Evidence map›Paper›PMID 40494819›Full record

ArticleBritish journal of haematology2025

Unlocking the potential of electronic blood transfusion systems: Implementation insights from NHS hospitals in England.

F Tomini, S Staples, H Evans, H Farabi, M F Murphy, L Green, P Dhiman, G Fabiano, A J R Palmer, L von Neree and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in British journal of haematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. 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

12 authors.

F TominiWolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID https://orcid.org/0000-0003-2220-5210
S StaplesBlood Stocks Management Scheme, NHS Blood and Transplant, Filton, Bristol, UK.
H EvansNIHR Blood and Transplant Research Unit in Data-Driven Transfusion Practice, Nuffield Division of Clinical Laboratory Sciences, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0003-2396-1659
H FarabiWolfson Institute of Population Health, Queen Mary University of London, London, UK.
M F MurphyNIHR Blood and Transplant Research Unit in Data-Driven Transfusion Practice, Nuffield Division of Clinical Laboratory Sciences, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-2375-7503
L GreenWolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID https://orcid.org/0000-0003-4063-9768
P DhimanNuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
G FabianoNuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
A J R PalmerNuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
L von NereeNIHR Blood and Transplant Research Unit in Data-Driven Transfusion Practice, Nuffield Division of Clinical Laboratory Sciences, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
L SherlikerBlood Stocks Management Scheme, NHS Blood and Transplant, Filton, Bristol, UK.
S J StanworthNIHR Blood and Transplant Research Unit in Data-Driven Transfusion Practice, Nuffield Division of Clinical Laboratory Sciences, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-7414-4950

Funding

National Institute for Health and Care Research (NIHR) NIHR203334
6 · The paper itself

Abstract

Electronic blood transfusion (EBT) systems have the potential to significantly enhance patient safety and healthcare efficiency. Although national guidelines recommend their implementation, widespread adoption requires addressing gaps in evidence regarding cost-effectiveness and clinical impact. This study assessed EBT implementation in English hospitals via a 2023 survey focusing on three key components: (i) electronic blood fridges (EBFs) for traceability and stock management, (ii) electronic blood ordering systems with clinical decision support (CDSS) and (iii) bedside patient identification (PID) systems. The survey also examined EBT integration with electronic health records (EHRs) and inter-hospital record linkages. Among 206 surveyed hospitals, 114 responded, resulting in a 55.6% response rate. Of the responding sites, 76 (67.3%) had implemented at least one EBT component. EBFs were the most adopted technology (65 sites; 57.5%), followed by bedside identification systems (37 sites; 32.7%). Advanced systems like CDSS were implemented in only 16 sites (14.2%). Barriers to adoption included financial constraints, limited senior management engagement and technical challenges. Our results show variability in EBT system adoption across NHS England hospitals. There is a pressing need for cost-effectiveness analyses to support investment decisions, while evidence of clinical effectiveness is needed to justify advanced EBT systems and overcome organisational barriers.

Indexed as

Blood TransfusionElectronic Health RecordsDecision Support Systems, ClinicalEnglandHospitalsHumansState MedicineSurveys and Questionnairesdigital technologyelectronic blood transfusion systemshealth IT integrationimplementation factorsNHS England

Identifiers

PMID40494819
PMCPMC12234281

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.