• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

建立急诊拥挤模型:恢复急诊医学供需平衡。

Modeling Emergency Department crowding: Restoring the balance between demand for and supply of emergency medicine.

机构信息

Programme in Health Services and Systems Research, Duke-NUS Medical School, Singapore City, Singapore.

Operations & Performance Management, Singapore General Hospital, Bukit Merah, Singapore City, Singapore.

出版信息

PLoS One. 2021 Jan 12;16(1):e0244097. doi: 10.1371/journal.pone.0244097. eCollection 2021.

DOI:10.1371/journal.pone.0244097
PMID:33434228
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7802975/
Abstract

Emergency Departments (EDs) worldwide are confronted with rising patient volumes causing significant strains on both Emergency Medicine and entire healthcare systems. Consequently, many EDs are in a situation where the number of patients in the ED is temporarily beyond the capacity for which the ED is designed and resourced to manage-a phenomenon called Emergency Department (ED) crowding. ED crowding can impair the quality of care delivered to patients and lead to longer patient waiting times for ED doctor's consult (time to provider) and admission to the hospital ward. In Singapore, total ED attendance at public hospitals has grown significantly, that is, roughly 5.57% per year between 2005 and 2016 and, therefore, emergency physicians have to cope with patient volumes above the safe workload. The purpose of this study is to create a virtual ED that closely maps the processes of a hospital-based ED in Singapore using system dynamics, that is, a computer simulation method, in order to visualize, simulate, and improve patient flows within the ED. Based on the simulation model (virtual ED), we analyze four policies: (i) co-location of primary care services within the ED, (ii) increase in the capacity of doctors, (iii) a more efficient patient transfer to inpatient hospital wards, and (iv) a combination of policies (i) to (iii). Among the tested policies, the co-location of primary care services has the largest impact on patients' average length of stay (ALOS) in the ED. This implies that decanting non-emergency lower acuity patients from the ED to an adjacent primary care clinic significantly relieves the burden on ED operations. Generally, in Singapore, there is a tendency to strengthen primary care and to educate patients to see their general practitioners first in case of non-life threatening, acute illness.

摘要

世界各地的急诊科(ED)都面临着患者数量的增加,这给急诊医学和整个医疗保健系统都带来了巨大的压力。因此,许多 ED 都面临着一种情况,即 ED 中的患者人数暂时超过了 ED 的设计和资源管理能力——这种现象称为 ED 拥挤。ED 拥挤会降低患者接受的护理质量,并导致患者等待 ED 医生咨询(到提供者的时间)和住院病房的时间延长。在新加坡,公立医院的 ED 总就诊人数显著增加,即在 2005 年至 2016 年间,每年约增长 5.57%,因此,急诊医生必须应对超过安全工作量的患者数量。本研究的目的是使用系统动力学(即计算机模拟方法)创建一个与新加坡基于医院的 ED 紧密匹配的虚拟 ED,以便可视化、模拟和改善 ED 内的患者流程。基于仿真模型(虚拟 ED),我们分析了四项政策:(i)将初级保健服务置于 ED 内,(ii)增加医生的容量,(iii)更有效地将患者转移到住院病房,以及(iv)结合政策(i)至(iii)。在测试的政策中,初级保健服务的共同定位对患者在 ED 的平均停留时间(ALOS)的影响最大。这意味着将非紧急、低严重程度的患者从 ED 分流到附近的初级保健诊所,将显著减轻 ED 运营的负担。一般来说,在新加坡,有一种加强初级保健的趋势,并教育患者在遇到非危及生命的急性疾病时首先看他们的全科医生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f749/7802975/4ff3d6803f8d/pone.0244097.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f749/7802975/2454250e5ace/pone.0244097.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f749/7802975/48b4201f171d/pone.0244097.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f749/7802975/f71dfb85c484/pone.0244097.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f749/7802975/1679c307a665/pone.0244097.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f749/7802975/8746802e0c8a/pone.0244097.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f749/7802975/0e8978357950/pone.0244097.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f749/7802975/042b4a5a27d5/pone.0244097.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f749/7802975/f2d0eb8ff70b/pone.0244097.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f749/7802975/4ff3d6803f8d/pone.0244097.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f749/7802975/2454250e5ace/pone.0244097.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f749/7802975/48b4201f171d/pone.0244097.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f749/7802975/f71dfb85c484/pone.0244097.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f749/7802975/1679c307a665/pone.0244097.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f749/7802975/8746802e0c8a/pone.0244097.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f749/7802975/0e8978357950/pone.0244097.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f749/7802975/042b4a5a27d5/pone.0244097.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f749/7802975/f2d0eb8ff70b/pone.0244097.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f749/7802975/4ff3d6803f8d/pone.0244097.g009.jpg

