Evidence map›Paper›PMID 41586157›Full record

ArticleJAMIA open2026

EmergInsight: a real-time dashboard for optimizing emergency care through data visualization and analytics.

Francesco Branda, Vincenzo Andretta, Mohamed Mustaf Ahmed, Antonio Rizzelli, Valentina Cerrone, Giovanni Boccia, Giancarlo Ceccarelli, Fabio Scarpa, Massimo Ciccozzi

Abstract read
In one paragraph

Article in JAMIA open, 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

9 authors.

Francesco BrandaUnit of Medical Statistics and Molecular Epidemiology, Campus Bio-Medico University of Rome, Rome, 00128, Italy.ORCID https://orcid.org/0000-0002-9485-3877
Vincenzo AndrettaDepartment of Medicine, Surgery and Dentistry-Salerno Medical School, University of Salerno, Fisciano, 84084, Italy.
Mohamed Mustaf AhmedFaculty of Medicine and Health Sciences, SIMAD University, Mogadishu, 252, Somalia.ORCID https://orcid.org/0009-0006-5991-4052
Antonio RizzelliResearch and Development Manager and Qlik Specialist, Ethica System Srl, Capurso, 70010, Italy.
Valentina CerroneUniversity Clinical Oncology Unit, University Hospital 'San Giovanni Di Dio e Ruggi D'Aragona', Salerno, 84131, Italy.
Giovanni BocciaDepartment of Medicine, Surgery and Dentistry-Salerno Medical School, University of Salerno, Fisciano, 84084, Italy.
Giancarlo CeccarelliDepartment of Public Health and Infectious Diseases, University of Rome Sapienza, Rome, 00185, Italy.ORCID https://orcid.org/0000-0001-5921-3180
Fabio ScarpaDepartment of Biomedical Sciences, University of Sassari, Sassari, 07100, Italy.
Massimo CiccozziUnit of Medical Statistics and Molecular Epidemiology, Campus Bio-Medico University of Rome, Rome, 00128, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The fragmentation of healthcare data in Italy and the increase in demand in emergency departments (EDs) require innovative solutions to improve operational flows, quality of care, and decision-making. This study presents EmergInsight, a prototype interactive real-time dashboard designed to optimize ED operations through the visualization and analysis of clinical and operational data. Materials and Methods: EmergInsight was tested on data from the "San Giovanni di Dio e Ruggi d'Aragona" University Hospital (Salerno, Italy) from 2022 to 2023. The dashboard integrates performance indicators, geospatial maps, trend analysis, and predictive tools, structured into four modules focused on operational efficiency, acuity management, resource utilization, and demand forecasting. Results: EmergInsight revealed seasonal access patterns, high green code prevalence, early dropouts, and frequent Intensive Short Observation (OBI) use in elderly patients. Geographic maps identified high-care demand areas, while the predictive module provided timely and reliable forecasts of patient access. Discussion and Conclusion: EmergInsight facilitates proactive ED management, improving resource allocation and supporting data-driven decisions.

Indexed as

decision support systemsemergency departmenthealthcare dashboardhealth informaticsreal-time analytics

Identifiers

PMID41586157
PMCPMC12824725

What OpenQuestion holds

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LicenceCC BY
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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.