Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) dataset.

ABSTRACT:

Objective

The goals of this study were to harmonize data from electronic health records (EHRs) into common units, and impute units that were missing.

Materials and methods

The National COVID Cohort Collaborative (N3C) table of laboratory measurement data-over 3.1 billion patient records and over 19 000 unique measurement concepts in the Observational Medical Outcomes Partnership (OMOP) common-data-model format from 55 data partners. We grouped ontologically similar OMOP concepts together for 52 variables relevant to COVID-19 research, and developed a unit-harmonization pipeline comprised of (1) selecting a canonical unit for each measurement variable, (2) arriving at a formula for conversion, (3) obtaining clinical review of each formula, (4) applying the formula to convert

SUBMITTER: Bradwell KR 

PROVIDER: S-EPMC9196692 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature