ACE: the Advanced Cohort Engine for searching longitudinal patient records.

ABSTRACT:

Objective

To propose a paradigm for a scalable time-aware clinical data search, and to describe the design, implementation and use of a search engine realizing this paradigm.

Materials and methods

The Advanced Cohort Engine (ACE) uses a temporal query language and in-memory datastore of patient objects to provide a fast, scalable, and expressive time-aware search. 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. The ACE API can be used with R, Python, Java, HTTP, and a Web UI.

Results

ACE offers an expressive query language for complex temporal search across many clinical d

SUBMITTER: Callahan A 

PROVIDER: S-EPMC8279796 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature