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 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 | 167-216 |
Number of pages | 50 |
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.