Evidence mapPaperPMID 40774333Full record

ArticleJournal of medical Internet research2025

Advancing Real-World Evidence Through a Federated Health Data Network (EHDEN): Descriptive Study.

Clair Blacketer, Martijn J Schuemie, Maxim Moinat, Erica A Voss, Montse Camprubi, Peter R Rijnbeek, Patrick B Ryan

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Federated learning's uncomfortable truth: why human networks matter more than neural networks.Journal of the American Medical Informatics Association : JAMIA · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Clair BlacketerOHDSI Collaborators, New York, NY, United States.ORCID http://orcid.org/0000-0003-2570-2124
Martijn J SchuemieOHDSI Collaborators, New York, NY, United States.ORCID http://orcid.org/0000-0002-0817-5361
Maxim MoinatOHDSI Collaborators, New York, NY, United States.ORCID http://orcid.org/0000-0001-8473-2433
Erica A VossOHDSI Collaborators, New York, NY, United States.ORCID http://orcid.org/0000-0002-0651-0613
Montse CamprubiOHDSI Collaborators, New York, NY, United States.ORCID http://orcid.org/0009-0008-3512-0666
Peter R Rijnbeek *OHDSI Collaborators, New York, NY, United States.ORCID http://orcid.org/0000-0003-0621-1979
Patrick B Ryan *OHDSI Collaborators, New York, NY, United States.ORCID http://orcid.org/0000-0002-9727-2138

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Real-world data (RWD) are increasingly used in health research and regulatory decision-making to assess the effectiveness, safety, and value of interventions in routine care. However, the heterogeneity of European health care systems, data capture methods, coding standards, and governance structures poses challenges for generating robust and reproducible real-world evidence. The European Health Data & Evidence Network (EHDEN) was established to address these challenges by building a large-scale federated data infrastructure that harmonizes RWD across Europe. Objective: This study aims to describe the composition and characteristics of the databases harmonized within EHDEN as of September 2024. We seek to provide transparency regarding the types of RWD available and their potential to support collaborative research and regulatory use. Methods: EHDEN recruited data partners through structured open calls. Selected data partners received funding and technical support to harmonize their data to the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM), with assistance from certified small-to-medium enterprises trained through the EHDEN Academy. Each data source underwent an extract-transform-load process and data quality assessment using the data quality dashboard. Metadata-including country, care setting, capture method, and population criteria-were compiled in the publicly accessible EHDEN Portal. Results: As of September 1, 2024, the EHDEN Portal includes 210 harmonized data sources from 30 countries. The highest representation comes from Italy (13%), Great Britain (12.5%), and Spain (11.5%). The mean number of persons per data source is 2,147,161, with a median of 457,664 individuals. Regarding care setting, 46.7% (n=98) of data sources reflect data exclusively from secondary care, 42.4% (n=89) from mixed care settings (both primary and secondary), and 11% (n=23) from primary care only. In terms of population inclusion criteria, 55.7% (n=117) of data sources include individuals based on health care encounters, 32.9% (n=69) through disease-specific data collection, and 11.4% (n=24) via population-based sources. Data capture methods also vary, with electronic health records (EHRs) being the most common. A total of 74.7% (n=157) of data sources use EHRs, and more than half of those (n=85) rely on EHRs as their sole method of data collection. Laboratory data are used in 29.5% (n=62) of data sources, although only one relies exclusively on laboratory data. Most laboratory-based data sources combine this method with other forms of data capture. Conclusions: EHDEN is the largest federated health data network in Europe, enabling standardized, General Data Protection Regulation-compliant analysis of RWD across diverse care settings and populations. This descriptive summary of the network's data sources enhances transparency and supports broader efforts to scale federated research. These findings demonstrate EHDEN's potential to enable collaborative studies and generate trusted evidence for public health and regulatory purposes.

Indexed as

Databases, FactualEuropeHumansdata governancedata qualityelectronic health recordsepidemiologyhealth informaticsreal-world dataregistries

Identifiers

PMID40774333
PMCPMC12331365

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.