Quantitative Health Sciences Calendar
“Opportunities to Advance Health Equity through Implementation Science”
Wednesday, December 4, 2024
Event Description
Bio: Eileen Dryden, PhD is an applied anthropologist and investigator at the Center for Health Optimization and Implementation Research (CHOIR) at the Veterans Health Administration in Bedford, MA. Her current work focuses on patient-centered care, caregivers, virtual geriatrics, and Whole Health. She specializes in qualitative and participatory research and evaluation methods.
Brief Description: Over the past decade, the Veterans Health Administration (VA) has been striving to change their culture of care to be more patient-centered and inclusive. As a reflection of this, they have partnered with the Elizabeth Dole Foundation to develop and promote the Campaign for Inclusive Care focused on integrating caregivers into Veterans’ healthcare teams. Separately, the VA has put considerable resources and effort towards creating a Whole Health System of Care with the aim of supporting Veterans’ health and well-being centered around what matters most to the Veteran. The question of how to best implement these changes in the VA, the largest integrated healthcare system in the United States, remains an ongoing challenge. Dr. Dryden will discuss her training as an applied anthropologist and how that experience has informed her research and allowed her to make valuable contributions to this transformational shift at the VA.
Click here to join or call 1 301 715 8592, Meeting ID: 948 2951 6040 password: 202286
Tuesday, December 10, 2024
Event Description
Dr. Mark Linzer, MD will summarize decades of research into workplace toxicity in healthcare systems, followed by a Q and A discussion about how we can improve our own working environment.
Click the link to join.
Wednesday, December 18, 2024
Event Description
Bios: Dr. Ash has a PhD in mathematics and is Division Chief of Biostatistics and Health Services Research in PQHS. Dr. Ellis has a PhD in economics and is a professor in the Economics Department in the College of Arts and Sciences at Boston University. The speakers have worked together, since the mid-1980s, to develop risk models for managing health care that are now used by the federal government and many others.
Description: We will share learning from decades of model building and testing, including: what questions are answered by different kinds of validation procedures; how validation and cross-validation differ; why validation is crucial when N is small, especially compared to p (the number of potential predictors); which aspects of models or measures of model performance might be unstable, even when built on 10s of millions of observations and p is not large; why and how to use bootstrapping for cross-validation (and how to do so efficiently with huge Ns).
Click here to join or call 1 301 715 8592, Meeting ID: 948 2951 6040 password: 202286