A healthcare 5.0 compliant workforce digital twin framework for healthcare personnel in resource-constrained medical facilities in sub-Saharan Africa

Ebun P. Fasina, Babatunde A. Sawyerr, Ayomide I. Hassan, Abdulazeez Murainah, Chika P. Ojiako

Abstract


Successive industrial revolutions have reshaped the way people are managed at work. Each one brought some new inventions that made us rethink how humans and machines fit together. The Fourth Industrial Revolution (4IR) that is currently underway is characterized by a combination of technologies including Artificial Intelligence, Internet of Things, Cloud Computing, Digital Twins and more. And now, Industry 5.0 is starting to shift the focus toward something more human. It is less about pure automation and more about collaboration between humans and machines. The technologies of Industry 4.0 are transforming businesses by facilitating smart and data-driven processes. However, workforce management is a key issue in healthcare despite advancements in healthcare technology. Many healthcare organizations still rely on old-fashioned systems to manage staff. Several challenges such as high turnover rates, burnout, workload imbalances, and limited real-time visibility into operations still exist and hinder healthcare delivery. The existing solutions lack scalability, adaptability, and intelligence, leading to fragmented communication and poor decision-making. This study presents the development of a Workforce Digital Twin (WDT) for healthcare professionals using the Cross-Domain Digital Twin design pattern. This solution offers a transformative step forward in managing healthcare personnel by enabling data-driven, adaptive, and intelligent workforce strategies.

 

Received on, 11 October 2025

Accepted on, 30 November 2025

Published on, 21 December 2025


Keywords


Cross-Domain Digital Twin; Healthcare 5.0; Industry 4.0; Real-time Monitoring; Workforce Digital Twin

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References


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DOI: https://dx.doi.org/10.21622/ACE.2025.05.2.1727

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Copyright (c) 2025 Ebun P. Fasina, Babatunde A. Sawyerr, Ayomide I. Hassan, Abdulazeez Murainah, Chika P. Ojiako

Advances in Computing and Engineering

E-ISSN: 2735-5985

P-ISSN: 2735-5977

 

Published by:

Academy Publishing Center (APC)

Arab Academy for Science, Technology and Maritime Transport (AASTMT)

Alexandria, Egypt

ace@aast.edu