相似文献

1
Modeling Emergency Department crowding: Restoring the balance between demand for and supply of emergency medicine.建立急诊拥挤模型:恢复急诊医学供需平衡。
PLoS One. 2021 Jan 12;16(1):e0244097. doi: 10.1371/journal.pone.0244097. eCollection 2021.
2
Development of emergency department load relief area--gauging benefits in empirical terms.急诊科负荷缓解区的开发——用实证衡量效益。
Simul Healthc. 2012 Dec;7(6):343-52. doi: 10.1097/SIH.0b013e31825ded80.
3
Causes of Emergency Department Overcrowding and Blockage of Access to Critical Services in Beijing: A 2-Year Study.北京急诊科拥挤及关键服务通道堵塞的原因:一项为期两年的研究
J Emerg Med. 2018 May;54(5):665-673. doi: 10.1016/j.jemermed.2018.02.009. Epub 2018 Mar 21.
4
The relationship between inpatient discharge timing and emergency department boarding.住院患者出院时间与急诊科滞留之间的关系。
J Emerg Med. 2012 Feb;42(2):186-96. doi: 10.1016/j.jemermed.2010.06.028. Epub 2010 Oct 2.
5
Discharge timeliness and its impact on hospital crowding and emergency department flow performance.出院及时性及其对医院拥挤状况和急诊科流程绩效的影响。
Emerg Med Australas. 2016 Apr;28(2):164-70. doi: 10.1111/1742-6723.12543. Epub 2016 Feb 4.
6
Association of Emergency Department Length of Stay and Crowding for Patients with ST-Elevation Myocardial Infarction.ST段抬高型心肌梗死患者急诊科住院时间与拥挤情况的关联
West J Emerg Med. 2015 Dec;16(7):1067-72. doi: 10.5811/westjem.2015.8.27908. Epub 2015 Dec 16.
7
Impact of a well-developed primary care system on the length of stay in emergency departments in the Netherlands: a multicenter study.完善的初级医疗保健系统对荷兰急诊科住院时间的影响:一项多中心研究。
BMC Health Serv Res. 2016 Apr 26;16:149. doi: 10.1186/s12913-016-1400-z.
8
The financial burden of emergency department congestion and hospital crowding for chest pain patients awaiting admission.急诊科拥堵和医院拥挤给等待入院的胸痛患者带来的经济负担。
Ann Emerg Med. 2005 Feb;45(2):110-7. doi: 10.1016/j.annemergmed.2004.09.010.
9
Emergency departments and crowding in United States teaching hospitals.美国教学医院的急诊科与拥挤情况
Ann Emerg Med. 1991 Sep;20(9):980-6. doi: 10.1016/s0196-0644(05)82976-2.
10
Retrospective evaluation of healthcare utilisation and mortality of two post-discharge care programmes in Singapore.新加坡两项出院后护理计划的医疗利用和死亡率的回顾性评估。
BMJ Open. 2019 May 22;9(5):e027220. doi: 10.1136/bmjopen-2018-027220.

引用本文的文献

1
Long-Range Forecasting for Emergency Care Systems in a Highly Dynamic Setting: A Singapore Case Study.高度动态环境下急诊护理系统的长期预测:新加坡案例研究
J Am Coll Emerg Physicians Open. 2025 May 31;6(4):100184. doi: 10.1016/j.acepjo.2025.100184. eCollection 2025 Aug.
2
Pragmatic Risk Stratification Method to Identify Emergency Department Presentations for Alternative Care Service Pathways: Registry-Based Retrospective Study Over 5 Years.用于识别替代护理服务路径的急诊科就诊情况的实用风险分层方法:基于注册登记的5年回顾性研究
J Med Internet Res. 2025 May 12;27:e73758. doi: 10.2196/73758.
3
The Contribution of Real-Time Artificial Intelligence Segmentation in Maxillofacial Trauma Emergencies.

