{
  "id": 732524,
  "title": "A Guided AI Framework for Customizable and Efficient Harmonisation to the OMOP Common Data Model",
  "url": "https://urgent.news/2026/08/12/a-guided-ai-framework-for-customizable-and-efficient-harmonisation-to",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-12T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.07.742453v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "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…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}