의료 재난 시기 동작소방서 119구급대의 소요 시간 변화와 현직 구급대원들의 AI 이송 지원 시스템 도입에 대한 인식조사

초록

This study analyzes EMS response time changes at Dongjak Fire Station during medical disasters and proposes an AI-assisted transport support system. A Welch's t-test and Mann-Whitney U test on 63,392 transports(from 110,110 records) assessed delays, while a survey of 102 paramedics provided qualitative insights. Significant delays were confirmed across all crisis stages (p<0.001), with notable on-scene time increases versus pre-COVID-19, suggesting hospital selection difficulties as a possible contributing factor. Among paramedics, 57.9% rated the real-time bed information sharing system as inconsistent with actual conditions(median=2.0), and 78.4% relied on direct phone calls to secure beds. Additionally, 53.9% lacked knowledge of out-of-jurisdiction hospitals, compounding these difficulties. Medical crises increased overall EMS operation times, reducing efficiency, and the existing system exacerbated these challenges. With 71.6% endorsing the need for an AI-assisted transport support system, introducing such a system reflecting real-time treatment capacity is urgent, alongside legal and institutional frameworks to strengthen hospital data accountability and prevent unreasonable patient refusal.

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