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Integrating Smart Health Solutions in Disaster Preparedness Strategies
Hamidreza Rasouli Panah1, Samaneh Madanian1, Jian Yu1
1Department of Computer Science and Software Engineering, AUT, Auckland, New Zealand.
Smart health technologies like AI and IoT are vital for disaster preparedness, improving healthcare resilience through real-time monitoring and remote care. Addressing challenges like data security is key to effective implementation.
Area of Science:
- Public Health
- Health Informatics
- Emergency Medicine
Background:
- Disasters are increasing in frequency and severity, necessitating robust healthcare system resilience.
- Smart health technologies offer innovative solutions for disaster preparedness and response.
- Integrating these technologies is crucial for mitigating health impacts during crises.
Purpose of the Study:
- To explore the role of smart health technologies in disaster management.
- To identify challenges and opportunities in implementing these technologies.
- To highlight future directions for enhancing disaster preparedness.
Main Methods:
- Literature review of smart health technologies in disaster contexts.
- Analysis of case studies on AI and IoT in disaster management (e.g., COVID-19, natural disasters).
- Discussion of challenges such as interoperability, data security, and adoption barriers.
Main Results:
- Technologies like telemedicine, IoT, wearables, EHRs, mHealth, and AI enable real-time monitoring, remote healthcare, and predictive analytics.
- Case studies demonstrate the effectiveness of AI and IoT in managing health crises.
- Key challenges include interoperability, data security, and user adoption.
Conclusions:
- Smart health technologies are essential for enhancing healthcare resilience during disasters.
- Advancements in AI and IoT, coupled with strategic partnerships, are crucial for overcoming barriers.
- Future efforts should focus on continued technological innovation and collaborative implementation strategies.
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