Department of Clinical Neuroscience (CNS) K8, Karolinska Institutet, Sweden.
Int J Occup Saf Ergon. 2022 Jun;28(2):1311-1315. doi: 10.1080/10803548.2021.1899608. Epub 2021 Mar 29.
This study aimed to identify problems with the use of flight data monitoring (FDM) and incident report systems in an airline, present considerations for improvement and suggest a model of how these considerations relate to increased flight safety and lower costs. Data were collected from information technology systems and interviews with managers in key positions. The study involved identification and evaluation of available sources of FDM and incident reports, interviews with people in positions with ownership of change, relevant perspectives of safety-related challenges and model creation. Problems include the sheer amount of data collected, floor and ceiling effects, arbitrary cut-off points and lack of interconnectivity with other sources. The incident report system has practical problems (user-interface rigidity, online dependency), unclear responsibility for the overall process and disagreement on what requires follow-up, resulting in fewer reports getting written. Put together, detection of dysfunctional patterns is difficult. Simple proactive interventions using the current data and report systems can ensure higher levels of flight safety and lower costs. This begins with ecologically valid FDM providing a basis for efficient identification and handling of incident reports, which enables learning from malpractices and facilitates communication between management and flying staff.
本研究旨在确定航空公司在使用飞行数据监测(FDM)和事件报告系统方面存在的问题,提出改进的考虑因素,并提出一个模型,说明这些考虑因素如何与提高飞行安全性和降低成本相关。数据来自信息技术系统和对关键职位经理的访谈。该研究涉及对可用的 FDM 和事件报告源的识别和评估、对具有变革所有权的人员的访谈、与安全相关挑战的相关观点以及模型的创建。问题包括收集到的数据量巨大、地板和天花板效应、任意截止点以及与其他来源缺乏互联性。事件报告系统存在实际问题(用户界面僵硬、在线依赖性),对整个过程的责任不明确,以及对需要跟进的内容存在分歧,导致报告数量减少。总的来说,很难发现功能失调的模式。使用当前的数据和报告系统进行简单的主动干预,可以确保更高水平的飞行安全和更低的成本。这从具有生态有效性的 FDM 开始,为有效识别和处理事件报告提供了基础,从而能够从不当行为中学习,并促进管理层和飞行人员之间的沟通。