使用常规收集的临床数据来衡量临床表现。

D R Prytherch, J S Briggs, P C Weaver, P Schmidt, G B Smith
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引用次数: 14

摘要

在布里斯托尔皇家医院的儿科心脏手术问题广为人知之后,公众对医院绩效的衡量产生了广泛的兴趣。肯尼迪关于“一带一路”事件的报告建议,此类措施应对公众有意义,经病例混合调整,并以作为常规临床护理一部分收集的数据为基础。我们发现,使用简单的常规数据(年龄、入院方式、性别和常规血液检查结果)就可以预测住院死亡率(一种公众容易理解的指标)。临床数据项可以在一次静脉切片中获得,通常是在患者的日常护理中收集的,已经存储在医院的核心IT系统中,因此不会给提供护理的临床工作人员带来额外的负担。这种风险模型可以为基于证据的临床绩效管理提供一种度量标准。国家应用在后勤上是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring clinical performance using routinely collected clinical data.

Following the well-publicized problems with paediatric cardiac surgery at the Bristol Royal Infirmary, there is wide public interest in measures of hospital performance. The Kennedy report on the BRI events suggested that such measures should be meaningful to the public, case-mix-adjusted, and based on data collected as part of routine clinical care. We have found that it is possible to predict in-hospital mortality (a measure readily understood by the public) using simple routine data-age, mode of admission, sex, and routine blood test results. The clinical data items can be obtained at a single venesection, are commonly collected in the routine care of patients, are already stored on hospital core IT systems, and so place no extra burden on the clinical staff providing care. Such risk models could provide a metric for use in evidence-based clinical performance management. National application is logistically feasible.

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