Research Seminar: Ira Hofer
February 8, 2024 @ 11:00 am - 12:00 pm PST
Dr. Ira Hofer | Department of Anethesiology and Medicine; Icahn School of Medicine at Mount Sinai
Dr. Ira Hofer Biography:
Ira S. Hofer, MD is a practicing anesthesiologist and clinical informaticist at The Icahn School of Medicine at Mount Sinai. Dr. Hofer has been working in the field of big data analytics and electronic health record (EHR) data for over 15 years. He has had a variety of roles at multiple hospital systems building and deploying AI models and overseeing analytics for system wide and departmental programs. He currently holds joint appointments in Anesthesiology, Medicine and the Charles Bronfman Institute for Personalized Medicine and is the inaugural director of the Rapid Randomized Trial Unit in the CBIM which is focused on deploying AI models into clinical care using study designs to measure efficacy.
Dr. Hofer’s research interests involve leveraging the data from the EHR to understand, quantify and ultimately mitigate risk in the perioperative period. His work includes some of the first papers to apply machine learning techniques for perioperative outcome prediction and has been featured on the cover of both Anesthesiology and Anesthesia&Analgesia. Ira has a K01 from the National Heart Lung and Blood institute, and funding from the NIA funded IMPACT Collaboratory for a pragmatic trial to reduce postoperative delirium using an AI driven decision support model. He also serves as an associate editor for Anesthesia & Analgesia. His current research focus is on creating featurization techniques to incorporate a wide range of EHR data into machine learning models in order to improve discrimination and calibration as well as establishing multi-center perioperative collaboratives to better share raw and processed EHR data.
In addition to his academic accomplishments, Dr. Hofer is the Founder and President of Extrico Health based on technology he developed. The Extrico Software Platform has been successfully deployed at major hospitals around the nation and helps providers turn the raw data from their electronic health record into actionable insights to improve patient care, increase operational efficiencies and optimize the revenue cycle.