Evidence map›Paper›PMID 40830696›Full record

ArticleTherapeutic innovation & regulatory science2026

A Regulatory Perspective on a UK Federated Data Network for Medicines and Medical Devices: Lessons from a 'Study-A-Thon'.

Helen P Booth, John Connelly, Daniel Dedman, Katherine Donegan, Alison Cave

Abstract read
In one paragraph

Article in Therapeutic innovation & regulatory science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Helen P BoothMedicines and Healthcare products Regulatory Agency, 10 South Colonnade, Canary Wharf, London, E14 4PU, UK. helen.booth@mhra.gov.uk.
John ConnellyMedicines and Healthcare products Regulatory Agency, 10 South Colonnade, Canary Wharf, London, E14 4PU, UK.
Daniel DedmanMedicines and Healthcare products Regulatory Agency, 10 South Colonnade, Canary Wharf, London, E14 4PU, UK.
Katherine DoneganMedicines and Healthcare products Regulatory Agency, 10 South Colonnade, Canary Wharf, London, E14 4PU, UK.
Alison CaveMedicines and Healthcare products Regulatory Agency, 10 South Colonnade, Canary Wharf, London, E14 4PU, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Internationally, medical regulators are seeking to make better use of real-world data (RWD) to support their decision making. While the UK National Health Service collects population-wide cradle-to-grave data, challenges remain around siloing, interoperability and access to data across different care settings. In 2023, a `Study-A-Thon' was held to explore how mobilisation of a UK distributed data network might be used to generate real-world evidence (RWE) for regulatory purposes by increasing availability of RWD in a timely manner. Two research questions focusing on high-priority data gaps (medical devices and secondary care prescribing) were selected as case studies to support this work. This paper summarises details of the Study-A-Thon and discusses key learnings for the UK's Medicines and Healthcare products Regulatory Agency (MHRA), UK stakeholders and international partners to reflect on when developing and implementing RWD strategies. Shortcomings of the data are discussed, such as a lack of follow-up for patients across care settings and the need to develop common data models to capture relevant information on medical product utilisation. The importance of local data and clinical expertise for success is highlighted, from encouraging better data collection at point of care through to appropriate interpretation of results. Successful delivery of results for both studies supports the view that, with further development, a UK federated data model could enhance national regulatory decision-making across the product lifecycle.

Indexed as

Equipment and SuppliesGovernment RegulationUnited KingdomData analyticsGovernment regulationMedical device regulationReal-world dataReal-world evidenceRoutinely collected health data

Identifiers

PMID40830696
PMCPMC12753524

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.