ArticleApplied clinical informatics2020
Transforming French Electronic Health Records into the Observational Medical Outcome Partnership's Common Data Model: A Feasibility Study.
Article in Applied clinical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
27 citing papers in PubMed.
- Transforming Traditional Korean Medicine hospital EHRs into the OMOP common Data Model: methodology and implications.BMC medical informatics and decision making · 2026Article
- Evaluating the statistical utility and information loss in the transformation of a real-world oncology database from CDISC-SDTM to OMOP-CDM.ESMO real world data and digital oncology · 2026Article
- Semiautomatic mapping of a national drug terminology to standardised OMOP drug concepts using publicly available supplementary information.BMC medical research methodology · 2025Article
- Success and Challenges Querying OMOP-transformed EHR Data from Different Healthcare Organizations.ACI open · 2025Article
- Exploring the Possibility of Medical Device Surveillance in Patients on Peritoneal Dialysis Using a Common Data Model.Medicina (Kaunas, Lithuania) · 2025Article
- Mapping Emergency Medicine Data to the Observational Medical Outcomes Partnership Common Data Model: A Gap Analysis of the American College of Emergency Physicians Clinical Emergency Data Registry.Journal of the American College of Emergency Physicians open · 2025Article
- Article
- Coverage of Physical Therapy Assessments in the Observational Medical Outcomes Partnership Common Data Model.Applied clinical informatics · 2024Article
- Implementation of the Observational Medical Outcomes Partnership Model in Electronic Medical Record Systems: Evaluation Study Using Factor Analysis and Decision-Making Trial and Evaluation Laboratory-Best-Worst Methods.JMIR medical informatics · 2024Article
- Data Model for the Comprehensive Management of Biobanks and Its Contribution to Personalized Medicine.Journal of personalized medicine · 2024Article
- Conceptual design of a generic data harmonization process for OMOP common data model.BMC medical informatics and decision making · 2024Review
- European Health Data & Evidence Network-learnings from building out a standardized international health data network.Journal of the American Medical Informatics Association : JAMIA · 2023Observational
- Transforming Estonian health data to the Observational Medical Outcomes Partnership (OMOP) Common Data Model: lessons learned.JAMIA open · 2023Article
- Assessing the Use of German Claims Data Vocabularies for Research in the Observational Medical Outcomes Partnership Common Data Model: Development and Evaluation Study.JMIR medical informatics · 2023Article
- Using A Standardized Nomenclature to Semantically Map Oncology-Related Concepts from Common Data Models to a Pediatric Cancer Data Model.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- Conversion of Automated 12-Lead Electrocardiogram Interpretations to OMOP CDM Vocabulary.Applied clinical informatics · 2022Article
- Big data analysis and artificial intelligence in epilepsy - common data model analysis and machine learning-based seizure detection and forecasting.Clinical and experimental pediatrics · 2022Article
- Article
- Transformation and Evaluation of the MIMIC Database in the OMOP Common Data Model: Development and Usability Study.JMIR medical informatics · 2021Article
- Transforming Anesthesia Data Into the Observational Medical Outcomes Partnership Common Data Model: Development and Usability Study.Journal of medical Internet research · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCommon data models (CDMs) enable data to be standardized, and facilitate data exchange, sharing, and storage, particularly when the data have been collected via distinct, heterogeneous systems. Moreover, CDMs provide tools for data quality assessment, integration into models, visualization, and analysis. The observational medical outcome partnership (OMOP) provides a CDM for organizing and standardizing databases. Common data models not only facilitate data integration but also (and especially for the OMOP model) extends the range of available statistical analyses.
objectiveThis study aimed to evaluate the feasibility of implementing French national electronic health records in the OMOP CDM.
methodsThe OMOP's specifications were used to audit the source data, specify the transformation into the OMOP CDM, implement an extract-transform-load process to feed data from the French health care system into the OMOP CDM, and evaluate the final database.
resultsSeventeen vocabularies corresponding to the French context were added to the OMOP CDM's concepts. Three French terminologies were automatically mapped to standardized vocabularies. We loaded nine tables from the OMOP CDM's "standardized clinical data" section, and three tables from the "standardized health system data" section. Outpatient and inpatient data from 38,730 individuals were integrated. The median (interquartile range) number of outpatient and inpatient stays per patient was 160 (19-364).
conclusionOur results demonstrated that data from the French national health care system can be integrated into the OMOP CDM. One of the main challenges was the use of international OMOP concepts to annotate data recorded in a French context. The use of local terminologies was an obstacle to conceptual mapping; with the exception of an adaptation of the International Classification of Diseases 10th Revision, the French health care system does not use international terminologies. It would be interesting to extend our present findings to the 65 million people registered in the French health care system.
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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.