Improving Risk Management Through Cyberspace: Optimizing Neonatal Respiratory Support Through Network-Oriented Modeling

Yassine Sebahi, Fakhra Jabeen, Jan Treur*, H. Rob Taal, Peter H.M.P. Roelofsma

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

Abstract

This chapter presents an approach to enhancing neonatal care through the application of artificial intelligence (AI). Utilizing network-oriented modeling methodologies, the study aims to develop a network model to improve outcomes in neonatal respiratory support. The introduction sets the stage by outlining the significance of neonatal respiratory support and the challenges faced in this domain. The literature review delves into the existing body of work, highlighting the gaps and the need for a network modeling approach. The network-oriented modeling approach provides a robust framework that captures various states, such as world states, doctors’ mental states, and AI coach states, facilitating a comprehensive understanding of the complex interactions in neonatal respiratory support. Through Matlab simulations, the study investigates multiple scenarios, from optimal conditions to deviations from standard protocol. The main contribution focuses on the introduction of an AI coach, which serves as a real-time intervention mechanism to fill in the doctor's knowledge gaps. The research serves as a seminal work in the intersection of artificial intelligence and healthcare, demonstrating the potential of network-oriented modeling in improving patient outcomes and streamlining healthcare protocols.

Original languageEnglish
Title of host publicationUsing Shared Mental Models and Organisational Learning to Support Safety and Security Through Cyberspace: A Computational Analysis Approach
EditorsPeter H.M.P. Roelofsma, Fakhra Jabeen, H. Rob Taal, Jan Treur
PublisherSpringer Nature Switzerland AG
Pages217-231
Number of pages15
ISBN (Electronic)9783031720758
ISBN (Print)9783031720741, 9783031720772
DOIs
Publication statusPublished - 2024

Publication series

NameStudies in Systems, Decision and Control
PublisherSpringer
Volume570
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

Bibliographical note

Online published: 03 January 2025.

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

  • Adaptive network model
  • AI coach
  • Infant care

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