Timely patient data-driven resource planning to optimize in-hospital emergent evacuation.

IF 2.4
Shu-Chen Kuo, Shih-Hsin Hung, Kuan-Jui Tseng, An-Yeh Lin, Shin-Shang Chou
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Abstract

Background: Hospital fires pose significant threats, yet Hospital Incident Command Centers (HICS) often lack standardized methods for assessing the evacuation devices and workforce needed for patients of varying illness severity. Frontline nurses typically rely on personal experience and paper-based assessments, leading to communication challenges and workforce shortages, particularly during night shifts. The Emergency Evacuation Information System (EEIS) was developed to connect hospital information systems and patient data, optimizing evacuation efficiency.

Methods: This mixed-methods study consisted of four phases: (1) Twenty-nine senior nurses participated in three expert group discussions, and the meeting minutes were thematically analyzed to develop a draft EEIS evacuation framework; (2) the accuracy of the EEIS draft algorithms was tested by retrieving evacuation data and validated through accuracy assessment methods; (3) the EEIS was implemented hospital-wide, with consistency between EEIS and nurse assessment data validated using kappa agreement; (4) think-aloud methods with four preset questions collected in-charge nurses' feedback during fire drills.

Results: In phase 1, an evacuation framework was established covering ward resources, patient evacuation devices, and hospital support resources. Phase 2 involved building the EEIS by integrating patient data from multiple systems, achieving 100% accuracy. In phase 3, EEIS-managed units in general wards and intensive care units showed excellent agreement with nurse assessments ( κ = 0.974, p < 0.000; 0.86, p < 0.000). In phase 4, feedback from 21 in-charge nurses after fire drills emphasized the need for accessible power outlets and wireless network connectivity outside the building to optimize response procedures.

Conclusion: The EEIS rapidly provides adequate resources to nurses and facilitates communication with the HICS, ensuring the efficient and safe evacuation of patients. This system can be implemented in other digitized hospitals, with future developments potentially integrating the EEIS with local fire departments to enhance rescue operations.

及时的病人数据驱动的资源规划,以优化院内紧急疏散。
背景:医院火灾构成了重大威胁,但医院事故指挥中心(HICS)往往缺乏标准化的方法来评估不同疾病严重程度患者所需的疏散设备和劳动力。一线护士通常依靠个人经验和书面评估,导致沟通困难和劳动力短缺,特别是在夜班期间。开发了紧急疏散信息系统(EEIS),将医院信息系统与患者数据连接起来,优化疏散效率。方法:本研究分为四个阶段:(1)29名老年护士参加3次专家小组讨论,对会议纪要进行专题分析,制定EEIS疏散框架草案;(2)通过检索疏散数据对EEIS草案算法的准确性进行检验,并通过准确性评估方法进行验证;(3)在全院范围内实施了EEIS,并使用kappa协议验证了EEIS与护士评估数据的一致性;(4)在消防演练过程中,采用有声思考的方法,预置4个问题,收集主管护士的反馈。结果:在第一阶段,建立了一个涵盖病房资源、患者疏散设备和医院支持资源的疏散框架。第二阶段涉及通过整合来自多个系统的患者数据来构建EEIS,达到100%的准确性。在第三阶段,EEIS管理的普通病房和重症监护病房与护士评估的一致性非常好(kappa=0.974, p)。结论:EEIS快速为护士提供了充足的资源,并促进了与HICS的沟通,确保了患者的高效安全疏散。该系统可以在其他数字化医院实施,未来的发展可能会将EEIS与当地消防部门整合,以加强救援行动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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