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医疗设备的最佳可用性测试程序生成

Optimal Usability Test Procedure Generation for Medical Devices.

作者信息

Shin Jeehoon, Lee Hyuk

机构信息

College of Informatics, Korea University, Seoul 02841, Republic of Korea.

Department of Computer Engineering, Changwon National University, Changwon 51140, Republic of Korea.

出版信息

Healthcare (Basel). 2023 Jan 18;11(3):296. doi: 10.3390/healthcare11030296.

DOI:10.3390/healthcare11030296
PMID:36766871
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9914048/
Abstract

Medical device usability testing offers many benefits, including finding medical device usage errors and providing safety to users. As usability testing becomes mandatory for medical devices, manufacturers are increasing the cost burden. In order to perform a high-quality usability test, it is important to implement a usability test procedure, but guidelines for this are lacking. In this paper, we propose a method to systematically design and implement a usability test procedure. We propose methods to reduce test time-costs and apply them to implement the final procedure. Next, by applying the proposed method to sinus surgical navigation system, it is shown that the total time was reduced by 21% compared to the usability summative test procedure previously used in the same system.

摘要

医疗设备可用性测试有诸多益处,包括发现医疗设备使用错误并为用户提供安全保障。随着可用性测试成为医疗设备的强制要求,制造商的成本负担日益加重。为了进行高质量的可用性测试,实施可用性测试程序很重要,但目前缺乏相关指导方针。在本文中,我们提出一种系统设计和实施可用性测试程序的方法。我们提出了减少测试时间成本的方法,并将其应用于实施最终程序。接下来,通过将所提出的方法应用于鼻窦手术导航系统,结果表明与该系统先前使用的可用性总结性测试程序相比,总时间减少了21%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4424/9914048/b4774c5375cc/healthcare-11-00296-g015.jpg
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本文引用的文献

1
: User Interface Software Errors in Medical Devices: Study of U.S. Recall Data.医疗设备中的用户界面软件错误:美国召回数据研究
Biomed Instrum Technol. 2019 May/Jun;53(3):182-194. doi: 10.2345/0899-8205-53.3.182.
2
Ten factors to consider when developing usability scenarios and tasks for health information technology.开发健康信息技术可用性场景和任务时需要考虑的十个因素。
J Biomed Inform. 2018 Feb;78:123-133. doi: 10.1016/j.jbi.2018.01.001. Epub 2018 Jan 9.
3
Designing medical technology for resilience: integrating health economics and human factors approaches.
医疗保健的整体以人为中心的数字化需要集成的自动化系统级评估工具。
J Med Internet Res. 2023 Dec 20;25:e50158. doi: 10.2196/50158.
设计具有复原力的医疗技术:整合健康经济学与人为因素方法。
Expert Rev Med Devices. 2018 Jan;15(1):15-26. doi: 10.1080/17434440.2018.1418661. Epub 2017 Dec 20.
4
An extended protocol for usability validation of medical devices: Research design and reference model.医疗器械可用性验证的扩展协议:研究设计与参考模型。
J Biomed Inform. 2017 May;69:99-114. doi: 10.1016/j.jbi.2017.03.010. Epub 2017 Mar 21.
5
The usability of ventilators: a comparative evaluation of use safety and user experience.呼吸机的可用性:使用安全性和用户体验的比较评估。
Crit Care. 2016 Aug 20;20:263. doi: 10.1186/s13054-016-1431-1.
6
A Comprehensive Approach for the Ergonomic Evaluation of 13 Emergency and Transport Ventilators.一种对13种急救和转运呼吸机进行人体工程学评估的综合方法。
Respir Care. 2016 May;61(5):632-9. doi: 10.4187/respcare.04292.
7
Why you need to include human factors in clinical and empirical studies of in vitro point of care devices? Review and future perspectives.
Expert Rev Med Devices. 2016;13(4):405-16. doi: 10.1586/17434440.2016.1154277. Epub 2016 Feb 29.
8
Robotic surgery simulation validity and usability comparative analysis.机器人手术模拟的有效性和可用性对比分析
Surg Endosc. 2016 Sep;30(9):3720-9. doi: 10.1007/s00464-015-4667-y. Epub 2015 Nov 18.
9
Usability standards meet scenario-based design: challenges and opportunities.可用性标准与基于场景的设计相遇:挑战与机遇
J Biomed Inform. 2015 Feb;53:243-50. doi: 10.1016/j.jbi.2014.11.008. Epub 2014 Nov 25.
10
Improvement of design of a surgical interface using an eye tracking device.使用眼动追踪设备改进手术界面设计。
Theor Biol Med Model. 2014 May 7;11 Suppl 1(Suppl 1):S4. doi: 10.1186/1742-4682-11-S1-S4.