Increasing Safety and Security Through Cyberspace by an Adaptive Network Model for AI-Assisted Risk Management of Neonatal Respiratory Distress

Nisrine Mokadem; Fakhra Jabeen; Jan Treur; H. Rob Taal; Peter H.M.P. Roelofsma

doi:10.1007/978-3-031-72075-8_5

Increasing Safety and Security Through Cyberspace by an Adaptive Network Model for AI-Assisted Risk Management of Neonatal Respiratory Distress

Nisrine Mokadem, 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 the use of second-order adaptive network models of hospital teams consisting of doctors and nurses, interacting together. A variety of scenarios are modelled and simulated, in relation with respiratory distress of a neonate, along with the integration of an AI-Coach for monitoring and support of such teams and of organizational learning. The research highlights the benefits of introducing a virtual AI-Coach in a hospital setting. The practical application setting revolves around a medical team responsible for managing neonates with respiratory distress. In this setting an AI-Coach act as an additional team member, to ensure correct execution of medical procedure. Through simulation experiments, the adaptive network models demonstrate that the AI-Coach not only aids in maintaining correct medical procedure execution but also facilitates organizational learning, leading to significant improvements in procedure adherence and error reduction during neonatal care.

Original language	English
Title of host publication	Studies in Systems, Decision and Control
Editors	Peter H.M.P. Roelofsma , Fakhra Jabeen, H. Rob Taal , Jan Treur
Publisher	Springer
Pages	123-166
Number of pages	44
ISBN (Electronic)	978-3-031-72075-8
ISBN (Print)	978-3-031-72074-1
DOIs	https://doi.org/10.1007/978-3-031-72075-8_5
Publication status	Published - 2024

Publication series

Name	Studies in Systems, Decision and Control
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
AI-Coach
Hospital teams
Organizational learning
Respiratory distress

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-72075-8_5

Cite this

Mokadem, N., Jabeen, F., Treur, J., Rob Taal, H., & Roelofsma, P. H. M. P. (2024). Increasing Safety and Security Through Cyberspace by an Adaptive Network Model for AI-Assisted Risk Management of Neonatal Respiratory Distress. In P. H. M. P. Roelofsma , F. Jabeen, H. R. Taal , & J. Treur (Eds.), Studies in Systems, Decision and Control (pp. 123-166). (Studies in Systems, Decision and Control; Vol. 570). Springer. https://doi.org/10.1007/978-3-031-72075-8_5

Mokadem, Nisrine ; Jabeen, Fakhra ; Treur, Jan et al. / Increasing Safety and Security Through Cyberspace by an Adaptive Network Model for AI-Assisted Risk Management of Neonatal Respiratory Distress. Studies in Systems, Decision and Control. editor / Peter H.M.P. Roelofsma ; Fakhra Jabeen ; H. Rob Taal ; Jan Treur . Springer, 2024. pp. 123-166 (Studies in Systems, Decision and Control).

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abstract = "This chapter presents the use of second-order adaptive network models of hospital teams consisting of doctors and nurses, interacting together. A variety of scenarios are modelled and simulated, in relation with respiratory distress of a neonate, along with the integration of an AI-Coach for monitoring and support of such teams and of organizational learning. The research highlights the benefits of introducing a virtual AI-Coach in a hospital setting. The practical application setting revolves around a medical team responsible for managing neonates with respiratory distress. In this setting an AI-Coach act as an additional team member, to ensure correct execution of medical procedure. Through simulation experiments, the adaptive network models demonstrate that the AI-Coach not only aids in maintaining correct medical procedure execution but also facilitates organizational learning, leading to significant improvements in procedure adherence and error reduction during neonatal care.",

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Mokadem, N, Jabeen, F, Treur, J, Rob Taal, H & Roelofsma, PHMP 2024, Increasing Safety and Security Through Cyberspace by an Adaptive Network Model for AI-Assisted Risk Management of Neonatal Respiratory Distress. in PHMP Roelofsma , F Jabeen, HR Taal & J Treur (eds), Studies in Systems, Decision and Control. Studies in Systems, Decision and Control, vol. 570, Springer, pp. 123-166. https://doi.org/10.1007/978-3-031-72075-8_5

Increasing Safety and Security Through Cyberspace by an Adaptive Network Model for AI-Assisted Risk Management of Neonatal Respiratory Distress. / Mokadem, Nisrine; Jabeen, Fakhra; Treur, Jan et al.
Studies in Systems, Decision and Control. ed. / Peter H.M.P. Roelofsma ; Fakhra Jabeen; H. Rob Taal ; Jan Treur . Springer, 2024. p. 123-166 (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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AU - Roelofsma, Peter H.M.P.

N1 - 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.

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AB - This chapter presents the use of second-order adaptive network models of hospital teams consisting of doctors and nurses, interacting together. A variety of scenarios are modelled and simulated, in relation with respiratory distress of a neonate, along with the integration of an AI-Coach for monitoring and support of such teams and of organizational learning. The research highlights the benefits of introducing a virtual AI-Coach in a hospital setting. The practical application setting revolves around a medical team responsible for managing neonates with respiratory distress. In this setting an AI-Coach act as an additional team member, to ensure correct execution of medical procedure. Through simulation experiments, the adaptive network models demonstrate that the AI-Coach not only aids in maintaining correct medical procedure execution but also facilitates organizational learning, leading to significant improvements in procedure adherence and error reduction during neonatal care.

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Mokadem N, Jabeen F, Treur J, Rob Taal H, Roelofsma PHMP. Increasing Safety and Security Through Cyberspace by an Adaptive Network Model for AI-Assisted Risk Management of Neonatal Respiratory Distress. In Roelofsma PHMP, Jabeen F, Taal HR, Treur J, editors, Studies in Systems, Decision and Control. Springer. 2024. p. 123-166. (Studies in Systems, Decision and Control). doi: 10.1007/978-3-031-72075-8_5

Increasing Safety and Security Through Cyberspace by an Adaptive Network Model for AI-Assisted Risk Management of Neonatal Respiratory Distress

Abstract

Publication series

Bibliographical note

Keywords

UN SDGs

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