Evidence map›Paper›PMID 41146743›Full record

ArticleCritical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine2025

Building the future of ICU care: Is our digital foundation strong enough? A multicentre survey of Australian and New Zealand intensive care units.

Kristen S Gibbons, Renate Le Marsney, Andrew Goodwin, Rayna Reddy, Patricia Gilholm, David Pilcher, Ben Gelbart, Australian and New Zealand Intensive Care Society Paediatric Study Group (ANZICS PSG)

Abstract read
In one paragraph

Article in Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine, 2025. 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. Research priorities for intensive care: A stakeholder-informed priority-setting partnership.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 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.

Kristen S GibbonsChildren's Intensive Care Research Program, Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia.
Renate Le MarsneyChildren's Intensive Care Research Program, Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia.
Andrew GoodwinSchool of Biomedical Engineering, University of Sydney, Sydney, NSW, Australia.
Rayna ReddyChildren's Intensive Care Research Program, Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia.
Patricia GilholmChildren's Intensive Care Research Program, Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia.
David PilcherAlfred Health, Melbourne, VIC, Australia.
Ben GelbartPaediatric Intensive Care Unit, Royal Children's Hospital, Parkville, VIC, Australia.
Australian and New Zealand Intensive Care Society Paediatric Study Group (ANZICS PSG)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The objective of this study was to assess data-related resources, infrastructure, and capabilities in Australia and New Zealand (ANZ) intensive care units (ICUs). Design: Electronic multicentre survey was conducted. Setting: ANZ ICUs between June and October 2024. Participants: All ANZ ICUs contributing to the Australian and New Zealand Intensive Care Society Adult Patient Database and/or Australian and New Zealand Paediatric Intensive Care Registry were included in this study. Interventions: There are none to declare. Main outcome measures: The main outcome measures included types of medical records, digital data capture and research availability, digital enhancement plans, staffing, and research collaboration. Results: Of 209 ICUs, 112 (54%) responded; 13 paediatric, 21 mixed, and 78 adult ICUs, with responses from all ANZ jurisdictions. Overall, 59% used paper records (5 paediatric and 61 mixed/adult), 28% digitised (7 paediatric and 24 mixed/adult), and 59% electronic health records (EHRs; 10 paediatric and 56 mixed/adult), with most EHRs introduced within the last decade (76%). In units with an EHR, 59% collected data secondly or minutely in the EHR and >75% collected EHR data on patient demographics, clinical notes, laboratory results, medications, fluids, bedside monitors, and respiratory support devices. Data Managers were employed within 45% of ICUs, with 96% able to extract data for audit and 92% for research. Respondents reported frustrations with delayed EHR implementation and limited data extraction mechanisms. Conclusions: Substantial variability exists across ANZ ICUs in digital health adoption, data capture, and data management resources. Quantifying differences in digital information, improving data extraction, and building collaborative networks are key steps for supporting research and innovation across units.

Indexed as

Digital healthElectronic health recordHealth informaticsIntensive care

Identifiers

PMID41146743
PMCPMC12554109

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.