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ABSTRACT: Objectives
Electronic health record (EHR) data are increasingly used for biomedical discoveries. The nature of the data, however, requires expertise in both data science and EHR structure. The Observational Medical Out-comes Partnership (OMOP) common data model (CDM) standardizes the language and structure of EHR data to promote interoperability of EHR data for research. While the OMOP CDM is valuable and more attuned to research purposes, it still requires extensive domain knowledge to utilize effectively, potentially limiting more widespread adoption of EHR data for research and quality improvement.Materials and methods
We have created ROMOP: an R package for direct interfacing with EHR data in the OMOP CDM format.Results
ROMOP streamlines typical EHR-related data
SUBMITTER: Glicksberg BS
PROVIDER: S-EPMC6800657 | biostudies-literature | 2019 Apr
REPOSITORIES: biostudies-literature