Special Issue 7

Call for Papers

Special Issue: Engineering and Systemic Approaches for Managing Healthcare 5.0 in Smart Health Systems
Guest Editors: Dr. Sibo Qiao and Dr. Cong Liu

Focus, Scope, and Rationale

The healthcare industry is undergoing a profound transformation, driven by the integration of AI, IoMT, and advanced data analytics, marking the shift to Healthcare 5.0. This new era envisions personalized, autonomous, and interconnected healthcare systems that leverage intelligent technologies. However, this transformation brings challenges in system integration, scalability, and management that require innovative engineering and operational strategies to effectively implement and scale these advancements.

This special issue aims to consolidate cutting-edge research that integrates engineering and systemic approaches with the core domains of Healthcare 5.0 management in smart health systems. By bringing together studies from engineering, healthcare informatics, operations and project management, systems science, and multidisciplinary fields, this issue will highlight innovative methodologies, system frameworks, decision-support tools, and empirical applications that enable scalable, resilient, secure, and efficient healthcare ecosystems addressing critical challenges, such as integration and interoperability, real-time decision support, cybersecurity and privacy protection, governance and risk management, and sustainable implementation pathways.

The rationale for this special issue is to provide a comprehensive platform for researchers and practitioners to explore the most pressing issues in the management of Healthcare 5.0, with a focus on innovative engineering solutions, scalable system designs, and operational strategies that can drive the successful implementation of smart health systems worldwide.

Topics of Interest

• Design and optimization of intelligent healthcare systems.

• Engineering frameworks for integrating AI, IoMT, and data analytics.

• Smart infrastructure for supporting real-time healthcare services.

• System-level management strategies for scalable healthcare systems.

• Multi-layered architecture for smart health ecosystems.

• Interoperability and seamless integration of heterogeneous systems.

• AI-driven decision support systems for clinical and operational management.

• Autonomous systems for real-time monitoring and diagnostics.

• Robotics and AI applications in personalized care and surgery.

• Big data analytics and predictive modeling for resource management.

• Real-time data processing and decision-making in healthcare settings.

• Privacy-preserving techniques in healthcare data management.

• Integration of IoMT devices in real-time healthcare systems.

• Edge computing for low-latency, decentralized healthcare applications.

• Security and scalability challenges in IoMT and edge healthcare systems.

• Project management methodologies for the implementation of smart health systems.

• Risk management and quality assurance in smart healthcare projects.

• Agile, lean, and hybrid project management models for healthcare innovation.

• Advanced security protocols for IoMT and medical data exchange.

• Blockchain solutions for secure and transparent healthcare transactions.

• Privacy-enhancing technologies and compliance in healthcare data systems.

• Sustainable practices in healthcare infrastructure and resource management.

• Resilient healthcare systems for responding to emergencies and pandemics.

• Designing scalable and adaptable healthcare systems for future demands.

• Optimization techniques for healthcare supply chains and service delivery.

• Resource allocation models for efficient healthcare management.

• Simulation models for healthcare system design and evaluation.

• Personalized healthcare models powered by AI and smart technologies.

• Patient engagement and decision-making in Healthcare 5.0.

• Telemedicine and remote care solutions for patient-centric healthcare delivery.

Peer Review Process