Supporting Risk Management Through Cyberspace: An Adaptive Network Model Simulating AI Coach Effects by Inducing Adherence to Guidelines in Neonatal Medical Protocols

Raghav Chawla, 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

In this chapter, it is shown how second-order adaptive agent-based network models can be used to support a medical team in healthcare institutions to adhere to specific Neonatal Hypoglycemia and Neonatal Hyperbilirubinemia treatment guidelines through the integration of an Artificial Intelligence (AI) Virtual Coach. The proposed AI Coach is designed to provide timely interventions and correct deviations when lapses in the health care practitioner’s internal mental model occur. Through simulating three different scenarios, the internal dynamics of these mental models, adaptive changes of these mental models (learning and forgetting), and the interaction between health care practitioners and the world is shown when: (1) There is perfect adherence to guidelines, (2) There is imperfect adherence to guidelines and (3) There is both perfect and imperfect adherence to guidelines alongside interventions of the AI Coach in the latter case.

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
Pages167-216
Number of pages50
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.

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