Evidence map›Paper›PMID 40241909›Full record

ArticleFrontiers in medicine2025

The Innovative Health Initiative public-private partnership: a catalyst for big data-driven health research and innovation.

Elisabetta Vaudano

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Toward Sex-Specific Biomaterials Innovation: A Perspective.ACS biomaterials science & engineering · 2025
    Review
  4. Review
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

1 author.

Elisabetta VaudanoInnovative Health Initiative Joint Undertaking, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of "Big Data" in health research could be a game changer to revolutionize the field and drive innovation. However, the complexity of health data and of the healthcare ecosystem makes big data applications challenging. To overcome these challenges, it is essential that all stakeholders, both data owners and users, feel comfortable with the data use and the results of the analyses. This can only be achieved using a collaborative approach that prioritizes transparency and trust. The European Innovative Health Initiative (IHI) is a prime example of a successful public-private partnership that has achieved this. By fostering a culture of collaboration and trust, the IHI has enabled unprecedented access to large amounts of health data, improved data quality and standards, and created valuable resources and knowledge for progress in areas of unmet public health need. This perspective explores the IHI model and highlights examples from its projects that demonstrate its power as a catalyst for big data-driven health research and innovation. By sharing lessons learned and best practices, we aim to contribute to the development of a robust data-driven evidence base for the translation of research into improved patient care practices and products.

Indexed as

big datacollaborationdata accesshealthpatientspublic–private partnershipqualitytrust

Identifiers

PMID40241909
PMCPMC12000657

What OpenQuestion 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 OpenQuestion graph.