EHR-OMOP-pipeline

EHR datasets from AI-READi sites undergo cleaning, ingestion, and harmonization in the OMOP CDM data acquisition workstream, resulting in a unified LDS dataset for research. The overall data curation workflow and pipeline steps are documented and shared in ghis GitHub.

Contributors - Johns Hopkins University School of Medicine, Biomedical Informatics and Data Science, AI-READi data standards team : Stephanie Hong, Jessica Mitchell, Monique Banguidi, Yvette Chen, James Cavallon, Tricia Francis, Christpher Chute.