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一种用于评估安全关键型医疗系统可学习性的启发式矩阵。

A heuristics matrix for evaluating the learnability of safety critical medical systems.

作者信息

Turner Jessica, Bowen Judy, Moxham-Bettridge Veela

出版信息

Comput Struct Biotechnol J. 2025 Sep 11;28:359-370. doi: 10.1016/j.csbj.2025.09.001. eCollection 2025.

Abstract

The increasing use of medical devices in non-clinical settings has elevated the importance of learnability, a key aspect of usability, that is defined as how easily users can learn to operate a system. While learnability is recognised in international usability standards, its varied definitions and inconsistent application emphasise the need for more targeted evaluation methods. This paper addresses this gap by proposing a framework for assessing learnability based on user experience levels and context of use. We define a set of user categories and introduce a learnability matrix to evaluate how different types of users, such as patients, caregivers, and medical professionals, interact with medical technologies. To illustrate the methodology, we perform a case study using the Medtronic MiniMed 770G insulin pump system. Our analysis shows that while primary and secondary users are often well-supported, passive, infrequent or adhoc users may face challenges in learning to use the device effectively in emergency settings. These findings underscore the need for more inclusive design and evaluation approaches that account for multiple user roles, to improve the safety and usability of home-based medical technologies.

摘要

医疗设备在非临床环境中的使用日益增加,这提升了可学习性的重要性,可学习性是可用性的一个关键方面,定义为用户学习操作一个系统的难易程度。虽然可学习性在国际可用性标准中得到认可,但其多样的定义和不一致的应用凸显了对更具针对性的评估方法的需求。本文通过提出一个基于用户体验水平和使用情境来评估可学习性的框架,解决了这一差距。我们定义了一组用户类别,并引入了一个可学习性矩阵,以评估不同类型的用户,如患者、护理人员和医疗专业人员,如何与医疗技术进行交互。为了说明该方法,我们使用美敦力MiniMed 770G胰岛素泵系统进行了一个案例研究。我们的分析表明,虽然主要用户和次要用户通常得到了很好的支持,但被动、不常使用或临时用户在紧急情况下学习有效使用该设备时可能会面临挑战。这些发现强调了需要更具包容性的设计和评估方法,以考虑多个用户角色,从而提高家庭医疗技术的安全性和可用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a92/12475575/85f17a755720/gr001.jpg

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