"Using Big Data and Causal Methods to Improve Clinical Practice"

The Anne Klibanski Visiting Lecture Series was created to support and advance the careers of women. These lectures offer the opportunity for women faculty from outside institutions that have hosted Anne Klibanski Scholars to present on their expertise, either alone or in tandem with an Anne Klibanski Scholar.

Presenter: Anthea Lindquist, MBBS, DPhil, Obstetrician/gynaecologist and perinatal epidemiologist, Mercy Hospital for Women, University of Melbourne, Australia

Learning Objectives:

Upon completion of this activity, participants were able to:

Gain an understanding of the potential role of causal inference methods in clinical decision-making. Gain an appreciation of how big data and causal methods can help answer difficult clinical questions in obstetric practice. Review the current gaps in pharmacoepidemiology in obstetrics and how these methods might be able to fill these gaps. Click here to watch webinar.

Episode ID: 1000657974641

GUID: d8b9697c-6a6b-4562-bf58-260eace68a92

Release Date: 05/06/2024, 21:22:00