Evidence map›Paper›PMID 42835713›Full record

ReviewArchives of academic emergency medicine2026

Performance Indicators in Emergency Medical Services: A Scoping Review of Dashboard Applications in the Context of Crisis Management.

Shiva Karimi, Hassan Emami, Farkhondeh Asadi, Milad Ahmadi Marzaleh, Ali Delpisheh, Mojtaba Pourmehdi

Abstract readReview
In one paragraph

Review in Archives of academic emergency medicine, 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

6 authors.

Shiva KarimiDepartment of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hassan EmamiDepartment of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Farkhondeh AsadiDepartment of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Milad Ahmadi MarzalehDepartment of Health in Disasters and Emergencies, Health Human Resources Research Center, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Ali DelpishehSchool of Health & Safety, Safety Promotion and Injury Prevention Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mojtaba PourmehdiDepartment of Health Information Management, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Emergency medical services (EMS) are critical for responding to crises and mass casualty incidents (MCIs). Rapid decision-making and effective patient flow management are essential for improving survival. Digital technologies-particularly dashboards-enable real-time monitoring of performance indicators and data-driven decision-making. This scoping review aimed to identify and classify key performance indicators (KPIs) used in EMS and to examine the role of dashboards in monitoring these indicators in both routine and crisis conditions. Methods: A systematic search was conducted in PubMed, Scopus, Embase, and Web of Science from inception to January 2026, supplemented by gray literature. Two independent reviewers screened titles/abstracts and full texts. Data were extracted using a standardized form and synthesized narratively in accordance with PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. Results: Twenty-six studies were included. KPIs were categorized using the Donabedian model into structure (resources), process (response time, triage, coordination), and outcome (survival, satisfaction). Time-based indicators were most frequent. Eight studies (31%) reported dashboards, all in routine operations. Eight studies (31%) used real-time feedback devices (not classified as dashboards), and ten studies (38%) employed other digital tools. Only one study addressed crisis conditions, and it did not use a dashboard. Conclusion: Dashboards are predominantly applied in routine EMS operations, with very limited evidence in crisis contexts. Developing crisis-specific, context-adaptive dashboards and standardized indicators should be prioritized to support decision-making and coordination in emergencies and disasters.

Indexed as

Crisis ManagementDashboardsEmergency Medical ServicesPerformance Indicators

Identifiers

PMID42835713
PMCPMC13637433

What OpenQuestion holds

Textmetadata
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.