STARR workshop ACENov22
ACE is a tool that combines a unique query language for time-aware search of longitudinal patient records with a patient object datastore for rapid electronic phenotyping, cohort extraction, and exploratory data analyses. ACE operates over data in the Observational Medicine Outcomes Partnership Common Data Model, and is configurable to balance performance with compute cost. ACE’s temporal query language supports complex time-based searches and automatic query expansion using clinical knowledge graphs. This session will lead you through a hands-on exercise integrating electronic phenotype development with cohort-building to enable a variety of high-value uses for a learning health system.
This workshop was led by Alison Callahan.