Article
A Guided AI Framework for Customizable and Efficient Harmonisation to the OMOP Common Data Model
2026-08-12
Abstract excerpt
Getting clinical data from different sources to "talk" to each other within the OMOP Common Data Model (CDM) is arguably the most tedious part of multi-center research. While this integration is essential, the transformation process is frequently a manual grind, requiring a rare overlap of deep clinical knowledge and technical expertise. In this paper, we present a framework designed to alleviate some of the burde...
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Identifiers and source
- Literature Corpus work
- b144ae5c-aa0d-5fe9-9604-a7ef3ee04788
- DOI
- 10.64898/2026.08.07.742453
