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

doi:10.1007/978-3-031-72075-8_7

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

Safety and Security Science

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-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 language	English
Title of host publication	Using Shared Mental Models and Organisational Learning to Support Safety and Security Through Cyberspace
Subtitle of host publication	A Computational Analysis Approach
Editors	Peter H.M.P. Roelofsma, Fakhra Jabeen, H. Rob Taal, Jan Treur
Place of Publication	Cham
Publisher	Springer
Pages	217-231
Number of pages	15
ISBN (Electronic)	978-3-031-72075-8
ISBN (Print)	978-3-031-72074-1, 978-3-031-72077-2
DOIs	https://doi.org/10.1007/978-3-031-72075-8_7
Publication status	Published - 2024

Publication series

Name	Studies in Systems, Decision and Control
Publisher	Springer
Volume	570
ISSN (Print)	2198-4182
ISSN (Electronic)	2198-4190

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Adaptive network model
AI coach
Infant care

Access to Document

10.1007/978-3-031-72075-8_7

Cite this

Sebahi, Y., Jabeen, F., Treur, J., Rob Taal, H., & Roelofsma, P. H. M. P. (2024). Improving Risk Management Through Cyberspace: Optimizing Neonatal Respiratory Support Through Network-Oriented Modeling. In P. H. M. P. Roelofsma, F. Jabeen, H. R. Taal, & J. Treur (Eds.), Using Shared Mental Models and Organisational Learning to Support Safety and Security Through Cyberspace: A Computational Analysis Approach (pp. 217-231). (Studies in Systems, Decision and Control; Vol. 570). Springer. https://doi.org/10.1007/978-3-031-72075-8_7

Sebahi, Yassine ; Jabeen, Fakhra ; Treur, Jan et al. / Improving Risk Management Through Cyberspace : Optimizing Neonatal Respiratory Support Through Network-Oriented Modeling. Using Shared Mental Models and Organisational Learning to Support Safety and Security Through Cyberspace: A Computational Analysis Approach. editor / Peter H.M.P. Roelofsma ; Fakhra Jabeen ; H. Rob Taal ; Jan Treur. Cham : Springer, 2024. pp. 217-231 (Studies in Systems, Decision and Control).

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Sebahi, Y, Jabeen, F, Treur, J, Rob Taal, H & Roelofsma, PHMP 2024, Improving Risk Management Through Cyberspace: Optimizing Neonatal Respiratory Support Through Network-Oriented Modeling. in PHMP Roelofsma, F Jabeen, HR Taal & J Treur (eds), Using Shared Mental Models and Organisational Learning to Support Safety and Security Through Cyberspace: A Computational Analysis Approach. Studies in Systems, Decision and Control, vol. 570, Springer, Cham, pp. 217-231. https://doi.org/10.1007/978-3-031-72075-8_7

Improving Risk Management Through Cyberspace: Optimizing Neonatal Respiratory Support Through Network-Oriented Modeling. / Sebahi, Yassine; Jabeen, Fakhra; Treur, Jan et al.
Using Shared Mental Models and Organisational Learning to Support Safety and Security Through Cyberspace: A Computational Analysis Approach. ed. / Peter H.M.P. Roelofsma; Fakhra Jabeen; H. Rob Taal; Jan Treur. Cham: Springer, 2024. p. 217-231 (Studies in Systems, Decision and Control; Vol. 570).

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

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Sebahi Y, Jabeen F, Treur J, Rob Taal H, Roelofsma PHMP. Improving Risk Management Through Cyberspace: Optimizing Neonatal Respiratory Support Through Network-Oriented Modeling. In Roelofsma PHMP, Jabeen F, Taal HR, Treur J, editors, Using Shared Mental Models and Organisational Learning to Support Safety and Security Through Cyberspace: A Computational Analysis Approach. Cham: Springer. 2024. p. 217-231. (Studies in Systems, Decision and Control). doi: 10.1007/978-3-031-72075-8_7

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

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