Intelligent mobile voice information centre system: Taking the emergency triage support system as an example

Area of Science:

• * Emergency Medicine
• * Telecommunications
• * Human-Computer Interaction

Background:

• * Taiwan leads globally in mobile phone penetration, with widespread use for emergency calls.
• * Traditional emergency call systems often lack active user control and efficient data input.
• * There is a need for advanced communication systems in emergency medical services.

Purpose of the Study:

• * To develop and evaluate a novel, voice-activated emergency call system for Taiwan.
• * To integrate active user command capabilities with traditional passive call flows.
• * To assess the system's performance in realistic emergency scenarios.

Main Methods:

• * Development of a voice-activated system using Automatic Speech Recognition (ASR) and Text-to-Speech (TTS).
• * Integration with a voice management center acting as an Emergency Room (ER) triage decision system.
• * Testing across three scenarios: Dead on Arrival (DOA), mass casualty incidents, and critical trauma.

Main Results:

• * Achieved a voice recognition rate exceeding 90% across all tested scenarios.
• * Demonstrated efficient communication transfer, with DOA notifications completed in an average of 38 seconds.
• * Recorded average completion times: DOA (38.6s), mass casualties (20s), critical trauma (252.7s).

Conclusions:

• * The developed system significantly enhances communication speed and convenience for emergency medical services.
• * While patient data input requires optimization, the system proves highly efficient for critical notifications.
• * Future work includes integrating Internet platforms, WiFi, and soft phones for broader applications.