Analysis of system and scanner downtime in a digital pathology-predominant institution: A 6-year experience.

IF 1.9 4区医学 Q2 PATHOLOGY

American journal of clinical pathology Pub Date : 2025-10-04 DOI:10.1093/ajcp/aqaf094

Ryan Reagans, Lokman Cevik, Himani Kumar, David Kellough, Abberly Lott Limbach, Giovanni Lujan, Anil Parwani, Hamza N Gokozan

{"title":"Analysis of system and scanner downtime in a digital pathology-predominant institution: A 6-year experience.","authors":"Ryan Reagans, Lokman Cevik, Himani Kumar, David Kellough, Abberly Lott Limbach, Giovanni Lujan, Anil Parwani, Hamza N Gokozan","doi":"10.1093/ajcp/aqaf094","DOIUrl":null,"url":null,"abstract":"Objective: To determine trends in system and scanner downtime in our institution's digital pathology pipeline since its implementation.Methods: Scanner and system downtime data were tabulated from a period beginning in 2017 and ending in 2022. Downtime events were categorized based on their etiology, such as image management system related for the overall system or hardware vs software related for the scanner.Results: The maximum scanner downtime consisted of 36 events and occurred in the first quarter of 2019; most of this downtime was attributed to hardware issues. The average scanner downtime per quarter was 350.7 hours. Multifactorial events tended to last longer than single events. System downtime was mostly due to the image management system. Full-system downtime occurred from 2017 through 2019; since then, full-system downtime has essentially been replaced with partial downtime.Conclusions: Scanner downtime was mostly due to hardware, while system downtime was mostly caused by issues with the image management system. With experience, our institution mitigated the impact of technological difficulties, significantly reducing the number of downtime events since the implementation of digital pathology in 2017.","PeriodicalId":7506,"journal":{"name":"American journal of clinical pathology","volume":" ","pages":"634-638"},"PeriodicalIF":1.9000,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of clinical pathology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/ajcp/aqaf094","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PATHOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Objective: To determine trends in system and scanner downtime in our institution's digital pathology pipeline since its implementation.

Methods: Scanner and system downtime data were tabulated from a period beginning in 2017 and ending in 2022. Downtime events were categorized based on their etiology, such as image management system related for the overall system or hardware vs software related for the scanner.

Results: The maximum scanner downtime consisted of 36 events and occurred in the first quarter of 2019; most of this downtime was attributed to hardware issues. The average scanner downtime per quarter was 350.7 hours. Multifactorial events tended to last longer than single events. System downtime was mostly due to the image management system. Full-system downtime occurred from 2017 through 2019; since then, full-system downtime has essentially been replaced with partial downtime.

Conclusions: Scanner downtime was mostly due to hardware, while system downtime was mostly caused by issues with the image management system. With experience, our institution mitigated the impact of technological difficulties, significantly reducing the number of downtime events since the implementation of digital pathology in 2017.

查看原文本刊更多论文

一个以数字病理学为主的机构的系统和扫描仪停机时间分析：一个6年的经验。

目的：了解我院数字化病理流水线实施以来系统和扫描仪停机的趋势。方法：从2017年开始到2022年结束，将扫描仪和系统停机数据制成表格。停机事件根据其原因进行分类，例如与整个系统相关的图像管理系统或与扫描仪相关的硬件与软件。结果：扫描仪最大停机时间由36个事件组成，发生在2019年第一季度；大部分停机时间是由硬件问题造成的。每个季度扫描仪的平均停机时间为350.7小时。多因素事件往往比单一事件持续时间更长。系统停机主要是由于映像管理系统。整个系统的停机时间从2017年到2019年；从那时起，整个系统的停机时间基本上已经被部分停机时间所取代。结论：扫描仪停机主要是由于硬件原因，而系统停机主要是由于图像管理系统的问题。凭借经验，我们的机构减轻了技术困难的影响，自2017年实施数字病理以来显着减少了停机事件的数量。

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

American journal of clinical pathology 医学-病理学

CiteScore

7.70

自引率

2.90%

发文量

367

审稿时长

3-6 weeks

期刊介绍： The American Journal of Clinical Pathology (AJCP) is the official journal of the American Society for Clinical Pathology and the Academy of Clinical Laboratory Physicians and Scientists. It is a leading international journal for publication of articles concerning novel anatomic pathology and laboratory medicine observations on human disease. AJCP emphasizes articles that focus on the application of evolving technologies for the diagnosis and characterization of diseases and conditions, as well as those that have a direct link toward improving patient care.