Gangwon Fire Department, 'Golden Time & Survival Rate Up'... The Nation's First Case of 'Artificial Intelligence Emergency Platform'

Prediction of Emergency Demand... 'Effect of Reducing Average On-Site Arrival Time by 33 Seconds'

Gangwon Fire Department Artificial Intelligence Platform Project Promotion [Provided by Gangwon Fire Department Headquarters]

[Asia Economy Reporter La Young-cheol] The Gangwon Fire Headquarters is promoting a platform project that introduces artificial intelligence (AI) to emergency medical scenes for the first time nationwide to predict emergency medical demand.

According to the provincial fire headquarters on the 29th, this project is a 119 ambulance patrol dispatch system based on big data, with the core goal of predicting emergency demand and proactively dispatching ambulances.

Unlike the existing method of dispatching after receiving a report, new technologies such as big data and AI have been applied to secure the golden time for severe emergency patients in cardiac arrest and to provide life protection services to the public.

Gangwon Fire confirmed the effectiveness of the project by reducing the average on-site arrival time by 33 seconds during two pilot operations from 2019 to 2020.

Based on this, the project completed verification of feasibility, practicality, and appropriateness for the 'Intelligent Emergency Demand Prediction Platform Construction Plan' ISP and POC (Proof of Concept) project led by the Ministry of Science and ICT.

Additionally, simulation results during verification showed a reduction of 1.7 km in average dispatch distance and 4 minutes in average dispatch time, indicating the possibility of securing golden time and improving survival rates of emergency patients.

Gangwon Fire plans to expand the scope nationwide to fire, rescue, and daily safety fields after confirming results through pilot operation next year.

Through project completion, Gangwon Fire expects to improve the survival rate of on-site arrivals within 5 minutes by more than 25%, increase the survival possibility of 621 cardiac arrest patients over the next five years, and reduce annual medical costs by 220 billion won.

This content was produced with the assistance of AI translation services.