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

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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.
Original languageEnglish
Title of host publication2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)
Publisher IEEE
Pages622-627
ISBN (Electronic)978-1-7281-2286-1
ISBN (Print)978-1-7281-2287-8
DOIs
Publication statusPublished - 05 Aug 2019

Publication series

Name 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)
PublisherIEEE
ISSN (Print)2372-9198

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Keywords

  • Healthcare 4.0
  • real time alerts
  • performance
  • frailty models

Cite this

Marshall, A. H., & Novakovic, A. (2019). Analysing the Performance of a Real-Time Healthcare 4.0 System using Shared Frailty Time to Event Models. In 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS) (pp. 622-627). ( 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)). IEEE . https://doi.org/10.1109/CBMS.2019.00129