Ontology highlight
ABSTRACT: Rationale
Critical illness threatens millions of lives annually. Electronic health record (EHR) data are a source of granular information that could generate crucial insights into the nature and optimal treatment of critical illness.Objectives
Overcome the data management, security, and standardization barriers to large-scale critical illness EHR studies.Methods
We developed a Common Longitudinal Intensive Care Unit (ICU) data Format (CLIF), an open-source database format to harmonize EHR data necessary to study critical illness. We conducted proof-of-concept studies with a federated research architecture: (1) an external validation of an in-hospital mortality prediction model for critically ill patients and (2) an assessment of 72-h temperature trajectories and the
SUBMITTER: Rojas JC
PROVIDER: S-EPMC12167506 | biostudies-literature | 2025 Mar
REPOSITORIES: biostudies-literature