• 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

运用六西格玛 DMAIC 方法论和离散事件仿真技术,缩短侯赛因国王癌症中心患者的出院时间。

Using Six Sigma DMAIC Methodology and Discrete Event Simulation to Reduce Patient Discharge Time in King Hussein Cancer Center.

机构信息

The Department of Industrial Engineering, The University of Jordan, Amman, Jordan.

King Hussein Cancer Center, Amman, Jordan.

出版信息

J Healthc Eng. 2018 Jun 24;2018:3832151. doi: 10.1155/2018/3832151. eCollection 2018.

DOI:10.1155/2018/3832151
PMID:30034673
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6035855/
Abstract

Short discharge time from hospitals increases both bed availability and patients' and families' satisfaction. In this study, the Six Sigma process improvement methodology was applied to reduce patients' discharge time in a cancer treatment hospital. Data on the duration of all activities, from the physician signing the discharge form to the patient leaving the treatment room, were collected through patient shadowing. These data were analyzed using detailed process maps and cause-and-effect diagrams. Fragmented and unstandardized processes and procedures and a lack of communication among the stakeholders were among the leading causes of long discharge times. Categorizing patients by their needs enabled better design of the discharge processes. Discrete event simulation was utilized as a decision support tool to test the effect of the improvements under different scenarios. Simplified and standardized processes, improved communications, and system-wide management are among the proposed improvements, which reduced patient discharge time by 54% from 216 minutes. Cultivating the necessary ownership through stakeholder analysis is an essential ingredient of sustainable improvement efforts.

摘要

缩短患者在医院的出院时间可以提高病床的利用率,并提升患者及其家属的满意度。本研究采用六西格玛流程改进方法来减少癌症治疗医院患者的出院时间。通过对患者进行跟踪,收集了从医生签署出院表到患者离开治疗室的所有活动的持续时间的数据。使用详细的流程图和因果关系图对这些数据进行了分析。导致出院时间长的主要原因包括流程碎片化且不规范以及利益相关者之间缺乏沟通。通过患者的需求对其进行分类,有助于更好地设计出院流程。离散事件模拟被用作决策支持工具,以在不同场景下测试改进措施的效果。所提出的改进措施包括简化和标准化流程、改进沟通以及全系统管理,将患者的出院时间从 216 分钟缩短了 54%。通过利益相关者分析培养必要的所有权是可持续改进努力的重要组成部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/213eb41f61b2/JHE2018-3832151.020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/f0f31d929e77/JHE2018-3832151.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/303417dd2e2e/JHE2018-3832151.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/c8d221be7db7/JHE2018-3832151.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/1af06a9e2af9/JHE2018-3832151.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/05e35e90d385/JHE2018-3832151.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/aa485d21a97b/JHE2018-3832151.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/72090648f4d3/JHE2018-3832151.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/c07983d7d5a0/JHE2018-3832151.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/8828e7240b8c/JHE2018-3832151.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/114791daca27/JHE2018-3832151.010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/b3457181307f/JHE2018-3832151.011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/dab5fc0c81a8/JHE2018-3832151.012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/733d8cedc6bb/JHE2018-3832151.013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/55f156654fff/JHE2018-3832151.014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/f457ede25aca/JHE2018-3832151.015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/74e6e02c9870/JHE2018-3832151.016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/ae50353c7e7f/JHE2018-3832151.017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/338d87ced77a/JHE2018-3832151.018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/0a51dcb7740a/JHE2018-3832151.019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/213eb41f61b2/JHE2018-3832151.020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/f0f31d929e77/JHE2018-3832151.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/303417dd2e2e/JHE2018-3832151.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/c8d221be7db7/JHE2018-3832151.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/1af06a9e2af9/JHE2018-3832151.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/05e35e90d385/JHE2018-3832151.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/aa485d21a97b/JHE2018-3832151.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/72090648f4d3/JHE2018-3832151.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/c07983d7d5a0/JHE2018-3832151.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/8828e7240b8c/JHE2018-3832151.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/114791daca27/JHE2018-3832151.010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/b3457181307f/JHE2018-3832151.011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/dab5fc0c81a8/JHE2018-3832151.012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/733d8cedc6bb/JHE2018-3832151.013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/55f156654fff/JHE2018-3832151.014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/f457ede25aca/JHE2018-3832151.015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/74e6e02c9870/JHE2018-3832151.016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/ae50353c7e7f/JHE2018-3832151.017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/338d87ced77a/JHE2018-3832151.018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/0a51dcb7740a/JHE2018-3832151.019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5870/6035855/213eb41f61b2/JHE2018-3832151.020.jpg

