The Oncoshare Project

The Stanford-Palo Alto Medical Foundation (PAMF) Oncoshare Project was founded in 2008 with the goal of using a “big data” approach to improve breast cancer care.

The mission is to build a comprehensive breast cancer research tool that integrates data from a number of unique local and national resources: the statewide, population-based California Cancer Registry; electronic medical records (EMRs) from Stanford University Hospital and multiple sites of the community-based PAMF healthcare system; detailed genomic sequencing results directly from clinical testing laboratories; and patient-reported data on cancer care preferences and experiences. 

Spanning two healthcare systems, Oncoshare is unique in its breadth of focus coupled to its depth of clinical detail. This “big data” approach enables us to generate high-resolution maps of breast cancer treatment, and thus to identify care pathways that yield the best outcomes for patients.  

Allison W. Kurian, M.D., M.Sc.
Principal Investigator

Dr. Kurian directs the Women's Clinical Cancer Genetics Program and is Associate Professor of Medicine and of Health Research & Policy at Stanford University. She received her medical degree from Harvard Medical School, trained as a resident in Internal Medicine at the Massachusetts General Hospital, and completed her fellowship training in Medical Oncology along with a master’s degree in Epidemiology at Stanford University. 

Su-Ying Liang, Ph.D.
Principal Investigator

Dr. Liang is Research Economist at the Palo Alto Medical Foundation Research Institute (PAMFRI). She also holds appointments as a research health economist (since 2000) and adjunct professor at the University of California, San Francisco (since 2011).  Prior to joining PAMFRI, Dr. Liang served on the leadership team for the UCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS). Dr. Liang earned her doctorate in economics from the University of Washington. She holds a bachelor’s degree in economics from National Taiwan University.

Featured Paper

Banerjee I, Bozkurt S, Caswell-Jin JL, Kurian AW*, Rubin DL*.

Natural language processing approaches to detect the timeline of metastatic breast cancer recurrence.  JCO Clinical Informatics 2019 Oct;3:1-12. doi: 10.1200/CCI.19.00034. 

*Co-senior authors.

Oncoshare Monthly Meetings

Medical School Office Building (MSOB)
1265 Welch Rd.
Stanford, CA 94305

Flr. 2, Rm. 275 

4-5pm first Monday of the month