本文引用的文献

1
Modelling solid waste management solutions: The case of Campania, Italy.
Waste Manag. 2018 Aug;78:717-729. doi: 10.1016/j.wasman.2018.06.006. Epub 2018 Jun 29.
2
Emergency department 'outbreak rostering' to meet challenges of COVID-19.急诊科“爆发排班”应对 COVID-19 挑战。
Emerg Med J. 2020 Jul;37(7):407-410. doi: 10.1136/emermed-2020-209614. Epub 2020 May 28.
3
Improving the wait time to admission by reducing bed rejections.通过减少床位拒收来缩短入院等待时间。
实时人工智能分割在颌面创伤急诊中的作用
Diagnostics (Basel). 2025 Apr 12;15(8):984. doi: 10.3390/diagnostics15080984.
4
Prevalence and influencing factors of occupational burnout among healthcare workers in the Chinese mainland during the late 2022 Omicron COVID-19 outbreak: a multicenter cross-sectional study.2022年末奥密克戎新冠疫情期间中国大陆医护人员职业倦怠的患病率及影响因素:一项多中心横断面研究
BMC Public Health. 2025 Jan 15;25(1):171. doi: 10.1186/s12889-024-20930-x.
5
Rethinking non-urgent EMS conveyance to ED during night-time - a pilot study in Southwest Finland.重新思考夜间非紧急 EMS 向 ED 的转运 - 芬兰西南部的一项试点研究。
BMC Emerg Med. 2023 Aug 23;23(1):95. doi: 10.1186/s12873-023-00872-0.
6
Sustainability and impact of the implementation of a frailty checklist for the acute medical unit: experience from a tertiary public hospital in Singapore.在新加坡一家三级公立医院实施虚弱检查表的可持续性和影响:经验分享。
BMJ Open Qual. 2023 Jul;12(3). doi: 10.1136/bmjoq-2022-002203.
7
Healthcare services gap analysis: a supply capture and demand forecast modelling, Dubai 2018-2030.医疗保健服务差距分析:供应捕获和需求预测建模,迪拜 2018-2030 年。
BMC Health Serv Res. 2023 May 10;23(1):468. doi: 10.1186/s12913-023-09401-y.
8
Emergency department crowding: an overview of reviews describing measures causes, and harms.急诊科拥挤:描述措施、原因和危害的综述概述。
Intern Emerg Med. 2023 Jun;18(4):1137-1158. doi: 10.1007/s11739-023-03239-2. Epub 2023 Mar 1.
9
Main Features and Control Strategies to Reduce Overcrowding in Emergency Departments: A Systematic Review of the Literature.减少急诊科过度拥挤的主要特征和控制策略:文献系统综述
Risk Manag Healthc Policy. 2023 Feb 21;16:255-266. doi: 10.2147/RMHP.S399045. eCollection 2023.
10
Patient and hospital characteristics predict prolonged emergency department length of stay and in-hospital mortality: a nationwide analysis in Korea.患者和医院特征可预测急诊停留时间延长和住院死亡率:韩国全国范围内的分析。
BMC Emerg Med. 2022 Nov 21;22(1):183. doi: 10.1186/s12873-022-00745-y.
BMJ Open Qual. 2019 Jul 15;8(3):e000710. doi: 10.1136/bmjoq-2019-000710. eCollection 2019.
4
Association between the elderly frequent attender to the emergency department and 30-day mortality: A retrospective study over 10 years.急诊科老年频繁就诊者与30天死亡率之间的关联:一项为期10年的回顾性研究。
World J Emerg Med. 2018;9(1):20-25. doi: 10.5847/wjem.j.1920-8642.2018.01.003.
5
..
BMJ Open. 2017 May 9;7(5):e015007. doi: 10.1136/bmjopen-2016-015007.
6
Emergency department crowding in Singapore: Insights from a systems thinking approach.新加坡急诊科拥挤现象:系统思维方法的见解
SAGE Open Med. 2016 Oct 4;4:2050312116671953. doi: 10.1177/2050312116671953. eCollection 2016.
7
Future requirements for and supply of ophthalmologists for an aging population in Singapore.新加坡老年人口对眼科医生的未来需求与供给
Hum Resour Health. 2015 Nov 17;13:86. doi: 10.1186/s12960-015-0085-4.
8
Overcrowding in emergency department: an international issue.急诊科过度拥挤:一个国际性问题。
Intern Emerg Med. 2015 Mar;10(2):171-5. doi: 10.1007/s11739-014-1154-8. Epub 2014 Dec 2.
9
Effect of emergency department crowding on outcomes of admitted patients.急诊拥挤对住院患者结局的影响。
Ann Emerg Med. 2013 Jun;61(6):605-611.e6. doi: 10.1016/j.annemergmed.2012.10.026. Epub 2012 Dec 6.
10
Emergency department crowding.急诊科拥挤。
Emerg Med J. 2012 Jun;29(6):437-43. doi: 10.1136/emermed-2011-200532. Epub 2012 Jan 4.