Analysing the Performance of a Real-Time Healthcare 4.0 System using Shared Frailty Time to Event Models

A. Marshall, Aleksandar Novakovic
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引用次数: 4

Abstract

This paper introduces the real-time Healthcare 4.0 system, the VILIAlert system and a new approach that we propose for the robust assessment of it's performance. The VILIAlert system alerts clinicians when a patient's tidal volume value rises above the clinically accepted level of 8 ml/kg as beyond this point (> 8 ml/kg), a patient is considered high risk of permanent damage to their lungs. In order to ensure success with the VILIAlert system, the ideal scenario is to ensure that as soon as patients in the Intensive Care Unit experience tidal volume values beyond the 8 ml/kg level, a clinical intervention can be carried out so to minimise the risk of patients ever having permanent damage. The approach has been implemented in the Intensive Care Unit at the Royal Victoria Hospital Belfast, Northern Ireland demonstrating the potential for such an approach to be used across all hospitals in the region.
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使用共享脆弱时间到事件模型分析实时医疗保健4.0系统的性能
本文介绍了实时医疗保健4.0系统、VILIAlert系统以及我们提出的一种对其性能进行稳健评估的新方法。当患者的潮气量高于临床可接受的8ml /kg水平(> 8ml /kg)时,VILIAlert系统会向临床医生发出警报,认为患者存在肺部永久性损伤的高风险。为了确保VILIAlert系统的成功,理想的情况是确保重症监护病房的患者一旦经历超过8ml /kg的潮汐量水平,就可以进行临床干预,以尽量减少患者遭受永久性损伤的风险。该办法已在北爱尔兰贝尔法斯特维多利亚皇家医院的重症监护室实施,表明该地区所有医院都有可能采用这种办法。
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