Evidence map›Paper›PMID 41982622›Full record

ArticleDigital health

Streamlining regulation to Unlock Digital Health Innovation in the NHS.

Yousef Yousef, Jacob Keast, Hajira Dambha-Miller

Abstract read
In one paragraph

Article in Digital health. 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

3 authors.

Yousef YousefPrimary Care Research Centre, University of Southampton, Southampton, UK.ORCID https://orcid.org/0009-0007-1288-6207
Jacob KeastPrimary Care Research Centre, University of Southampton, Southampton, UK.ORCID https://orcid.org/0009-0007-1086-7248
Hajira Dambha-MillerPrimary Care Research Centre, University of Southampton, Southampton, UK.ORCID https://orcid.org/0000-0003-0175-443X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health adoption in the National Health Service (NHS) remains fragmented despite significant technological advances and substantial government investment in innovation initiatives. Many promising digital solutions fail to progress beyond pilot phases, with implementation remaining inconsistent across trusts despite national strategies including the 2022 digital health and social care plan. This Viewpoint examines the principal obstacles to digital health commercialisation within the NHS, focusing on regulatory complexity, organisational fragmentation, limited financial capacity and cultural resistance to change. We review existing support mechanisms including the Digital Technology Assessment Criteria (DTAC), NHS Innovation Accelerator and Clinical Entrepreneur Programme, highlighting their strengths and persistent limitations. To accelerate adoption, we propose two key reforms: formalising DTAC as a mandatory national standard with subsidised compliance pathways for small and medium-sized enterprises, and establishing a national 'innovation passport' that harmonises DTAC, Medicines and Healthcare products Regulatory Agency and procurement requirements into a single, transferable assessment. These reforms, complemented by strengthened procurement coordination and cultural change initiatives, could create a more predictable pathway for digital innovation while maintaining rigorous patient safety standards and enabling equitable access to validated digital health tools across the NHS.

Indexed as

commercialisationDigital healthDTAChealth policyinnovation adoptionNHSregulationSMEs

Identifiers

PMID41982622
PMCPMC13071285

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.