Middleware for reliable mobile medical workflow support in disaster settings

Area of Science:

• Health Informatics
• Computer Science
• Disaster Medicine

Background:

• Mobile information technology offers potential benefits for first responders in disaster scenarios.
• Existing client-server architectures with Cached Remote Objects (CROs) facilitate disconnected operations and data consistency.
• However, prolonged network failures in disaster settings hinder group work, revealing limitations of basic architectures.

Purpose of the Study:

• To address the limitations of existing mobile IT architectures in disaster response.
• To enhance group work capabilities for first responders during network outages.
• To present an extension of the CRO model supporting clustered computing during network failures.

Main Methods:

• Developed an extension of the Cached Remote Objects (CRO) model.
• Implemented a clustered computing approach to support group work.
• Evaluated the system's performance in simulated disaster scenarios.

Main Results:

• The extended CRO model enables group work even during prolonged network failures.
• Clustered computing enhances the reliability and performance of mobile IT support for medical response.
• Ensured data consistency and facilitated disconnected operations across multiple clients.

Conclusions:

• The proposed clustered CRO model significantly improves the resilience of mobile IT systems for disaster medical response.
• This approach supports effective collaboration among first responders despite network disruptions.
• Further development is warranted to fully integrate this technology into real-world disaster management.