相似文献

1
Using Six Sigma DMAIC Methodology and Discrete Event Simulation to Reduce Patient Discharge Time in King Hussein Cancer Center.运用六西格玛 DMAIC 方法论和离散事件仿真技术,缩短侯赛因国王癌症中心患者的出院时间。
J Healthc Eng. 2018 Jun 24;2018:3832151. doi: 10.1155/2018/3832151. eCollection 2018.
2
A Lean Six Sigma quality improvement project to increase discharge paperwork completeness for admission to a comprehensive integrated inpatient rehabilitation program.一个旨在提高转入综合住院康复项目时出院文件完整性的精益六西格玛质量改进项目。
Am J Med Qual. 2013 Jul-Aug;28(4):301-7. doi: 10.1177/1062860612470486. Epub 2013 Jan 15.
3
A Lean Six Sigma Quality Improvement Project Improves Timeliness of Discharge from the Hospital.一个精益六西格玛质量改进项目提高了医院出院的及时性。
Jt Comm J Qual Patient Saf. 2018 Jul;44(7):401-412. doi: 10.1016/j.jcjq.2018.02.006. Epub 2018 May 28.
4
Six Sigma: not for the faint of heart.六西格玛:并非胆小者所能驾驭。
Radiol Manage. 2003 Mar-Apr;25(2):40-53.
5
RFID in healthcare: a Six Sigma DMAIC and simulation case study.医疗保健领域的射频识别技术:一个六西格玛DMAIC与仿真案例研究
Int J Health Care Qual Assur. 2012;25(4):291-321. doi: 10.1108/09526861211221491.
6
Use of lean and six sigma methodology to improve operating room efficiency in a high-volume tertiary-care academic medical center.运用精益和六西格玛方法学提高大容量三级保健学术医疗中心手术室效率。
J Am Coll Surg. 2011 Jul;213(1):83-92; discussion 93-4. doi: 10.1016/j.jamcollsurg.2011.02.009. Epub 2011 Mar 21.
7
Decreasing Wait Times and Increasing Patient Satisfaction: A Lean Six Sigma Approach.减少等待时间并提高患者满意度:一种精益六西格玛方法。
J Nurs Care Qual. 2019 Jan/Mar;34(1):61-65. doi: 10.1097/NCQ.0000000000000332.
8
Impact of lean six sigma process improvement methodology on cardiac catheterization laboratory efficiency.精益六西格玛流程改进方法对心导管实验室效率的影响。
Cardiovasc Revasc Med. 2016 Mar;17(2):95-101. doi: 10.1016/j.carrev.2015.12.011. Epub 2015 Dec 28.
9
Decreasing the dispatch time of medical reports sent from hospital to primary care with Lean Six Sigma.运用精益六西格玛方法缩短医院发送至基层医疗的医学报告的发送时间。
J Eval Clin Pract. 2016 Oct;22(5):690-8. doi: 10.1111/jep.12518. Epub 2016 Feb 8.
10
A healthcare Lean Six Sigma System for postanesthesia care unit workflow improvement.一种用于改善麻醉后护理单元工作流程的医疗保健精益六西格玛系统。
Qual Manag Health Care. 2011 Jan-Mar;20(1):4-14. doi: 10.1097/QMH.0b013e3182033791.

引用本文的文献

1
Application of Lean Six Sigma Combined with Pre-Prescription Review System in Reducing the Irrational Rate of Emergency Prescriptions: A Single Center Study.精益六西格玛结合处方前置审核系统在降低急诊处方不合理率中的应用:一项单中心研究
Risk Manag Healthc Policy. 2025 Sep 10;18:2991-3007. doi: 10.2147/RMHP.S542186. eCollection 2025.
2
Patient-level simulation models in cancer care: a systematic review.癌症护理中患者层面的模拟模型:一项系统综述。
Front Public Health. 2025 May 9;13:1335300. doi: 10.3389/fpubh.2025.1335300. eCollection 2025.
3
Enhancing Hospital Pharmacy Operations Through Lean and Six Sigma Strategies: A Systematic Review.

