Throughput Benchmarking and Throughput Variance Analysis to Evaluate the Efficiency of an Outpatient Endoscopy Unit.

IF 8.8 3区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Xing Li, Eli Patt, Madeline Koehn, Michael Hu, Ana Cecilia Zenteno Langle, Hrudya Viswanadh, Erin Stewart, Duncan J Flynn, Amandeep Singh
{"title":"Throughput Benchmarking and Throughput Variance Analysis to Evaluate the Efficiency of an Outpatient Endoscopy Unit.","authors":"Xing Li, Eli Patt, Madeline Koehn, Michael Hu, Ana Cecilia Zenteno Langle, Hrudya Viswanadh, Erin Stewart, Duncan J Flynn, Amandeep Singh","doi":"10.1007/s10916-026-02427-9","DOIUrl":null,"url":null,"abstract":"<p><p>Rising demand for colorectal cancer screening has increased colonoscopy volume, producing backlogs and prolonged wait times. Commonly used metrics such as room utilization provide limited insight into actionable drivers of efficiency; we applied a novel throughput benchmarking framework to quantify performance and identify operational sources of inefficiency. We conducted a pilot study in a four-room outpatient endoscopy unit from July-December 2022. Using routinely recorded timestamps for procedural stages, we derived a realistic daily target throughput (RDTT). Monthly realistic target throughput (RMTT) was calculated from RDTT. Actual monthly throughput (AMT) was benchmarked against RMTT to generate a throughput efficiency ratio (TER = AMT/RMTT) and throughput variance (TV = RMTT - AMT), which was decomposed into seven predefined operational factors. AMT ranged from 567 to 717 procedures per month, whereas RMTT ranged from 1,165 to 1,332, yielding a mean TER of 53%. The largest contributors to variance were rooms closed due to lack of endoscopist assignment (45%), workflow delays (21%), and patient no-shows or late cancellations (11%). In this pilot, we demonstrate that using commonly captured operational metrics, throughput benchmarking provides a practical framework to quantify efficiency and identify specific, actionable drivers of underperformance in endoscopy operations.</p>","PeriodicalId":16338,"journal":{"name":"Journal of Medical Systems","volume":"50 1","pages":""},"PeriodicalIF":8.8000,"publicationDate":"2026-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Systems","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s10916-026-02427-9","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

Rising demand for colorectal cancer screening has increased colonoscopy volume, producing backlogs and prolonged wait times. Commonly used metrics such as room utilization provide limited insight into actionable drivers of efficiency; we applied a novel throughput benchmarking framework to quantify performance and identify operational sources of inefficiency. We conducted a pilot study in a four-room outpatient endoscopy unit from July-December 2022. Using routinely recorded timestamps for procedural stages, we derived a realistic daily target throughput (RDTT). Monthly realistic target throughput (RMTT) was calculated from RDTT. Actual monthly throughput (AMT) was benchmarked against RMTT to generate a throughput efficiency ratio (TER = AMT/RMTT) and throughput variance (TV = RMTT - AMT), which was decomposed into seven predefined operational factors. AMT ranged from 567 to 717 procedures per month, whereas RMTT ranged from 1,165 to 1,332, yielding a mean TER of 53%. The largest contributors to variance were rooms closed due to lack of endoscopist assignment (45%), workflow delays (21%), and patient no-shows or late cancellations (11%). In this pilot, we demonstrate that using commonly captured operational metrics, throughput benchmarking provides a practical framework to quantify efficiency and identify specific, actionable drivers of underperformance in endoscopy operations.

通量基准和通量方差分析评估门诊内窥镜检查单位的效率。
对结直肠癌筛查需求的增加增加了结肠镜检查的数量,造成了积压和等待时间的延长。常用的指标,如房间利用率,对可操作的效率驱动因素的了解有限;我们应用了一种新的吞吐量基准测试框架来量化性能并确定低效率的操作来源。我们于2022年7月至12月在一个四室门诊内窥镜病房进行了一项试点研究。使用程序阶段的常规记录时间戳,我们得到了一个实际的每日目标吞吐量(RDTT)。每月实际目标吞吐量(RMTT)由RDTT计算。实际月吞吐量(AMT)以RMTT为基准,生成吞吐量效率比(TER = AMT/RMTT)和吞吐量方差(TV = RMTT - AMT),并将其分解为七个预定义的操作因素。AMT每月567 - 717例,而RMTT每月1165 - 1332例,平均TER为53%。造成差异最大的因素是由于缺少内窥镜医生分配而关闭的房间(45%)、工作流程延迟(21%)和患者未到或延迟取消预约(11%)。在这个试点项目中,我们展示了使用常用的操作指标,吞吐量基准测试提供了一个实用的框架来量化效率,并确定内窥镜手术中表现不佳的具体、可操作的驱动因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Medical Systems
Journal of Medical Systems 医学-卫生保健
CiteScore
11.60
自引率
1.90%
发文量
83
审稿时长
4.8 months
期刊介绍: Journal of Medical Systems provides a forum for the presentation and discussion of the increasingly extensive applications of new systems techniques and methods in hospital clinic and physician''s office administration; pathology radiology and pharmaceutical delivery systems; medical records storage and retrieval; and ancillary patient-support systems. The journal publishes informative articles essays and studies across the entire scale of medical systems from large hospital programs to novel small-scale medical services. Education is an integral part of this amalgamation of sciences and selected articles are published in this area. Since existing medical systems are constantly being modified to fit particular circumstances and to solve specific problems the journal includes a special section devoted to status reports on current installations.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书