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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
Open publication

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A Guided AI Framework for Customizable and Efficient Harmonisation to the OMOP Common Data ModelDOI 10.64898/2026.08.07.742453
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