本文引用的文献

1
Reducing the risk of healthcare-associated infections through Lean Six Sigma: The case of the medicine areas at the Federico II University Hospital in Naples (Italy).通过精益六西格玛降低医疗相关感染风险:以意大利那不勒斯费德里科二世大学医院的内科病区为例。
J Eval Clin Pract. 2018 Apr;24(2):338-346. doi: 10.1111/jep.12844. Epub 2017 Nov 3.
2
The application of Lean Six Sigma methodology to reduce the risk of healthcare-associated infections in surgery departments.应用精益六西格玛方法降低外科部门医疗相关感染的风险。
J Eval Clin Pract. 2017 Jun;23(3):530-539. doi: 10.1111/jep.12662. Epub 2016 Nov 18.
3
Incorporating discrete event simulation into quality improvement efforts in health care systems.
通过精益和六西格玛策略提升医院药房运营:一项系统综述
Cureus. 2024 Mar 29;16(3):e57176. doi: 10.7759/cureus.57176. eCollection 2024 Mar.
4
A configurable computer simulation model for reducing patient waiting time in oncology departments.一种用于减少肿瘤科室患者等待时间的可配置计算机模拟模型。
Health Syst (Basingstoke). 2022 Jan 24;12(2):208-222. doi: 10.1080/20476965.2022.2030655. eCollection 2023.
5
Using the Laney p' Control Chart for Monitoring COVID-19 Cases in Jordan.利用 Laney p' 控制图监测约旦的 COVID-19 病例。
J Healthc Eng. 2022 Sep 19;2022:6711592. doi: 10.1155/2022/6711592. eCollection 2022.
6
DMAIC methodology for achieving public satisfaction with health departments in various districts of Punjab and optimizing CT scan patient load in urban city hospitals.用于使旁遮普邦各地区卫生部门获得公众满意度并优化城市医院CT扫描患者量的DMAIC方法。
AIMS Public Health. 2022 May 10;9(2):440-457. doi: 10.3934/publichealth.2022030. eCollection 2022.
7
Machine Learning and Regression Analysis to Model the Length of Hospital Stay in Patients with Femur Fracture.机器学习与回归分析用于股骨骨折患者住院时间建模
Bioengineering (Basel). 2022 Apr 14;9(4):172. doi: 10.3390/bioengineering9040172.
8
Reduction of the Cycle Time in the Biopsies Diagnosis Through a Simulation Based on the Box Müller Algorithm.通过基于 Box Müller 算法的模拟来缩短活检诊断的周期时间。
Front Public Health. 2022 Apr 4;10:809534. doi: 10.3389/fpubh.2022.809534. eCollection 2022.
9
A Health Technology Assessment in Maxillofacial Cancer Surgery by Using the Six Sigma Methodology.采用六西格玛方法进行颌面癌症手术的卫生技术评估。
Int J Environ Res Public Health. 2021 Sep 18;18(18):9846. doi: 10.3390/ijerph18189846.
10
Application of DMAIC Cycle and Modeling as Tools for Health Technology Assessment in a University Hospital.DMAIC 循环和建模在大学医院卫生技术评估中的应用。
J Healthc Eng. 2021 Aug 17;2021:8826048. doi: 10.1155/2021/8826048. eCollection 2021.
将离散事件模拟纳入医疗保健系统的质量改进工作中。
Am J Med Qual. 2015 Jan-Feb;30(1):31-5. doi: 10.1177/1062860613512863. Epub 2013 Dec 9.
4
Discrete event simulation for healthcare organizations: a tool for decision making.离散事件模拟在医疗保健组织中的应用:决策工具。
J Healthc Manag. 2013 Mar-Apr;58(2):110-24; discussion 124-5.
5
Modeling using discrete event simulation: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force--4.使用离散事件模拟建模:ISPOR-SMDM 建模良好实践工作组的报告--4.
Value Health. 2012 Sep-Oct;15(6):821-7. doi: 10.1016/j.jval.2012.04.013.
6
Application of Six Sigma methodology to a diagnostic imaging process.六西格玛方法在诊断成像流程中的应用。
Int J Health Care Qual Assur. 2012;25(4):274-90. doi: 10.1108/09526861211221482.
7
Improving the safety of patient transfer from AMU using a written checklist.使用书面检查表提高从急性医疗单元转运患者的安全性。
Acute Med. 2012;11(1):13-7.
8
Quality in trauma care: improving the discharge procedure of patients by means of Lean Six Sigma.创伤护理质量:通过精益六西格玛改进患者出院流程。
J Trauma. 2010 Sep;69(3):614-8; discussion 618-9. doi: 10.1097/TA.0b013e3181e70f90.
9
Standardize to excellence: improving the quality and safety of care with clinical pathways.追求卓越标准化:通过临床路径提升医疗质量与安全。
Pediatr Clin North Am. 2009 Aug;56(4):893-904. doi: 10.1016/j.pcl.2009.05.005.
10
Discharge planning: the role of the discharge co-ordinator.出院计划:出院协调员的角色
Nurs Older People. 2009 Feb;21(1):26-31; quiz 32. doi: 10.7748/nop2009.02.21.1.26.c6871.