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基于一种新颖的自举建模技术来预测未来十年全地区的重症监护能力需求。

Building on a novel bootstrapping modelling technique to predict region-wide critical care capacity requirements over the next decade.

作者信息

Lawton Tom, Corp Aaron, Horsfield Claire, McCooe Michael, Stonelake Paul, Whiteley Simon

机构信息

Bradford Institute for Health Research, Bradford, UK.

West Yorkshire Critical Care and Major Trauma Operational Delivery Network, Leeds, UK.

出版信息

Future Healthc J. 2023 Mar;10(1):50-55. doi: 10.7861/fhj.2022-0025.

DOI:10.7861/fhj.2022-0025
PMID:37786497
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10538684/
Abstract

We have previously described an open-source data-driven modelling technique that has been used to model critical care resource provision as well as expanded to elective surgery and even whole-hospital modelling. Here, we describe the use of this technique to model patient flow and resource use across the West Yorkshire Critical Care Network, with the advantage that recommendations can be made at an individual unit level for future resource provision, taking into account changes in population numbers and demography over the coming decade. We will be using this approach in other regions around the UK to help predict future critical care capacity requirements.

摘要

我们之前描述过一种开源的数据驱动建模技术,该技术已被用于对重症监护资源供应进行建模,并且已扩展到择期手术甚至全医院建模。在此,我们描述了使用该技术对西约克郡重症监护网络中的患者流和资源使用进行建模的情况,其优势在于可以在个体单位层面就未来资源供应提出建议,同时考虑到未来十年人口数量和人口结构的变化。我们将在英国其他地区使用这种方法,以帮助预测未来的重症监护能力需求。

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Future Healthc J. 2019 Feb;6(1):17-20. doi: 10.7861/futurehosp.6-1-17.
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