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 - Scorecard - 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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Clinical Scorecard: Utilization of Standardized Terminologies, Ontologies, and Vocabularies for Evidence Generation in a Global Observational Network: Insights and Challenges from a Mixed Methods Analysis

At a Glance

CategoryDetail
ConditionStandardized Terminologies and Ontologies in Observational Research
Key MechanismsIntegration of diverse coding schemas and ontologies for data harmonization.
Target PopulationBroad, heterogeneous populations across 54 countries.
Care SettingGlobal observational data networks.

Key Highlights

  • Observational data networks provide insights into patient care and treatment outcomes.
  • Common Data Models (CDMs) and data harmonization address variation in data acquisition.
  • OHDSI Standardized Vocabularies facilitate interoperability among diverse data sources.
  • Empirical evidence on the practical use of terminologies within these vocabularies is limited.
  • The study integrates quantitative assessments with qualitative expert interviews.

Guideline-Based Recommendations

Diagnosis

  • Utilize standardized vocabularies for diagnostic coding across different regions.

Management

  • Implement Common Data Models to reconcile discrepancies in data coding.

Monitoring & Follow-up

  • Regularly assess the effectiveness of terminology integration in observational research.

Risks

  • Potential gaps in terminology coverage may necessitate manual curation.

Patient & Prescribing Data

Patients represented in observational data from 544 sources.

Insights derived from real-world data may inform treatment decisions.

Clinical Best Practices

  • Adopt interoperable ontologies to enhance data standardization.
  • Conduct regular evaluations of terminology use in research settings.
  • Facilitate crosswalks connecting local terminologies to standardized vocabularies.

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