Ryan Reagans, Lokman Cevik, Himani Kumar, David Kellough, Abberly Lott Limbach, Giovanni Lujan, Anil Parwani, Hamza N Gokozan
{"title":"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。","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":"<p><strong>Objective: </strong>To determine trends in system and scanner downtime in our institution's digital pathology pipeline since its implementation.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","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":"{\"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\":\"<p><strong>Objective: </strong>To determine trends in system and scanner downtime in our institution's digital pathology pipeline since its implementation.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>\",\"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}","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}
Analysis of system and scanner downtime in a digital pathology-predominant institution: A 6-year experience.
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.
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.
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