Evidence map›Paper›PMID 41724497›Full record

ArticleVox sanguinis2026

Transforming transfusion safety: Insights from implementing bedside electronic checks at a large UK National Health Service trust.

Florence Oyekan, Montasir Ahmed, Catherine Booth, Louise Bowles, Ollie Djurdjevic, Yan Feng, Claudio Geraci, Laura Green, Kirsty Hancock, Suzanne Makki and 4 more

Abstract read
In one paragraph

Article in Vox sanguinis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. Blood transfusion: Not always as safe as you think.British journal of haematology · 2026
    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.

Florence OyekanBarts Health NHS Trust, London, UK.
Montasir AhmedWolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID https://orcid.org/0000-0003-0523-5880
Catherine BoothBarts Health NHS Trust, London, UK.
Louise BowlesBarts Health NHS Trust, London, UK.
Ollie DjurdjevicBarts Health NHS Trust, London, UK.
Yan FengWolfson Institute of Population Health, Queen Mary University of London, London, UK.
Claudio GeraciBarts Health NHS Trust, London, UK.
Laura GreenBarts Health NHS Trust, London, UK.ORCID https://orcid.org/0000-0003-4063-9768
Kirsty HancockBarts Health NHS Trust, London, UK.
Suzanne MakkiBarts Health NHS Trust, London, UK.
Helinor McAleeseBarts Health NHS Trust, London, UK.
Michael F MurphyNHS Blood and Transplant, London, UK.ORCID https://orcid.org/0000-0002-2375-7503
Nathan ProudloveAlliance Manchester Business School, University of Manchester, Manchester, UK.ORCID https://orcid.org/0000-0002-1176-8088
Josephine McCullaghBarts Health NHS Trust, London, UK.ORCID https://orcid.org/0000-0002-4598-1979

Funding

Barts Charity MGU0602 & G-002228NHS Charities Together
6 · The paper itself

Abstract

BACKGROUND AND

objectivesBedside electronic transfusion checks (BETC) enhance transfusion safety by reducing errors associated with manual processes. Despite national recommendations, BETC adoption in the United Kingdom remains limited. This study reports on the implementation of BETC at four hospitals at Barts Health NHS Trust, aiming to share insights on the implementation process. MATERIALS AND

methodsThe main implementation was split into three phases: (1) pre-pilot, (2) pilot and (3) main implementation (2022-2025). Staff surveys on training satisfaction and key performance indicators (KPIs) on transfusion activity were used to evaluate the uptake of the BETC system. Statistical process control (SPC) charts were used to identify trends, variation and patterns in the data following the implementation of BETC.

resultsA total of 5079 staff were trained and 404 personal digital assistant (PDA) devices deployed across four hospitals. Early implementation highlighted that training 60% of staff was insufficient for optimal system use, increasing this threshold to 80% improved adoption. BETC was initially more commonly used for blood administration than group and screen (G&S) sample labelling. Over time, increased usage of BETC for G&S labelling correlated with a marked reduction in sample rejection rates across all sites. Staff reported high satisfaction with training, with 99.5% rating it positively.

conclusionEarly adopters played a pivotal role, but achieving widespread adoption required extended training and support. Addressing technical and workflow barriers, coupled with mandatory system use, could enhance the speed of impact of BETC. These insights offer guidance for future adopters aiming to improve transfusion safety and efficiency.

Indexed as

Blood SafetyBlood TransfusionHumansPilot ProjectsState MedicineUnited Kingdombedside electronic transfusion checks (BETC)clinical workflow integrationhealthcare technology implementationquality improvementstaff training and engagementtransfusion safety

Identifiers

PMID41724497
PMCPMC12982001

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.