Prevalence of electronic screening for sepsis in National Health Service acute hospitals in England.

IF 4.1 Q1 HEALTH CARE SCIENCES & SERVICES BMJ Health & Care Informatics Pub Date : 2023-05-01 DOI:10.1136/bmjhci-2023-100743
Kate Honeyford, Amen-Patrick Nwosu, Runa Lazzarino, Anne Kinderlerer, John Welch, Andrew J Brent, Graham Cooke, Peter Ghazal, Shashank Patil, Ceire E Costelloe
{"title":"Prevalence of electronic screening for sepsis in National Health Service acute hospitals in England.","authors":"Kate Honeyford, Amen-Patrick Nwosu, Runa Lazzarino, Anne Kinderlerer, John Welch, Andrew J Brent, Graham Cooke, Peter Ghazal, Shashank Patil, Ceire E Costelloe","doi":"10.1136/bmjhci-2023-100743","DOIUrl":null,"url":null,"abstract":"<p><p>Sepsis is a worldwide public health problem. Rapid identification is associated with improved patient outcomes-if followed by timely appropriate treatment.</p><p><strong>Objectives: </strong>Describe digital sepsis alerts (DSAs) in use in English National Health Service (NHS) acute hospitals.</p><p><strong>Methods: </strong>A Freedom of Information request surveyed acute NHS Trusts on their adoption of electronic patient records (EPRs) and DSAs.</p><p><strong>Results: </strong>Of the 99 Trusts that responded, 84 had an EPR. Over 20 different EPR system providers were identified as operational in England. The most common providers were Cerner (21%). System C, Dedalus and Allscripts Sunrise were also relatively common (13%, 10% and 7%, respectively). 70% of NHS Trusts with an EPR responded that they had a DSA; most of these use the National Early Warning Score (NEWS2). There was evidence that the EPR provider was related to the DSA algorithm. We found no evidence that Trusts were using EPRs to introduce data driven algorithms or DSAs able to include, for example, pre-existing conditions that may be known to increase risk.Not all Trusts were willing or able to provide details of their EPR or the underlying algorithm.</p><p><strong>Discussion: </strong>The majority of NHS Trusts use an EPR of some kind; many use a NEWS2-based DSA in keeping with national guidelines.</p><p><strong>Conclusion: </strong>Many English NHS Trusts use DSAs; even those using similar triggers vary and many recreate paper systems. Despite the proliferation of machine learning algorithms being developed to support early detection of sepsis, there is little evidence that these are being used to improve personalised sepsis detection.</p>","PeriodicalId":9050,"journal":{"name":"BMJ Health & Care Informatics","volume":null,"pages":null},"PeriodicalIF":4.1000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186434/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMJ Health & Care Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1136/bmjhci-2023-100743","RegionNum":0,"RegionCategory":null,"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

Sepsis is a worldwide public health problem. Rapid identification is associated with improved patient outcomes-if followed by timely appropriate treatment.

Objectives: Describe digital sepsis alerts (DSAs) in use in English National Health Service (NHS) acute hospitals.

Methods: A Freedom of Information request surveyed acute NHS Trusts on their adoption of electronic patient records (EPRs) and DSAs.

Results: Of the 99 Trusts that responded, 84 had an EPR. Over 20 different EPR system providers were identified as operational in England. The most common providers were Cerner (21%). System C, Dedalus and Allscripts Sunrise were also relatively common (13%, 10% and 7%, respectively). 70% of NHS Trusts with an EPR responded that they had a DSA; most of these use the National Early Warning Score (NEWS2). There was evidence that the EPR provider was related to the DSA algorithm. We found no evidence that Trusts were using EPRs to introduce data driven algorithms or DSAs able to include, for example, pre-existing conditions that may be known to increase risk.Not all Trusts were willing or able to provide details of their EPR or the underlying algorithm.

Discussion: The majority of NHS Trusts use an EPR of some kind; many use a NEWS2-based DSA in keeping with national guidelines.

Conclusion: Many English NHS Trusts use DSAs; even those using similar triggers vary and many recreate paper systems. Despite the proliferation of machine learning algorithms being developed to support early detection of sepsis, there is little evidence that these are being used to improve personalised sepsis detection.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
英国国民健康服务急症医院败血症电子筛查的普及率。
败血症是一个全球性的公共卫生问题。如果能及时进行适当的治疗,快速识别与改善患者预后有关:描述英国国家医疗服务系统(NHS)急症医院中使用的数字败血症警报(DSA):方法:根据信息自由申请,对英国国家医疗服务系统(NHS)急症医院采用电子病历(EPR)和 DSA 的情况进行调查:结果:在 99 家做出回复的医院中,84 家采用了电子病历系统。在英格兰,有 20 多家不同的电子病历系统提供商在运营。最常见的供应商是 Cerner(21%)。System C、Dedalus 和 Allscripts Sunrise 也比较常见(分别为 13%、10% 和 7%)。70% 拥有 EPR 的 NHS 信托基金会回复称,他们拥有 DSA;其中大部分使用国家预警分数 (NEWS2)。有证据表明,电子病历提供者与 DSA 算法有关。我们没有发现任何证据表明,信托机构正在使用 EPR 来引入数据驱动算法或 DSA,以便将已知可能会增加风险的既存病症等纳入其中:讨论:大多数英国国家医疗服务托管机构都使用某种 EPR;许多托管机构根据国家指导方针使用基于 NEWS2 的 DSA:结论:许多英国国家医疗服务系统信托机构都使用 DSA;即使是使用类似触发器的信托机构也各不相同,许多信托机构都在重新创建纸质系统。尽管支持败血症早期检测的机器学习算法不断涌现,但几乎没有证据表明这些算法被用于改善个性化败血症检测。
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 去求助
来源期刊
CiteScore
6.10
自引率
4.90%
发文量
40
审稿时长
18 weeks
期刊最新文献
Designing and validating a clinical decision support algorithm for diabetic nephroprotection in older patients. Balancing act: the complex role of artificial intelligence in addressing burnout and healthcare workforce dynamics. What characteristics of clinical decision support system implementations lead to adoption for regular use? A scoping review. Feasibility of forecasting future critical care bed availability using bed management data. User perceptions and utilisation of features of an AI-enabled workplace digital mental wellness platform 'mindline at work'.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1