Jan
19
Thu
Center for Population Health Sciences | Seminar Series | Speaker: Julia Adler-Milstein @ Li Ka Shing Center, Berg Hall C
Jan 19 @ 2:00 pm – 3:00 pm
Center for Population Health Sciences | Seminar Series | Speaker: Julia Adler-Milstein @ Li Ka Shing Center, Berg Hall C | Stanford | California | United States

Julia Adler-Milstein, PhD
Associate Professor, School of Information and the School of Public Health
University of Michigan
“Health Information Exchange as a Driver of Improved Population Health”

I have spent the past decade studying the progress of electronic health information exchange (HIE) and EHR system interoperability in the U.S. My talk will begin by setting the policy context and explaining why health information exchange is a key enabler of improved population health. Despite substantial resources devoted to HIE, several recent evidence reviews reveal that we still lack a robust understanding of the extent to which HIE improves outcomes, and, more importantly, the underlying mechanisms. To help address this gap, I will present results from a recent study that assesses whether one approach to HIE that has grown rapidly in recent years – Epic Systems’ CareEverywhere platform – is associated with improved outcomes in the Emergency Department, and whether this relationship is mediated by a key hypothesized mechanism: the timeliness of information return.

Please register here.

Oct
5
Thu
Center for Population Health Sciences: Seminar Series | Jason Boardman @ Li Ka Shing Learning and Knowledge Center, Room 320
Oct 5 @ 2:00 pm – 3:00 pm
Center for Population Health Sciences: Seminar Series | Jason Boardman @ Li Ka Shing Learning and Knowledge Center, Room 320 | Palo Alto | California | United States

Presentation: Statistical inconveniences and the re-reification of racial group membership
Event Information and Registration

Jason Boardman, Professor of Sociology & Director of the Health & Society Program
University of Colorado, Boulder

Recent advances in statistical and population genetics have provided a more nuanced and comprehensive understanding of the human genome. Results from genome wide association studies (GWAS) have been used to develop polygenic scores (PGS) for a wide range of social, economic, and health related outcomes. For many of these outcomes, the association between the PGS and its corresponding trait is weaker in magnitude among African-American compared to European-American subjects. This has led to recent calls to limit the use of PGSs to the ‘discovery population.’ This presentation will discuss the implications of this and other recommendations regarding the use of racial identities as related to statistical genetics. Specifically, we will discuss the extent to which statistical modeling decisions are incorrectly re-framing our understanding of human difference and these small and otherwise meaningless differences align with the concept of “race.”

Apr
2
Tue
Center for Population Health Sciences Seminar Series: Howard Hu @ Li Ka Shing Learning and Knowledge Center, Room 320
Apr 2 @ 12:00 pm – 1:00 pm
Center for Population Health Sciences Seminar Series: Howard Hu @ Li Ka Shing Learning and Knowledge Center, Room 320

The Global Burden of Disease-Pollution and Health Initiative
Howard Hu, University of Washington

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Jun
2
Tue
Center for Population Health Sciences Seminar Series: Lawrence H. Kushi @ Online Event
Jun 2 @ 11:00 am – 12:00 pm
Center for Population Health Sciences Seminar Series: Lawrence H. Kushi @ Online Event

Leveraging Population, Clinical, and Data Resources for Cancer Research in Kaiser Permanente Northern California

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Remote session only:  Zoom Link

Lawrence H. Kushi, ScD, is the Director of Scientific Policy at the Kaiser Permanente Northern California Division of Research. Dr. Kushi will be presenting his work with the Virtual Data Warehouse.  Kaiser Permanente Northern California is one of the oldest and largest integrated health care systems in the United States, providing care to approximately a third of the population in the counties in which it has a physical presence.  A pioneer in use of electronic medical records, comprehensive databases capture near-complete documentation of clinical activity associated with most clinical encounters.  In partnership with the members of the Health Care Systems Research Network, Kaiser has implemented the Virtual Data Warehouse common data model to facilitate collaborative research. These data have been leveraged for research across the cancer care spectrum, from etiologic studies of cancer risk, through screening, treatment, and outcomes.  These data provide an unparalleled opportunity for research use of real-world clinical and administrative data.