Observational studyJournal of the American Medical Informatics Association : JAMIA2023
European Health Data & Evidence Network-learnings from building out a standardized international health data network.
Observational study in Journal of the American Medical Informatics Association : JAMIA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 24 citations in OpenAlex.
- 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
- Federated learning's uncomfortable truth: why human networks matter more than neural networks.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Real-world demographics, clinical characteristics, and testing and treatment patterns in patients with non-small-cell lung cancer and extensive-stage small-cell lung cancer in Belgium: the AIBED study.ESMO real world data and digital oncology · 2026Article
- 'Crossing borders' in data standardisation: application of OMOP CDM in an international clinical trial network in precision cancer medicine.Acta oncologica (Stockholm, Sweden) · 2026Article
- Academic impact and research data utilisation of the clinical practice research datalink: scientometric analyses.European journal of epidemiology · 2026Article
- An OMOP Common Data Model pipeline for electrocardiography dataset integration by standardizing signal metadata and heart rate variability features.Frontiers in bioinformatics · 2026Article
- Harmonizing patient health data into the OMOP common data model: a case study using tuberculosis data from Douala General Hospital, Cameroon.Frontiers in digital health · 2026Article
- A Regulatory Perspective on a UK Federated Data Network for Medicines and Medical Devices: Lessons from a 'Study-A-Thon'.Therapeutic innovation & regulatory science · 2026Article
- Evaluating the impact of OMOP-CDM on data quality insight generation in respiratory disease management.Frontiers in big data · 2026Article
- Preparing real-world data through common data model harmonization of cancer patient records in the COMNet platform at the Modena Oncology Center.Frontiers in digital health · 2026Article
- Best Practices to Design, Plan, and Execute Large-Scale Federated Analyses-Key Learnings and Suggestions from a Study Comprising 52 Databases.Applied clinical informatics · 2025Article
- Advancing Real-World Evidence Through a Federated Health Data Network (EHDEN): Descriptive Study.Journal of medical Internet research · 2025Article
- Unlocking efficiency in real-world collaborative studies: a multi-site international study with one-shot lossless GLMM algorithm.NPJ digital medicine · 2025Article
- Core Concepts in Pharmacoepidemiology: Multi-Database Distributed Data Networks.Pharmacoepidemiology and drug safety · 2025Review
- Article
- Synthetic data generation: a privacy-preserving approach to accelerate rare disease research.Frontiers in digital health · 2025Article
- Assessing Real-World Data From Electronic Health Records for Health Technology Assessment: The SUITABILITY Checklist: A Good Practices Report of an ISPOR Task Force.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2024Article
- Article
- Sharing sensitive data in life sciences: an overview of centralized and federated approaches.Briefings in bioinformatics · 2024Review
- The arisal of data spaces: why I am excited and worried.Frontiers in immunology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveHealth data standardized to a common data model (CDM) simplifies and facilitates research. This study examines the factors that make standardizing observational health data to the Observational Medical Outcomes Partnership (OMOP) CDM successful. MATERIALS AND
methodsTwenty-five data partners (DPs) from 11 countries received funding from the European Health Data Evidence Network (EHDEN) to standardize their data. Three surveys, DataQualityDashboard results, and statistics from the conversion process were analyzed qualitatively and quantitatively. Our measures of success were the total number of days to transform source data into the OMOP CDM and participation in network research.
resultsThe health data converted to CDM represented more than 133 million patients. 100%, 88%, and 84% of DPs took Surveys 1, 2, and 3. The median duration of the 6 key extract, transform, and load (ETL) processes ranged from 4 to 115 days. Of the 25 DPs, 21 DPs were considered applicable for analysis of which 52% standardized their data on time, and 48% participated in an international collaborative study. DISCUSSION: This study shows that the consistent workflow used by EHDEN proves appropriate to support the successful standardization of observational data across Europe. Over the 25 successful transformations, we confirmed that getting the right people for the ETL is critical and vocabulary mapping requires specific expertise and support of tools. Additionally, we learned that teams that proactively prepared for data governance issues were able to avoid considerable delays improving their ability to finish on time.
conclusionThis study provides guidance for future DPs to standardize to the OMOP CDM and participate in distributed networks. We demonstrate that the Observational Health Data Sciences and Informatics community must continue to evaluate and provide guidance and support for what ultimately develops the backbone of how community members generate evidence.
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What OpenQuestion holds
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.