Bakar Computational Health Sciences Institute is leading the building of a research data platform, called Information Commons. Along with software tools and data models this forms an infrastructure serving the UCSF research community with many different types of de-identified clinical data. Currently available/planned data are electronic health records, images, clinical notes, omics and waveforms. The distributed computing platform supports tools and models for relational databases, machine learning, natural language processing and script programming. The technology that is being built and tested may serve as an example for a UC-wide health data platform. In this session the speakers will present the current status, the technology behind the data, how different data can be integrated and linked for efficient query, and a few highlighted pilot studies.
Slides: https://ucsf.box.com/s/kgbw1vk5n5gurrw09ec8lwxi2ta0bhxq (MyAccess login required)
Presentation will be all-level. A general understanding of (clinical) data types and their challenges for secure access will be helpful but not required.