手术机器人的安全设计——一种综合危险识别的系统方法。

IF 1.3 4区 医学 Q4 ENGINEERING, BIOMEDICAL
Lukas Theisgen, Florian Strauch, Matías de la Fuente Klein, Klaus Radermacher
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引用次数: 1

摘要

目的:自20世纪80年代以来,机械臂已经从工业应用转移到骨科手术机器人。不良事件经常发生,并且通常与采用的强大和过大的拟人化手臂有关。FDA的510(k)路径鼓励建立这样的系统,导致采用危害,这被称为“谓词蠕变”。此外,医疗器械开发的危害识别方法需要改进。方法:我们提出了一种方法,通过使用综合的、基于场景的和多视角的观点(PoV)方法来增强一般危害识别和预防谓词蠕变的危害。我们还提出了危险目录(CoH)作为收集和系统化未来风险分析和机器人开发的危险的方法。结果:我们将7个预定义的pov应用于机器人椎板切除术的使用案例,并确定了133种危害,主要来自HMI分析和文献。通过分析FDA的MAUDE和召回数据库,我们能够对历史危害进行分类,并将其纳入用例。结论:PoV方法与CoH相结合适用于整合多种已建立的危害识别方法,增加综合性,支持手术机器人的系统化、基于危害的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Safe design of surgical robots - a systematic approach to comprehensive hazard identification.

Objectives: Since the 1980s, robotic arms have been transferred from industrial applications to orthopaedic surgical robotics. Adverse events are frequent and often associated with the adopted powerful and oversized anthropomorphic arms. The FDA's 510(k) pathway encourages building on such systems, leading to the adoption of hazards, which is known as "predicate creep". Additionally, the methodology of hazard identification for medical device development needs improvement.

Methods: We present an approach to enhance general hazard identification and prevent hazards of predicate creep by using the integrative, scenario-based and multi-perspective Point-of-View (PoV) approach. We also present the Catalogue of Hazards (CoH) as an approach for collecting and systematising hazards for future risk analysis and robot development.

Results: We applied seven predefined PoVs to the use case of robotic laminectomy and identified 133 hazards, mainly coming from HMI analysis and literature. By analysing the MAUDE and recalls databases of the FDA, we were able to classify historical hazards and adopt them into the use case.

Conclusions: The combination of PoV approach and CoH is suitable for integrating multiple established hazard identification methods, increasing comprehensiveness, and supporting the systematic and hazard-based development of surgical robots.

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来源期刊
CiteScore
3.50
自引率
5.90%
发文量
58
审稿时长
2-3 weeks
期刊介绍: Biomedical Engineering / Biomedizinische Technik (BMT) is a high-quality forum for the exchange of knowledge in the fields of biomedical engineering, medical information technology and biotechnology/bioengineering. As an established journal with a tradition of more than 60 years, BMT addresses engineers, natural scientists, and clinicians working in research, industry, or clinical practice.
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