Meta-Analysis of Radiotherapy Audit Data.

Elizabeth A Cooke, Ellie Smyth, Spencer A Thomas, Catharine H Clark, Mohammad Hussein
{"title":"Meta-Analysis of Radiotherapy Audit Data.","authors":"Elizabeth A Cooke, Ellie Smyth, Spencer A Thomas, Catharine H Clark, Mohammad Hussein","doi":"10.3233/SHTI250079","DOIUrl":null,"url":null,"abstract":"<p><p>Standardised digital records can improve access and quality of health services and enable meta-analysis of data which may reveal unknown patterns, which improve our understanding of the data. In this study, we report on meta-analysis of data curated from advanced radiotherapy dosimetry audits conducted at hospitals across the UK using test objects developed at the National Physical Laboratory. This meta-analysis highlights hospitals which are performing within expectation, or outside of expected intervals and would benefit from measurement support. Anonymised hospitals with low precision or accuracy treatment plans are identified, enabling support and improvements where appropriate. The results presented may be used to provide insight to hospitals and inform areas of focus for improved predictions of radiation dose that are tailored to a given hospital. Moreover, this analysis can enable auditors and regulators to provide additional services or recommendations, and potentially identify previously unknown patterns or dependencies in the data.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"206-210"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in health technology and informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/SHTI250079","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Standardised digital records can improve access and quality of health services and enable meta-analysis of data which may reveal unknown patterns, which improve our understanding of the data. In this study, we report on meta-analysis of data curated from advanced radiotherapy dosimetry audits conducted at hospitals across the UK using test objects developed at the National Physical Laboratory. This meta-analysis highlights hospitals which are performing within expectation, or outside of expected intervals and would benefit from measurement support. Anonymised hospitals with low precision or accuracy treatment plans are identified, enabling support and improvements where appropriate. The results presented may be used to provide insight to hospitals and inform areas of focus for improved predictions of radiation dose that are tailored to a given hospital. Moreover, this analysis can enable auditors and regulators to provide additional services or recommendations, and potentially identify previously unknown patterns or dependencies in the data.

标准化的数字记录可以提高医疗服务的可及性和质量,并能对数据进行元分析,从而揭示未知的模式,加深我们对数据的理解。在这项研究中,我们利用国家物理实验室开发的测试对象,对英国各地医院进行的高级放射治疗剂量测量审核中收集的数据进行了元分析。这项荟萃分析强调了哪些医院的表现在预期范围内,哪些医院的表现超出预期范围,哪些医院将从测量支持中获益。此外,还确定了精确度或准确度较低的匿名医院,以便在适当的情况下提供支持和改进。所提供的结果可用于为医院提供洞察力,并告知重点领域,以改进针对特定医院的辐射剂量预测。此外,这种分析还能让审计人员和监管人员提供额外的服务或建议,并有可能在数据中发现以前未知的模式或依赖关系。
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
自引率
0.00%
发文量
0
×
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:481959085
Book学术官方微信