Janß A, Radermacher K
Lehrstuhl für Medizintechnik, RWTH Aachen, Pauwelsstr. 20, 52074, Aachen, Deutschland,
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2014 Dec;57(12):1384-92. doi: 10.1007/s00103-014-2063-8.
Due to increasing automation, the number and complexity of technical components have increased in the medical context (e.g., in the clinic or in the home care sector) in recent years. Besides new effective and efficient therapeutic and diagnostic options, these devices entail a wide range of functions and very complex (often computer-based) user interfaces that may lead to human-induced risk potential. A systematic and early human risk analysis and a usability evaluation allow medical device manufacturers to identify and control risks within the human-machine interaction very efficiently. At the Department of Medical Engineering in the Helmholtz Institute for Biomedical Engineering at the RWTH Aachen University, a formal-analytical methodology and a corresponding software tool for prospective human-risk analysis and model-based usability evaluation has been developed. Based on a twofold approach, user interactive process sequences and their potential impacts on the overall process are identified and the resulting use-related risks are assessed. For this, the tasks are categorized (in system and user tasks) and modeled and temporally related within the framework of a high-level task analysis. Within a subsequent cognitive low-level task analysis, potentially critical parallel process sequences are then tested in order to detect a potential resource overload of the user. The subsequent corresponding human-risk analysis is developed according to a knowledge base (checklist) of taxonomies related to human error. The HiFEM (human-function effect modeling) methodology is universally applicable and can be used for the evaluation of human-computer interfaces as well as for the analysis of purely mechanical control interfaces and simple hand-held instruments (such as a scalpel and implant). In a comparative study, the HiFEM method clearly outperforms the classic FMEA (failure modes and effects analysis) process with regard to effectiveness, efficiency, learnability, and user satisfaction. Especially small and medium-sized enterprises that constitute the medical device industry can be supported by the new methodology in the context of risk management according to ISO 14971 as well as usability engineering in accordance with IEC 62366 and IEC 60601-1-6 as well as EN ISO 9241.
近年来,由于自动化程度不断提高,医疗环境(如诊所或家庭护理领域)中技术组件的数量和复杂性有所增加。除了新的有效且高效的治疗和诊断选项外,这些设备还具备广泛的功能以及非常复杂(通常基于计算机)的用户界面,这可能会带来人为风险。系统且早期的人为风险分析和可用性评估使医疗设备制造商能够非常有效地识别和控制人机交互中的风险。在亚琛工业大学亥姆霍兹生物医学工程研究所的医学工程系,已经开发出一种形式分析方法以及相应的软件工具,用于前瞻性人为风险分析和基于模型的可用性评估。基于双重方法,识别用户交互过程序列及其对整个过程的潜在影响,并评估由此产生的与使用相关的风险。为此,在高级任务分析框架内对任务进行分类(分为系统任务和用户任务)、建模并建立时间关联。在随后的认知低级任务分析中,对潜在关键的并行过程序列进行测试,以检测用户潜在的资源过载情况。随后的相应人为风险分析是根据与人为错误相关的分类法知识库(检查表)进行的。HiFEM(人体功能效应建模)方法具有普遍适用性,可用于评估人机界面以及分析纯机械控制界面和简单手持器械(如手术刀和植入物)。在一项比较研究中,HiFEM方法在有效性、效率、可学习性和用户满意度方面明显优于经典的FMEA(故障模式和影响分析)过程。特别是构成医疗设备行业的中小企业,可在根据ISO 14971进行风险管理以及按照IEC 62366、IEC 60601-1-6和EN ISO 9241进行可用性工程的背景下,得到这种新方法的支持。