Co-design of digital learning resources for care workers: reflections on the neurocare knowhow project.

Q3 Engineering
Cathy Soreny, Philippa Takhar, Emma Vickers, Rebecca Bartlett, Elizabeth Coates, Theocharis Stavroulakis, Emily Fox, Heather Davidson, Adam Harrison, Christopher McDermott
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引用次数: 2

Abstract

Neurocare Knowhow is an online learning platform for care workers who support people with neurological conditions. Care workers often do not receive specialist training around neurological conditions and can experience anxiety and apprehension about caring for this group. Neurocare Knowhow aims to increase care workers' knowledge and confidence. Featuring flexible and personalisable digital features, in combination with documentary video and audio, it offers an alternative to traditional e-learning, moving away from longform didactic courses to flexible on-the-go learning. This co-design project worked closely with people with neurological conditions, their families, care workers and care organisation managers to validate the need and develop a proof of concept pilot. Co-design activity took place across multiple workshops in person and online. These gathered detailed insights into preferred features that support engaging online learning. The platform offers learning across diverse neurological conditions as a whole, with a focus on shared symptoms and challenges encountered by people with neurological conditions. Ongoing development to scale the pilot up to meet an anticipated national audience includes a focus on artificial intelligence to support searches at a moment of need and a range of personalisable features for individual and team learning.

护理人员数字化学习资源的协同设计:对神经护理知识项目的思考。
Neurocare know是一个在线学习平台,面向为神经系统疾病患者提供支持的护理工作者。护理人员通常没有接受过有关神经系统疾病的专业培训,在照顾这一群体时可能会感到焦虑和忧虑。神经护理知识旨在增加护理人员的知识和信心。它具有灵活和个性化的数字功能,结合纪录片视频和音频,为传统的电子学习提供了另一种选择,从冗长的教学课程转向灵活的即时学习。这个共同设计项目与神经系统疾病患者、他们的家人、护理人员和护理组织经理密切合作,以验证需求并开发概念验证试点。共同设计活动在多个面对面和在线研讨会上进行。这些研究收集了支持参与在线学习的首选功能的详细见解。该平台提供各种神经系统疾病的整体学习,重点是神经系统疾病患者遇到的共同症状和挑战。正在进行的扩大试点规模以满足预期的全国受众的开发包括关注人工智能,以支持在需要时进行搜索,以及为个人和团队学习提供一系列个性化功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Medical Engineering and Technology
Journal of Medical Engineering and Technology Engineering-Biomedical Engineering
CiteScore
4.60
自引率
0.00%
发文量
77
期刊介绍: The Journal of Medical Engineering & Technology is an international, independent, multidisciplinary, bimonthly journal promoting an understanding of the physiological processes underlying disease processes and the appropriate application of technology. Features include authoritative review papers, the reporting of original research, and evaluation reports on new and existing techniques and devices. Each issue of the journal contains a comprehensive information service which provides news relevant to the world of medical technology, details of new products, book reviews, and selected contents of related journals.
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