Lecture: “Using machine learning to understand physician decision making”

NIDUS-CEDARTREE Visiting Professor Lecture

 “Using machine learning to understand physician decision making”

Ziad Obermeyer, MD, MPhil

Assistant Professor of Emergency Medicine, Brigham and Women’s Hospital

Assistant Professor of Health Care Policy, Harvard Medical School

Friday, May 11 2018, 9:00-10:00 AM

HSL Synagogue

Hebrew SeniorLife, 3^rd Floor

1200 Centre Street, Roslindale

 Ziad Obermeyer is an Assistant Professor at Harvard Medical School and a practicing emergency physician at Brigham & Women’s Hospital in Boston, Massachusetts. He is a faculty affiliate of the Harvard Institute for Quantitative Social Science and Ariadne Labs at the Harvard School of Public Health. His research combines insights from clinical medicine with methods from biostatistics, computer science, and econometrics, to translate large observational datasets into meaningful inference at the patient level. Two of his major areas of work are) 1. A study of unexpected death after medical encounters, drawing on electronic health record data from a large provider network, vital statistics from Social Security, and national Medicare claims, and 2) A set of linked projects on emergency care in developing countries. He is the lead investigator for the Acute Care Development Consortium, an international network of researchers collecting primary data and synthesizing literature on the delivery of emergency care and the demand for emergency services.

Light refreshments will be served in the Daniels Art Gallery starting at 8:30 am.

Please contact Kristen Erickson (kristenerickson@hsl.harvard.edu, 617-971-5414) with questions

*Please feel free to share with any other colleagues who may be interested*