Towards ETL Processes to OMOP CDM Using Metadata and Modularization
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
OMOP common data model (CDM) is designed for analyzing large clinical data and building cohorts for medical research, which requires Extract-Transform-Load processes (ETL) of local heterogeneous medical data. We present a concept for developing and evaluating a modularized metadata-driven ETL process, which can transform data into OMOP CDM regardless of 1) the source data format, 2) its versions and 3) context of use.
Details
| Original language | English |
|---|---|
| Pages (from-to) | 751-752 |
| Number of pages | 2 |
| Journal | Studies in health technology and informatics |
| Volume | 302 |
| Publication status | Published - 18 May 2023 |
| Peer-reviewed | Yes |
External IDs
| Scopus | 85159762077 |
|---|---|
| Mendeley | 4f1c8f69-141a-33e5-ba80-cdbec89a562d |
| ORCID | /0000-0002-9888-8460/work/142254111 |
| ORCID | /0000-0002-5002-2676/work/165060504 |
Keywords
ASJC Scopus subject areas
Keywords
- Metadata, Electronic Health Records, Databases, Factual, Biomedical Research, data harmonization, OMOP CDM, interoperability, ETL