinical practices in Emergency Medicine and Pediatrics.
Stanford Health Care • Palo Alto, CA
Leading the Medical Informatics department and overseeing data analytics.
Stanford School of Medicine, Emergency Medicine • Palo Alto, CA
Managing informatics data analytics related to Emergency Medicine.
Stanford School of Medicine, Emergency Medicine • Palo Alto, CA
Assisting in the administration and analytics of informatics in Emergency Medicine.
Stanford School of Medicine, Emergency Medicine • Palo Alto, CA
Supporting Emergency Medicine operations and informatics.
Stanford School of Medicine, Emergency Medicine • Palo Alto, CA
Overseeing the Advanced Practice Provider Fellowship in Emergency Medicine.
Stanford Healthcare, Emergency Department • Palo Alto, CA
Managing the Call Back Nurse Program within the Emergency Department.
Providence Hospital, DC • Washington, DC
Directed the Observation Unit, ensuring quality care in a clinical setting.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.