Evidence map›Paper›PMID 40718761›Full record

ReviewJAMIA open2025

Clinical and economic impact of digital dashboards on hospital inpatient care: a systematic review.

Enrico Coiera, Anastasia Chan, Kalissa Brooke-Cowden, Hania Rahimi-Ardabili, Nicole Halim, Catalin Tufanaru

Abstract readReview
In one paragraph

Review in JAMIA open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
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  5. Review
  6. 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

6 authors.

Enrico CoieraCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW 2109, Australia.ORCID https://orcid.org/0000-0002-6444-6584
Anastasia ChanCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW 2109, Australia.ORCID https://orcid.org/0000-0003-0850-8936
Kalissa Brooke-CowdenCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW 2109, Australia.ORCID https://orcid.org/0000-0003-1209-2961
Hania Rahimi-ArdabiliCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW 2109, Australia.ORCID https://orcid.org/0000-0002-3555-9416
Nicole HalimCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW 2109, Australia.
Catalin TufanaruCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW 2109, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Digital dashboards are used to monitor patients and improve inpatient outcomes in hospital settings. A systematic review assessed the impact of dashboards across five outcomes of hospital mortality, hospital length of stay (LOS), economic impacts, harms, and patient and carer satisfaction. Materials and Methods: Nine databases were searched from inception to May 2024. Studies were included if they reported primary quantitative research on dashboard interventions in hospital settings, were in English, and measured effectiveness for patients, caregivers, healthcare professionals or services. Data synthesis was performed via narrative review. Risk of bias was measured using Cochrane ROBINS-I and RoB 2. Results: We identified 5755 articles, and 70 met inclusion criteria. Of 20 findings reporting mortality (16 studies), five reported a decrease, whilst the majority ( Discussion: Hospital dashboards do appear associated with either no change or a reduction in mortality, reduced costs, reduced LOS, and improved patient and caregiver satisfaction with care. Association with harms was equivocal. Conclusion: While there is evidence of potential benefits, actual impacts of hospital digital dashboard will likely be dependent on multiple local factors such as workflow integration.

Indexed as

dashboard systemsdatabase management systemshospital costshospitalshospital stay

Identifiers

PMID40718761
PMCPMC12296400

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.