Evidence map›Paper›PMID 40964822›Full record

ArticleHealth information management : journal of the Health Information Management Association of Australia2026

The Australian and New Zealand Massive Transfusion Registry: An innovation focusing on data collection, standardisation and interoperability between healthcare systems.

Rosemary L Sparrow, Helen E Haysom, Joanna Bao-Ern Loh, Kirsten Caithness, Karthik Mandapaka, Cameron Wellard, Zoe K McQuilten, Erica M Wood

Abstract read
In one paragraph

Article in Health information management : journal of the Health Information Management Association of Australia, 2026. 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. The intersection of health information management and clinical registries.Health information management : journal of the Health Information Management Association of Australia · 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

8 authors.

Rosemary L SparrowMonash University, Australia.ORCID 0000-0002-6689-2983
Helen E HaysomMonash University, Australia.
Joanna Bao-Ern LohMonash University, Australia.ORCID 0000-0001-9253-6635
Kirsten CaithnessMonash University, Australia.ORCID 0009-0007-6270-9727
Karthik MandapakaMonash University, Australia.ORCID 0009-0000-2547-3670
Cameron WellardMonash University, Australia.ORCID 0000-0002-6115-5394
Zoe K McQuiltenMonash University, Australia.ORCID 0000-0001-9698-7185
Erica M WoodMonash University, Australia.ORCID 0000-0001-7527-2340

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBlood transfusion is a common medical intervention. For patients with acute critical bleeding, large volume "massive" transfusion (MT) is required, and is potentially life-saving. However, the evidence-base for transfusion practice, particularly for critical bleeding/MT management, is relatively weak, and has confounded the development of clinical best practice recommendations.

aimThe aim was to address this evidence gap by building the Australian and New Zealand Massive Transfusion Registry (ANZ-MTR). We describe how data collection, standardisation and interoperability of data sourced from multiple electronic information systems are managed, and share the lessons learned. INNOVATION: The ANZ-MTR is a database of routine electronic hospital admission information, laboratory test results, transfusion records and outcomes of adults (18 years and older) who have received a MT for any cause of acute critical bleeding, including trauma, major surgery, obstetric or gastrointestinal haemorrhage. Source data are provided by participating hospitals and are harmonised by the registry. Since its launch in 2011, the ANZ-MTR has captured over 9200 MT episodes from 29 hospitals.What can be learned from this case:Effective communication with all custodians of the source data has been fundamental to the success of the registry. A preeminent outcome of this success is the current expansion of the registry to become the National Transfusion Dataset, which will capture comprehensive data for all transfusions.Implications for health information management practice:The ANZ-MTR illustrates that complex and varied arrays of routinely collected clinical and hospital administrative data from multiple electronic information systems can be consolidated into a resource-rich clinical database.

Indexed as

Blood TransfusionData CollectionHealth Information InteroperabilityRegistriesAustraliaHemorrhageHumansNew Zealandbloodcritical bleedingdata collectionelectronic health recordshealth information managementmassive transfusionpatientsregistrytransfusion

Identifiers

PMID40964822
PMCPMC12756522

What OpenQuestion holds

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Registered trials

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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.