Evidence map›Paper›PMID 40903732›Full record

ArticleBMC health services research2025

Implementation of a digital coordination centre in a hospital: a qualitative evaluation of enablers, barriers and strategies.

Louise Shaw, Sam Freeman, Sarah Aranha, Adam Boulton, Daniel Capurro, Wendy Chapman, Tim Fazio, Jana Gazarek, Meredith Layton, Kayley Lyons and 2 more

Abstract read
In one paragraph

Article in BMC health services research, 2025. 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

12 authors.

Louise ShawCentre for Digital Transformation of Health, University of Melbourne, Parkville, Melbourne, VIC, 3052, Australia.ORCID http://orcid.org/0000-0001-8188-2313
Sam FreemanAustralian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, North Ryde, Sydney, NSW, 2113, Australia.ORCID http://orcid.org/0000-0002-8193-6454
Sarah AranhaRoyal Melbourne Hospital, 300 Grattan Street, Parkville, Melbourne, VIC, 3052, Australia.
Adam BoultonRoyal Melbourne Hospital, 300 Grattan Street, Parkville, Melbourne, VIC, 3052, Australia.ORCID http://orcid.org/0009-0003-0108-1607
Daniel CapurroCentre for Digital Transformation of Health, University of Melbourne, Parkville, Melbourne, VIC, 3052, Australia.ORCID http://orcid.org/0000-0002-9256-1256
Wendy ChapmanCentre for Digital Transformation of Health, University of Melbourne, Parkville, Melbourne, VIC, 3052, Australia.
Tim FazioCentre for Digital Transformation of Health, University of Melbourne, Parkville, Melbourne, VIC, 3052, Australia.ORCID http://orcid.org/0000-0003-1700-2355
Jana GazarekPeninsula Health, Executive Suite, Frankston Vic, 3199, Australia.
Meredith LaytonCentre for Digital Transformation of Health, University of Melbourne, Parkville, Melbourne, VIC, 3052, Australia.
Kayley LyonsCentre for Digital Transformation of Health, University of Melbourne, Parkville, Melbourne, VIC, 3052, Australia.ORCID http://orcid.org/0000-0003-2224-1107
Sam PlumbRoyal Melbourne Hospital, 300 Grattan Street, Parkville, Melbourne, VIC, 3052, Australia.
Brad AstburyCentre for Health Policy, University of Melbourne, Parkville, Melbourne, VIC, 3052, Australia. brad.astbury@unimelb.edu.au.ORCID http://orcid.org/0000-0001-6832-4472

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital Coordination Centres (DCCs) represent an innovative approach in hospital settings, designed to enhance patient flow, operational efficiency, and real-time decision-making. While their potential is widely recognised, there is limited understanding of the factors influencing their implementation. This study evaluated the implementation of a DCC in a large Australian hospital, with a focus on identifying enablers, barriers, and strategies for improvement.

methodsA process evaluation was conducted during Phase 1 of the DCC's implementation. Forty-two semi-structured interviews were undertaken with staff and stakeholders involved in, or affected by, the DCC. Thematic analysis was guided by the Consolidated Framework for Implementation Research (CFIR), to identify key influences on implementation and to identify strategies for ongoing improvement and future scalability.

resultsKey enablers included strong leadership, system adaptability, and improved communication across services. Barriers involved data accuracy, system integration, and initial staff resistance -particularly around role clarity and perceived surveillance, which participants suggested could be addressed through enhanced training, role refinement, and strengthened feedback mechanisms. The CFIR provided a useful lens for structuring analysis but required adaptation to address overlapping constructs and digital-specific barriers.

conclusionsThis study offers practical insights into the implementation of a hospital-based DCC and demonstrates the value and challenges of using CFIR to evaluate complex digital health innovations. Findings highlight the importance of adaptable design, sustained leadership, continuous evaluation, and stakeholder-driven refinement. These insights can guide the successful implementation and scaling of digital coordination solutions in similarly complex healthcare environments.

Indexed as

Hospital AdministrationAustraliaDecision MakingEfficiency, OrganizationalHumansInterviews as TopicQualitative ResearchBarriersCFIRDigital coordination centre; hospital command centre; digital health implementation; digital innovationEnablersImplementation strategies

Identifiers

PMID40903732
PMCPMC12406436

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.