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 |
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Title of host publication | Using Shared Mental Models and Organisational Learning to Support Safety and Security Through Cyberspace: A Computational Analysis Approach |
Editors | Peter H.M.P. Roelofsma, Fakhra Jabeen, H. Rob Taal, Jan Treur |
Publisher | Springer Nature Switzerland AG |
Pages | 123-166 |
Number of pages | 44 |
ISBN (Electronic) | 9783031720758 |
ISBN (Print) | 9783031720741, 9783031720772 |
DOIs | |
Publication status | Published - 2024 |
Publication series
Name | Studies in Systems, Decision and Control |
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Publisher | Springer |
Volume | 570 |
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
- AI-Coach
- Hospital teams
- Organizational learning
- Respiratory distress