Evidence map›Paper›PMID 34696759›Full record

ArticleBMC medical informatics and decision making2021

The impact of the emergency medical services (EMS) automation system on patient care process and user workflow.

Faezeh Afzali, Yunes Jahani, Fatemeh Bagheri, Reza Khajouei

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2021. 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

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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.

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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

4 authors.

Faezeh AfzaliDepartment of Health Information Sciences, Faculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran.
Yunes JahaniModeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Fatemeh BagheriDepartment of Health Information Sciences, Faculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran.
Reza KhajoueiDepartment of Health Information Sciences, Faculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran. r.khajouei@kmu.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the important components of the health system is the emergency medical services (EMS) system. The EMS system was implemented at Kerman University of Medical Sciences teaching hospitals to communicate the situation of patients being transferred to the hospital by EMS and to provide facilities tailored to the patient's condition. The objective of this study was to investigate the impact of the EMS system on the patient care process and the workflow of users.

methodsThe hospital information system (HIS) report was used to investigate the impact of the EMS system on the patient care process and a questionnaire was distributed among 244 participants to determine its impact on the workflow of the users. Mann-Whitney U was used to analyze HIS reports, and Chi-square was used to analyze the data collected by questionnaires.

resultsThe EMS system reduced the patient's stay in hospital by an average of 3 h and 45 min. It also increased the number of patients' discharge from the emergency room to 2.2% and reduced the death rate by 1.3% (p < 0.001). Besides, 78% of physicians, 75% of nurses and 83% of technicians stated that this system has positively influenced their workflow.

conclusionsThe EMS system reduced the patient's stay in hospital and mortality, and increased the speed of patient service, readiness of users to provide patient care and the number of discharged patients. However, problems such as inappropriate technical infrastructure of the EMS system should be solved to improve patients' recovery, reduce mortality and improve user satisfaction.

Indexed as

Emergency Medical ServicesAutomationEmergency Service, HospitalHumansPatient CareWorkflowEmergency medical servicesPatient care processUserWorkflow

Identifiers

PMID34696759
PMCPMC8543780

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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.