ACE Workshop -STARR Summit 2022
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 accepts 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 automatic query expansion using clinical knowledge graphs. This session leads 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.