This special issue invites submissions from the IEEE International Conference on Advanced Healthcare Systems (ICAHS 2025), (https://sites.google.com/view/icahs2025/home?authuser=0) It focuses on the intersection of computational optimization, intelligent management systems, and advanced computer science methodologies for improving healthcare systems.
Aims and Scope:
We particularly welcome contributions addressing algorithmic solutions for resource allocation, AI-driven decision support, and operations research in healthcare logistics, supply chain management, including pharmaceuticals and medication flows, and patient care processes. Aligned with ICAHS 2025’s multidisciplinary scope, we encourage papers spanning architecture and mechatronics for healthcare facilities and devices; biomedical engineering solutions enhancing diagnosis and treatment; and industrial and organizational engineering approaches optimizing hospital workflows and disease management processes. The issue is equally open to management science research tackling cost-benefit analysis, risk management, and strategic decision-making in healthcare organizations.
We seek innovative studies bridging theoretical advancements, such as metaheuristics, stochastic programming, simulation, and computational modeling, with practical applications like hospital workflow optimization, predictive analytics for patient demand, and care pathway optimization. Interdisciplinary research leveraging artificial intelligence, machine learning, blockchain, or IoT to enhance scalability, sustainability, and precision in healthcare operations is especially encouraged. By bringing together expertise from computational sciences, engineering, and healthcare management, this special issue aims to advance the state of the art in data-driven and algorithmically enhanced healthcare systems. The ultimate goal is to showcase solutions that not only extend theoretical frontiers but also deliver measurable benefits in quality of care, operational efficiency, and system-level decision making, contributing to smarter, safer, and more adaptive health systems.
Topics of Interest:
- Mathematical Optimization for Healthcare Resource Allocation (e.g., staff, equipment, beds, operating rooms, exam room, …).
- AI/ML-driven decision systems for clinical and operational management
- Operations Research in hospital medication logistics and supply chain management.
- Computational modeling of healthcare processes (e.g., Patient Care Processes, Hospital Decision-Making Processes, Clinical Treatment Processes).
- Metaheuristics and stochastic methods for large-scale health system optimization.
- Blockchain and distributed systems for secure health data management.
- IoT and edge computing for real-time monitoring and resource tracking.
- Ethical and policy frameworks for AI/optimization in healthcare.
Submission Guidelines:
Please follow the journal style and the guidelines of MSIT. All authors should submit their paper to the following specific address:
https://msit.refconf.com/journal/authors.note
Expected Dates Schedule (Important Dates):
Submission Deadline: 30 March 2026
Notification of Acceptance: 30 September 2026
Final Version Due: 31 December 2026
Guest Editors:
Prof. Safa Bhar Layeb, Industrial Engineering Center, IMT Mines Albi, University of Toulouse, France
E-mail: [email protected]
Prof. Imen Mejri, LR-OASIS, National Engineering School of Tunis, University of Tunis El Manar, Tunisia Higher Engineering School of Tunis, University of Tunis, Tunisia
E-mail: [email protected]
Prof. Najla Aissaoui, LR-OASIS, National Engineering School of Tunis, University of Tunis El Manar, Tunisia National Engineering School of Carthage, University of Carthage, Tunisia
E-mail: [email protected]
Prof. Sondes Hammami, Université de Tunis El Manar, National Engineering School of Tunis, LR-ACS-ENIT, Laboratory for the Analysis, Design, and Control of Systems, Tunisia
E-mail: [email protected]