Zoom
Improving maternal health with data-driven digital care systems
The United States is in the midst of a worsening maternal health crisis with the rate of pregnancy-related hypertension nearly doubling over the past decade, over one third of US counties classified as maternity care deserts, and a nearly three times higher rate of pregnancy-related death among Black women. At the backdrop of these numbers is the fact that nearly 85% of pregnancy-related deaths are preventable. We are left with the question: how can we improve the delivery of pregnancy care to prevent complications and subsequent adverse outcomes?
In this seminar, I will describe how data-driven digital care systems can close existing gaps in pregnancy care by enabling earlier intervention and monitoring. Specifically, I will detail how our Delfina team leverages data to: design data visualizations to improve remote patient monitoring, deploy predictive algorithms to enable personalized interventions, and implement quasi-experimental designs to optimize patient care experiences and outcomes.
Isabel Fulcher is a statistician passionate about improving access to and quality of reproductive healthcare through data science and digital health technologies. She is currently the VP of Data Science at Delfina, where she leverages multiple data sources and data science tools to build patient-centered technologies that improve pregnancy care. Dr. Fulcher has a PhD in Biostatistics and was formerly a Harvard Data Science Initiative Postdoctoral Fellow, where she specialized in integrating causal inference methods into implementation science to evaluate the impact of programs and policies on health outcomes.