  Stanford Medicine is building a new data platform for our academic research
community to do better clinical data science. Hospitals have a large amount of
patient data and researchers have demonstrated the ability to reuse that data
and AI approaches to derive novel insights, support patient care, and improve
care quality. However, the traditional data warehouse and Honest Broker
approaches that are in current use, are not scalable. We are establishing a new
secure Big Data platform that aims to reduce time to access and analyze data.
In this platform, data is anonymized to preserve patient data privacy and made
available preparatory to Institutional Review Board (IRB) submission.
Furthermore, the data is standardized such that analysis done at Stanford can
be replicated elsewhere using the same analytical code and clinical concepts.
Finally, the analytics data warehouse integrates with a secure data science
computational facility to support large scale data analytics. The ecosystem is
designed to bring the modern data science community to highly sensitive
clinical data in a secure and collaborative big data analytics environment with
a goal to enable bigger, better and faster science.
