Extracting patient-level data from the electronic health record: Expanding opportunities for health system research.

ABSTRACT:

Background

Epidemiological studies of interstitial lung disease (ILD) are limited by small numbers and tertiary care bias. Investigators have leveraged the widespread use of electronic health records (EHRs) to overcome these limitations, but struggle to extract patient-level, longitudinal clinical data needed to address many important research questions. We hypothesized that we could automate longitudinal ILD cohort development using the EHR of a large, community-based healthcare system.

Study design and methods

We applied a previously validated algorithm to the EHR of a community-based healthcare system to identify ILD cases between 2012-2020. We then extracted disease-specific characteristics and outcomes using fully automated data-extraction algorithms and natural languag

SUBMITTER: Farrand E 

PROVIDER: S-EPMC10004557 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature