ArticleJournal of the American Medical Informatics Association : JAMIA2024
OHDSI Standardized Vocabularies-a large-scale centralized reference ontology for international data harmonization.
Article in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 1 of them a synthesis that pooled it.
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Who cites it
93 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Common data models and data standards for tabular health data: a systematic review.BMC medical informatics and decision making · 2025Pooled it
- Beyond predictive accuracy: A case for mechanism-informed, uncertainty-aware machine learning in food microbiology.iScience · 2026Review
- Enabling evidence generation for extremely preterm neonates: the use of neonatal real-world data.Pediatric research · 2026Review
- Enhancing the Observational Medical Outcomes Partnership Common Data Model to Support Health Equity Research: Expanding Race and Ethnicity Data Representation.Medical care · 2026Article
- Bridging Gaps in Standards for the Secondary Use of Health Data: Exploratory Standard, Tool Assessment, and Feasibility Study.JMIR formative research · 2026Article
- 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.JMIR medical informatics · 2026Article
- An informatics framework to harmonize electronic health record medication data for managed care analytics and artificial intelligence applications.Journal of managed care & specialty pharmacy · 2026Article
- Improving Accessibility and Usability of Clinical Data for the Swiss Personalized Health Network: Development and Usability Study.JMIR medical informatics · 2026Article
- Assessment of real-world evidence research competencies in federated research networks: a maternal health fellowship program evaluation.JAMIA open · 2026Article
- Enhancing semantic interoperability in precision medicine: converting OMOP CDM to Beacon v2 in the Spanish IMPaCT-Data project.BMC medical informatics and decision making · 2026Article
- Mental Health of Youths Who Use Puberty Blockers.JAMA network open · 2026Article
- An autonomous AI agent for knowledge and data cooperation in ED clinical decision support.NPJ digital medicine · 2026Article
- Expanding the OMOP common data model to support extracorporeal life support research.JAMIA open · 2026Article
- Assessing data quality of inflammatory bowel disease patients in theJAMIA open · 2026Article
- Artificial Intelligence in Rare Diseases: Workflow-Integrated Precision Kidney Care.Clinics and practice · 2026Review
- Building an Interoperable Rare Disease Multi-omic Resource: The GREGoR Data Model and Dataset.bioRxiv : the preprint server for biology · 2026Article
- Classifying and visualizing medication use in the ABCD study.Scientific reports · 2026Article
- VO: The Vaccine Ontology.Scientific data · 2026Article
- Observational
- Harnessing big data and artificial intelligence in transfusion medicine: Opportunities for precision, safety and efficiency.Vox sanguinis · 2026Review
33 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
importanceThe Observational Health Data Sciences and Informatics (OHDSI) is the largest distributed data network in the world encompassing more than 331 data sources with 2.1 billion patient records across 34 countries. It enables large-scale observational research through standardizing the data into a common data model (CDM) (Observational Medical Outcomes Partnership [OMOP] CDM) and requires a comprehensive, efficient, and reliable ontology system to support data harmonization. MATERIALS AND
methodsWe created the OHDSI Standardized Vocabularies-a common reference ontology mandatory to all data sites in the network. It comprises imported and de novo-generated ontologies containing concepts and relationships between them, and the praxis of converting the source data to the OMOP CDM based on these. It enables harmonization through assigned domains according to clinical categories, comprehensive coverage of entities within each domain, support for commonly used international coding schemes, and standardization of semantically equivalent concepts.
resultsThe OHDSI Standardized Vocabularies comprise over 10 million concepts from 136 vocabularies. They are used by hundreds of groups and several large data networks. More than 8600 users have performed 50 000 downloads of the system. This open-source resource has proven to address an impediment of large-scale observational research-the dependence on the context of source data representation. With that, it has enabled efficient phenotyping, covariate construction, patient-level prediction, population-level estimation, and standard reporting. DISCUSSION AND
conclusionOHDSI has made available a comprehensive, open vocabulary system that is unmatched in its ability to support global observational research. We encourage researchers to exploit it and contribute their use cases to this dynamic resource.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.