A Novel Artificial Intelligence-Enhanced Digital Network for Prehospital Emergency Support: Community Intervention...

Area of Science:

• Emergency medicine
• Artificial intelligence in healthcare
• Digital health platforms

Background:

• Efficient emergency patient transport is critical but faces challenges.
• The CONNECT-AI platform uses AI for real-time prehospital medical information sharing.
• This system aims to improve emergency medical services.

Purpose of the Study:

• To evaluate the effectiveness of the CONNECT-AI system in reducing patient transport delays.
• To assess the impact of AI-driven decision support on prehospital care.

Main Methods:

• A community-based, nonrandomized controlled intervention study in two South Korean regions.
• The CONNECT-AI system utilized 5G and IoT devices for real-time data collection and AI services.
• Services included first aid guidance, critical patient prediction, and optimal hospital recommendations.

Main Results:

• Overall transport time outliers were slightly higher in the intervention group, but significantly reduced in one region.
• The system significantly reduced outlier cases for patients with fever or respiratory symptoms.
• Mortality was significantly lower in the system-guided optimal hospital transfer group (1.54% vs. 0.64%).

Conclusions:

• The CONNECT-AI platform offers a novel approach to emergency patient transport using AI and real-time data.
• Improvements were noted for specific patient groups, but further research is needed for broader application.
• The system shows potential for enhancing emergency care coordination and outcomes.