Cohort Selection

Accrual to Clinical Trials Network (ACT Network)

The ACT Network is a real-time, open access platform to explore & validate feasibility for clinical studies. It contains over 125 million patient records, and by the end of 2019 will include ~90% of the Clinical and Translational Science Award (CTSA) consortium.

  • All UC Health campuses participate in the ACT Network
  • Use to determine counts of potential research study cohorts
  • Available at no charge, registration required. Learn more and register:
Free for UCSF Community

Information Commons

Clinical data at scale and very high performance, and an environment suited to pattern recognition and machine learning. This high performance compute cluster on AWS offers:

  • Access to de-identified structured EHR data; additional data sets coming soon, including de-identified clinical notes and images
  • Spark analytics engine, that enables fast data query via Spark-SQL, Machine Learning via Spark MLib, R via SparkR
  • Query data using PatientExploreR  
Free for UCSF Community


  • User friendly tool that enables patient level interactive dynamic reports and visualization of clinical data without programming skills

Recruitment Services

Recruitment Services offers:

  • Identification of cohorts from the UCSF APeX and ZSFG inpatient medical records
  • Honest Broker Service for direct mail to potential participants
  • Recruitment advice - plain language consultation, videos, and more
  • Help using ResearchMatch secure national recruitment registry

Sample Size Calculators

Online tools for clinical researchers:

  • To determine how many subjects to include in a study
  • To answer questions related to sample size or power calculations

UCSF Clinical Data

Research access to UCSF electronic medical record data (APeX) - Research Data Browser (RDB), Clinical Data Warehouse (CDW), and more.

  • Summary statistics
  • Generation of condition-specific patient populations for study recruitment / chart review
  • Outcomes research using historical data in hospital databases