Deadline for Abstract Submission:
20 October 2021 31 October 2021
Deadline for Early-Bird Registration:
20 October 2021 27 October 2021

Speakers

Dr. Brian BATEMAN
Associate Professor of Anaesthesia
Harvard Medical School, Brigham and Women’s Hospital
United States of America


Brian T. Bateman, MD, MSc is Professor and Chair of the Department of Anesthesiology, Perioperative, and Pain Medicine.  

Before coming to Stanford, Dr. Bateman served as the Vice Chair for Faculty Development and Chief of the Division of Obstetric Anesthesia in the Department of Anesthesiology, Perioperative and Pain Medicine at the Brigham and Women’s Hospital/Harvard Medical School and as Co-Director of the Harvard Program on Perinatal and Pediatric Pharmacoepidemiology in the Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital.  

Dr. Bateman’s scholarship focuses on the study of medication safety in pregnancy and on predictors and management of maternal morbidity. To address questions in these areas, Dr. Bateman and collaborators at Harvard helped pioneer the use of advanced epidemiological techniques applied to large, routinely collected healthcare utilization data. This research has been funded by multiple R01 grants from the NIH and by grants from the FDA and has been published in leading clinical journals.


Abstract
Early Warning Systems in Obstetrics

In this session, we will discuss the use of early warning systems in obstetrics.  These systems use abnormal vital signs to identify patients at heighten risk severe maternal morbidity or mortality and thereby facilitate early evaluation and treatment.  We will review the various criteria that have been proposed.  We will discuss the evidence available regarding the impact of using early warning systems in reducing maternal morbidity.  We will discuss some of the challenges associated with implementing early warning systems.  We will close by discussing approaches to maternal risk stratification based on maternal comorbidities, including the use of the Obstetric Comorbidity Index (OB-CMI).

 

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