Evidence map›Paper›PMID 42476985›Full record

ArticleScientific data2026

The FAIR Case for A Coherent Interoperability to support NHS 10 Year Health Plan.

Hanida Tomlinson, Tim Beck, Fortunato Dalrymple Castillo, Lei Clifton, Kathrin Cresswell, Rachel Dunscombe, John Farenden, Pritesh Mistry, Minal Patel, Andrew Soltan and 2 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Hanida TomlinsonOxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK. hanida.tomlinson@lmh.ox.ac.uk.ORCID http://orcid.org/0009-0003-9293-4598
Tim BeckCentre for Health Informatics, School of Medicine, University of Nottingham, Nottingham, UK.ORCID http://orcid.org/0000-0002-0292-7972
Fortunato Dalrymple CastilloBritish Computing Society (BCS), Swindon, UK.ORCID http://orcid.org/0009-0007-8068-2425
Lei CliftonNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-5595-8468
Kathrin CresswellUsher Institute, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-6634-9537
Rachel DunscombeInstitute of Global Health Innovation, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-2266-7063
John FarendenINTEROPen, Portsmouth, UK.ORCID http://orcid.org/0000-0003-1879-7938
Pritesh MistryThe Kings Fund, London, UK.ORCID http://orcid.org/0000-0002-3103-9851
Minal PatelTransformation Directorate, NHS England, London, UK.ORCID http://orcid.org/0009-0006-6775-8627
Andrew SoltanDepartment of Oncology, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-2391-5361
Philippe Rocca-SerraOxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-9853-5668
Susanna-Assunta SansoneOxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-5306-5690

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an urgent need to improve the data infrastructure supporting access to patient information within the National Health Service (NHS), England's publicly funded healthcare system. Delivering effective, patient-centred care depends on timely access to accurate and sufficient patient information. However, achieving this remains challenging in a fragmented health and care environment, where a longitudinal patient record depends on interoperable information sharing across organisational and geographical boundaries. The health and care landscape in England is characterised by considerable organisational, technical, and governance complexity, resulting in substantial variation in digital maturity and information sharing capability across health and care settings. Within this heterogeneous environment, effective interoperability depends not only on the ability to exchange data but also on the alignment of standards, governance, and organisational capability. These interdependencies suggest that achieving coherent interoperability requires more than isolated technical solutions. Rather, they highlight the need for a unifying framework for interoperability that integrates standards, governance, and implementation, informed by internationally recognised standards and approaches. Such a framework could help shift the focus from recurring debates and isolated initiatives towards more consistent, scalable, and sustainable interoperability. Notably, current research provides limited guidance on how data governance and standards stewardship can be coordinated to achieve coherent interoperability across direct care systems. Existing approaches have largely focused on technical integration and standards implementation, with comparatively less attention has been given to the governance, semantic, and lifecycle processes required to sustain interoperability at system scale. This paper explores the role of data and standards management as foundational components of interoperability and considers the potential of the FAIR (Findable, Accessible, Interoperable, Reusable) Principles as a framework for advancing interoperability in direct care. Drawing on FAIR-aligned health research initiatives, we suggest that extending FAIR-informed approaches from health research to direct care within the NHS could provide a unifying framework for more coherent interoperability, while informing future standards governance, policy, procurement, and legislation in support of the NHS 10-Year Health Plan (2025-2035).

Indexed as

Health Information InteroperabilityInformation DisseminationState MedicineElectronic Health RecordsEnglandHumans

Identifiers

PMID42476985
PMCPMC13490438

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.