Real-World Use of Controlled Terminologies, Ontologies, and Vocabularies for Evidence Generation Across a Large International Observational Network: Challenges and Lessons Learned From a Mixed Method Study - Takeaways - MDSpire
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Utilization of Standardized Terminologies, Ontologies, and Vocabularies for Evidence Generation in a Global Observational Network: Insights and Challenges from a Mixed Methods Analysis

  • By

  • Anna Ostropolets

  • Vlad Korsik

  • Tatsiana Skuhareuskaya

  • Aleh Zhuk

  • Maryia Khitrun

  • Alexander Davydov

  • Dmitry Dymshyts

  • Christian Reich

  • George Hripcsak

  • Patrick Ryan

  • September 15, 2026

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  • 1

    Retrospective observational studies utilize real-world data to provide insights into patient care that randomized clinical trials may not capture.

  • 2

    The OHDSI network integrates patient data from 544 sources across 54 countries using the OMOP Common Data Model for standardized analytics.

  • 3

    Standardized Vocabularies in the OMOP CDM facilitate interoperability by connecting diverse local terminologies through equivalence relationships.

  • 4

    Empirical evidence on the practical use of individual terminologies within the OMOP Standardized Vocabularies remains limited.

  • 5

    The study aims to assess terminology integration challenges and propose solutions for maintaining common standards across diverse data sources.

Original Source(s)

Real-World Use of Controlled Terminologies, Ontologies, and Vocabularies for Evidence Generation Across a Large International Observational Network: Challenges and Lessons Learned From a Mixed Method Study

  • by Anna Ostropolets, Vlad Korsik, Tatsiana Skuhareuskaya, Aleh Zhuk, Maryia Khitrun, Alexander Davydov, Dmitry Dymshyts, Christian Reich, George Hripcsak, Patrick Ryan

  • September 15, 2026

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