Evidence map›Paper›PMID 35722407›Full record

ArticleAnnals of translational medicine2022

Emergency department treatment process planning: a field research, case analysis, and simulation approach.

Xiaoyan Huang, Shuai Zhou, Xudong Ma, Zhitao Yang, Yuanyuan Xu, Xiaoxiao Shen, Zengni Zhang, Guang Ning, Erzhen Chen, Na Li and 1 more

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In one paragraph

Article in Annals of translational medicine, 2022. 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
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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

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5 · Who and what money

Authors and funding

11 authors.

Xiaoyan Huang *Department of Director's Office, Ruijin Hospital, Luwan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shuai Zhou *Division of Medical Affairs, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Xudong Ma *Department of Medical Administration, National Health Commission of the People's Republic of China, Beijing, China.
Zhitao YangDivision of Medical Affairs, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yuanyuan XuGeneral Office, Shanghai Hospital Association, Shanghai, China.
Xiaoxiao ShenDepartment of Industrial Engineering and Management, School of Mechanical and Engineering, Shanghai Jiao Tong University, Shanghai, China.
Zengni ZhangDepartment of Industrial Engineering and Management, School of Mechanical and Engineering, Shanghai Jiao Tong University, Shanghai, China.
Guang NingDepartment of Endocrinology and Metabolism, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Erzhen ChenShanghai Venous Thromboembolism Alliance, Shanghai, China.
Na LiDepartment of Industrial Engineering and Management, School of Mechanical and Engineering, Shanghai Jiao Tong University, Shanghai, China.
Yong LuDepartment of Director's Office, Ruijin Hospital, Luwan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The coronavirus disease 2019 (COVID-19) has forced accelerated optimization of Emergency Department (ED) process, and simulation tools offer an alternative approach to strategic assessment and selection. Methods: Field research and case analysis methods were used to obtain the treatment process and medical records information from the ED of a general hospital. Minitab was used for analysis of the measurement system, and Arena was applied for simulation modelling. We established a framework for the triage protocol of ordinary and quarantined patients, analysed bottlenecks in the treatment time of the hospital's ED, and proposed an optimised management strategy. Results: The computed tomography (CT) pre-scheduling strategy simulation results demonstrated that longer CT room preparation times for quarantined people before their arrival (T Conclusions: Simulation tools are an alternative method for strategic evaluation and selection that do not require external factors.

Indexed as

coronavirus disease 2019 (COVID-19) epidemicCT testingemergency department (ED)nucleic acid detection testSimulation

Identifiers

PMID35722407
PMCPMC9201160

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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.