Ontology highlight
ABSTRACT: Background
The volume of digital data in health care is continually growing. In addition to its use in health care, the health data collected can also serve secondary purposes, such as research. In this context, clinical data warehouses (CDWs) provide the infrastructure and organization necessary to enhance the secondary use of health data. Various data models have been proposed for structuring data in a CDW, including the Informatics for Integrating Biology & the Bedside (i2b2) model, which relies on a relational database. However, this persistence approach can lead to performance issues when executing queries on massive data sets.Objective
This study aims to describe the necessary transformations and their implementation to enable i2b2's search engine to perform the pheno
SUBMITTER: Griffier R
PROVIDER: S-EPMC12062766 | biostudies-literature | 2025 Apr
REPOSITORIES: biostudies-literature