Evidence map›Paper›PMID 30974731›Full record

ArticleInternational journal of environmental research and public health2019

Performance Analysis of Emergency Room Episodes Through Process Mining.

Eric Rojas, Andres Cifuentes, Andrea Burattin, Jorge Munoz-Gama, Marcos Sepúlveda, Daniel Capurro

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 4% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Process Mining-Supported Emergency Room Process Performance Indicators.International journal of environmental research and public health · 2020
    Article
  6. A Review of Various Methods of Management of Risk in the Field of Emergency Medicine.Open access Macedonian journal of medical sciences · 2019
    Review
  7. Performance Analysis of Emergency Room Episodes Through Process Mining.International journal of environmental research and public health · 2019
    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 at 2 institutions in 2 countries.

Eric RojasDepartment of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile. eric.rojas@uc.cl.ORCID 0000-0002-2570-1861
Andres CifuentesDepartment of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile. alcifuen@uc.cl.
Andrea BurattinSoftware and Process Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark. andbur@dtu.dk.ORCID 0000-0002-0837-0183
Jorge Munoz-GamaDepartment of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile. jmun@uc.cl.ORCID 0000-0002-6908-3911
Marcos SepúlvedaDepartment of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile. marcos@ing.puc.cl.ORCID 0000-0002-9467-7666
Daniel CapurroDepartment of Internal Medicine, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile. dcapurro@med.puc.cl.
Pontificia Universidad Católica de Chile · CLTechnical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The performance analysis of Emergency Room episodes is aimed at providing decision makers with knowledge that allows them to decrease waiting times, reduce patient congestion, and improve the quality of care provided. In this case study, Process Mining is used to determine which activities, sub-processes, interactions, and characteristics of episodes explain why some episodes have a longer duration. The employed method and the results obtained are described in detail to serve as a guide for future performance analysis in this domain. It was discovered that the main cause of the increment in the episode duration is the occurrence of a loop between the Examination and Treatment sub-processes. It was also found out that as the episode severity increases, the number of repetitions of the Examination-Treatment loop increases as well. Moreover, the episodes in which this loop is more common are those that lead to Hospitalization as discharge destination. These findings might help to reduce the occurrence of this loop, in turn lowering the episode duration and, consequently, providing faster attention to more patients.

Indexed as

Data MiningDelivery of Health CareEmergency Service, HospitalHospitalizationHumansQuality of Health CareEmergency RoomhealthcareProcess Mining

Identifiers

PMID30974731
PMCPMC6480699
OpenAlexW2940014805

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.