Evidence map›Paper›PMID 39543610›Full record

ArticleBMC health services research2024

The digitalization of emergency department triage: the perspectives of health professionals and patients.

Chiara Morlotti, Mattia Cattaneo, Stefano Paleari, Filippo Manelli, Francesco Locati

Abstract read
In one paragraph

Article in BMC health services research, 2024. 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. Review
  2. Article
  3. Article
  4. Article
  5. [Status quo of leading emergency physician deployment : A nationwide survey].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2026
    Article
  6. Review
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

5 authors.

Chiara MorlottiDepartment of Management, Information, and Production Engineering, University of Bergamo, Via Pasubio 7/B, Dalmine, 24027, BG, Italy. chiara.morlotti@unibg.it.
Mattia CattaneoDepartment of Management, Information, and Production Engineering, University of Bergamo, Via Pasubio 7/B, Dalmine, 24027, BG, Italy.
Stefano PaleariDepartment of Management, Information, and Production Engineering, University of Bergamo, Via Pasubio 7/B, Dalmine, 24027, BG, Italy.
Filippo ManelliASST Bergamo Est, Via Paderno, 21, Seriate, 24068, BG, Italy.
Francesco LocatiASST Papa Giovanni XXIII, Piazza OMS 1, Bergamo, 24127, BG, Italy.

Funding

AdvaNced Technologies for Human-centrEd Medicine (ANTHEM) PNC0000003
6 · The paper itself

Abstract

backgroundDigitalization in the healthcare sector offers several organizational advantages, ranging from enhanced service quality to cost savings. However, its adoption often progresses slowly and faces challenges, especially in critical settings like emergency departments, requiring prompt, clear, and efficient communication. As such, this study aims to comprehensively assess the factors influencing the preference for digitalized tools over traditional methods from the perspectives of both service providers and users.

methodsWe employ two ad hoc stated preference surveys in which we ask respondents to reveal their preference in simulated triage scenarios. Three main alternatives are proposed: traditional procedures, a fully digitalized solution with no direct patient-professional interaction, and a hybrid option that combines traditional and digital aspects. Scenarios and alternatives vary according to predetermined attributes, selected among the features acknowledged to impact the triage efficiency and efficacy: the possibility to communicate in a known language, the completeness of information retrieved from the patient, the time dedicated to triage activity, and the level of privacy. Responses are analyzed by means of discrete choice models.

resultsOur findings reveal a preference for the hybrid approach, wherein patients use digital tools to input relevant information, followed by an interview with healthcare professionals. Nevertheless, distinct alternative- and case-specific features can favor the preference toward other kinds of triage. Respondents prefer shorter triage times and the opportunity to interact in a known language, while the level of privacy does not significantly impact their choices. Interestingly, the presence of an algorithm assigning urgency code diminishes the probability that healthcare professionals select the fully digitalized option.

conclusionsThis study provides important insight into the utilization of digital tools in emergency departments. The results can be used by hospital managers and policy makers to develop digital tools that meet the needs of both users and healthcare professionals. This, in turn, may result in cost savings and improved quality of service.

Indexed as

Emergency Service, HospitalTriageAdultAttitude of Health PersonnelFemaleHealth PersonnelHumansMaleMiddle AgedPatient PreferenceSurveys and QuestionnairesChoice modelingDigital healthDigitalizationEmergency departmentStated preferencesTriage

Identifiers

PMID39543610
PMCPMC11566660

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.