Evidence map›Paper›PMID 40795322›Full record

ArticleJMIR human factors2025

Digital Capability, Open-Source Use, and Interoperability Standards Within the National Health Service in England: Survey of Health Care Trusts.

Matthew Russell Bennion, Ross Spencer, Roger K Moore, Richard Kenyon

Abstract read
In one paragraph

Article in JMIR human factors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

4 authors.

Matthew Russell BennionSchool of Computer Science, University of Sheffield, Regent Court, 211 Portobello, Sheffield, S1 4DP, United Kingdom, 44 1142221800.ORCID 0000-0003-2318-1468
Ross SpencerUnaffiliated, Leipzig, Germany.ORCID 0000-0002-5144-9794
Roger K MooreSchool of Computer Science, University of Sheffield, Regent Court, 211 Portobello, Sheffield, S1 4DP, United Kingdom, 44 1142221800.ORCID 0000-0003-0065-3311
Richard KenyonAston Business School, Aston University, Birmingham, United Kingdom.ORCID 0000-0003-1055-9599

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In 2016, the National Health Service (NHS) England sought to drive digital transformation within select NHS trusts through the Global Digital Exemplar (GDE) program. While the program did advance the NHS's integration with digital technologies, disparities in digital maturity persisted between GDE-funded and nonfunded NHS trusts. The Department of Health and Social Care (DHSC) launched a data strategy in 2022 that aimed to develop the appropriate technical infrastructure and data architecture to enable more effective and efficient use of its data. Given the diversity in digital capabilities, open-source adoption, and interoperability standards within NHS services, official guidance has continued to struggle to provide effective unification. Data about capabilities and technologies from application development teams in the NHS trusts, crucial for advancing these areas, remains insufficient. Objective: This study aimed to further document the capabilities and technologies used in the NHS to develop digital capacity, comparing those with standard funding against those with additional GDE funding. This comparative analysis provides a foundational understanding for evaluating current practices and identifying potential areas for improvement in the NHS digital transformation efforts. Methods: This study was conducted using Freedom of Information (FOI) requests and systematic website searches. The Freedom of Information Act (FOIA) allows individuals to request information held by public authorities. This process supports transparency and accountability by ensuring public access to government data. Data were compiled from two sources: (1) FOI requests submitted to NHS trusts between July 2020 and December 2020, and (2) systematic website searches for technology conducted between August 2020 and July 2021. A series of chi-square tests was conducted to validate and strengthen the robustness of the FOI questions. Results: A total of 191 (84.5%) of the then 226 NHS trusts completed the FOI request, and 161 of the 191 (84%) had software and app development, website, or innovation teams. A total of 112 (69.6%) teams developed front-facing service user websites and apps. Out of 191, 150 (93.2%) worked with clinical staff to formulate innovative ideas, 55 (34.2%) carried out developments for other trusts and external entities, 35 (21.7%) had attempted to secure an innovation grant, and 138 (86%) disclosed the technologies they use. A total of 25 (15.5%) said they always used open-source technology, and 24 (17%) disclosed technologies associated with interoperability standards in their responses. Conclusions: The NHS must adopt a cohesive strategy and refine policies to ensure the success of its digital, open-source technology and interoperability standards initiatives. Five recommendations toward greater organizational interoperability are made by the authors. Future research should examine digital innovation across NHS trusts, focusing on barriers such as limited resources, organizational culture, and technical expertise. Identifying these challenges is essential for developing strategies to reduce disparities and promote equal progress.

Indexed as

Digital TechnologyHealth Information InteroperabilityState MedicineEnglandHumansSurveys and Questionnairescapabilitiescomparative analysisDepartment of Health and Social Caredigital capabilitydocumentEnglandGDE fundingGlobal Digital ExemplarhealthcareinitiativeinteroperabilityNational Health ServiceNHSopen sourcesurveystechnologies

Identifiers

PMID40795322
PMCPMC12342686

What OpenQuestion holds

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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.