Evidence map›Paper›PMID 42154518›Full record

ArticleTransfusion2026

Electronic patient blood management monitoring using routine health record data: A proof-of-principle study monitoring perioperative tranexamic acid use.

Muhammad Naim Che Rahimi, Paolo Polzella, Mehir Amin, Gardash Bakhishli, Simon Godley, Michael F Murphy, Simon J Stanworth, Hayley G Evans

Abstract read
In one paragraph

Article in Transfusion, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Muhammad Naim Che RahimiDepartment of Hematology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Paolo PolzellaDepartment of Hematology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Mehir AminORBIT, Data & Analytics, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Gardash BakhishliNIHR Blood & Transplant Research Unit in Data-Driven Transfusion Practice, Oxford, UK.
Simon GodleyORBIT, Data & Analytics, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Michael F MurphyDepartment of Hematology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.ORCID https://orcid.org/0000-0002-2375-7503
Simon J StanworthDepartment of Hematology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.ORCID https://orcid.org/0000-0002-7414-4950
Hayley G EvansNIHR Blood & Transplant Research Unit in Data-Driven Transfusion Practice, Oxford, UK.ORCID https://orcid.org/0000-0003-2396-1659

Funding

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

Abstract

backgroundMonitoring Patient Blood Management (PBM) practices against evidence-based standards is essential for quality improvement; however, current approaches are limited. In the UK, perioperative tranexamic acid (TXA) use is a national quality standard, yet monitoring relies on manual audit cycles that are resource-intensive and limited in scope. We evaluated whether an audit could be automated using routinely collected electronic health record (EHR) data.

methodsWe performed a retrospective study at a tertiary NHS center using linked perioperative and transfusion datasets. Automated compliance indicators were constructed using coded procedures (denominator) and digitally documented TXA administration from WHO Surgical Safety Checklists and electronic prescribing records (numerator). A structured validation framework assessed data extractability, completeness, denominator coverage, coding accuracy, and concordance between electronic sources. Outputs were assessed by specialty and procedure and compared with contemporaneous manual audit findings.

resultsBetween July-September 2025, 800 eligible procedures were identified. Comparison with an independent dataset demonstrated procedural coverage of 96.2% and miscoding rate of 3.9%. Overall automated TXA compliance was 86.3%. Concordance between WHO checklist and electronic prescription was 74.2%, with explainable discordance patterns. Substantial inter-specialty variation was identified, ranging from 98.2% (trauma and orthopedics) to 0% (vascular surgery). Compared with October-December 2024, overall compliance increased by 7.6%. DISCUSSION: Automated EHR-based audit of perioperative TXA compliance is feasible and demonstrates good validity. Structured validation confirmed data reliability, and full-population extraction revealed granular specialty- and procedure-level variation, likely undetectable by manual audits, supporting its wider evaluation as a continuous PBM quality monitoring tool.

Indexed as

Antifibrinolytic AgentsElectronic Health RecordsPerioperative CareTranexamic AcidBlood TransfusionFemaleHumansMaleRetrospective StudiesUnited KingdomAntifibrinolytic AgentsTranexamic Acidauditelectronic health recordsNICE quality standardpatient blood managementquality improvementtranexamic acid

Identifiers

PMID42154518
PMCPMC13452614

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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.