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英格兰国民保健署急性医院中脓毒症电子筛查的流行情况。

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

机构信息

Team Health Informatics, Institute of Cancer Research, London, UK

MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK.

出版信息

BMJ Health Care Inform. 2023 May;30(1). doi: 10.1136/bmjhci-2023-100743.

DOI:10.1136/bmjhci-2023-100743
PMID:37169397
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10186434/
Abstract

UNLABELLED

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.

摘要

未加标签

败血症是一个全球性的公共卫生问题。如果能迅速识别出败血症,并及时进行适当的治疗,患者的预后将会得到改善。

目的

描述英国国家医疗服务体系(NHS)急性医院中使用的数字败血症警报(DSA)。

方法

通过信息自由请求,调查了 NHS 急性信托机构对电子病历(EPR)和 DSA 的采用情况。

结果

在 99 家做出回应的信托机构中,有 84 家拥有 EPR。在英格兰,确定了 20 多家不同的 EPR 系统供应商正在运营。最常见的供应商是 Cerner(21%)。System C、Dedalus 和 Allscripts Sunrise 也相对常见(分别为 13%、10%和 7%)。70%拥有 EPR 的 NHS 信托机构回应称他们有 DSA;其中大多数使用国家早期预警评分(NEWS2)。有证据表明,EPR 供应商与 DSA 算法有关。我们没有发现信托机构正在使用 EPR 引入数据驱动算法或能够包含可能增加风险的预先存在的条件的 DSA 的证据。并非所有信托机构都愿意或能够提供其 EPR 或底层算法的详细信息。

讨论

大多数 NHS 信托机构使用某种类型的 EPR;许多机构按照国家指南使用基于 NEWS2 的 DSA。

结论

许多英国 NHS 信托机构使用 DSA;即使使用类似的触发因素也存在差异,许多机构都在重新创建纸质系统。尽管有许多机器学习算法被开发出来用于支持败血症的早期检测,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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6036/10186434/abd2ca45eb54/bmjhci-2023-100743f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6036/10186434/abd2ca45eb54/bmjhci-2023-100743f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6036/10186434/abd2ca45eb54/bmjhci-2023-100743f01.jpg

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