Evidence map›Paper›PMID 40538862›Full record

ArticleFrontiers in health services2025

The role of procurement frameworks in responsible AI innovation in the National Health Service: a multi-stakeholder perspective.

Thomas D Evans, Omer Ahmad, Joseph E Alderman, Georgia Bailey, Peter Bannister, Nick Barlow, Natalie Davison, Amanda Isaac, Aditya U Kale, Trystan MacDonald and 4 more

Abstract read
In one paragraph

Article in Frontiers in health services, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

14 authors.

Thomas D EvansAI and Digital Health Team, University of Birmingham, Birmingham, United Kingdom.
Omer AhmadDivision of Surgery & Interventional Science, University College London, London, United Kingdom.
Joseph E AldermanCollege of Medicine and Health, University of Birmingham, Birmingham, United Kingdom.
Georgia BaileySkin Analytics, London, United Kingdom.
Peter BannisterCollege of Medicine and Health, University of Birmingham, Birmingham, United Kingdom.
Nick BarlowDrDoctor, London, United Kingdom.
Natalie DavisonAI and Digital Health Team, University of Birmingham, Birmingham, United Kingdom.
Amanda IsaacSchool of Biomedical Imaging and Imaging Sciences, King's College London, London, United Kingdom.
Aditya U KaleCollege of Medicine and Health, University of Birmingham, Birmingham, United Kingdom.
Trystan MacDonaldNational Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, United Kingdom.
Qasim MalikAI and Digital Health Team, University of Birmingham, Birmingham, United Kingdom.
Susan C ShelmerdineDepartment of Clinical Radiology, Great Ormond Street Hospital for Children, London, United Kingdom.
Henry David Jeffry HoggUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom.
Alastair K DennistonCollege of Medicine and Health, University of Birmingham, Birmingham, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Procurement carries legal requirements across public services in the UK but, for stakeholders in clinical Artificial Intelligence (AI) innovation, it is often poorly understood. This perspective piece summarises insights from a cross-sector workshop exploring the role of procurement frameworks in supporting AI innovation in the National Health Service (NHS). The significant characteristics of AI from a procurement perspective are identified and their consequences are explored. The workshop identified challenges including visibility of AI procurement processes, uncertainty in the value in AI products, process inefficiencies, sustainability and framework design. Opportunities relating to AI procurement were also identified. These insights highlight the potential for procurement frameworks to enable responsible AI innovation in healthcare but acknowledge the need for collaborative efforts from a range of stakeholders to overcome the difficulties experienced by many to date.

Indexed as

artificial intelligenceframeworksimplementationNational Health Serviceprocurement

Identifiers

PMID40538862
PMCPMC12176890

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.