[技术与护理:从以人为本的同情心出发]。

Q3 Nursing Journal of Nursing Pub Date : 2024-06-01 DOI:10.6224/JN.202406_71(3).01
Chi-Wen Chen
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引用次数: 0

摘要

近年来,科技的飞速发展不仅改变了人们的日常生活,也对医疗保健和护理领域产生了深远的影响。以技术为基础、以人为本的护理方法可用于提供更高效、更准确、更个性化的护理服务,并最终提高我们的生活质量和整体健康水平。首先,智能健康监测系统可以根据个人的健康状况和需求生成定制的健康管理计划,从而更有效地管理慢性疾病并帮助预防疾病的发生。这些系统的例子包括智能配药机(Gargioni 等人,2024 年)和针对老年患者的防跌倒锻炼应用程序(Czuber 等人,2024 年)。此外,在临床环境中,特别是在手术室和重症监护室监测病人的情况下,可视化技术正在利用心理学和认知神经科学原理,利用人类的感官知觉来提高护理人员对信息的理解。病人数据通过不同的形状、颜色和动画频率来呈现,与其他格式(如数字)相比,这些格式能更有效地感知、整合和解释病人数据。这有助于医护人员有效地感知和识别潜在的医疗问题,增强他们的情景意识,帮助他们做出更好的决策,并提高患者的安全性(Gasciauskaite 等人,2023 年)。在康复领域,Krishnan 等人(2024 年)开发了一种可穿戴康复设备,用于促进中风后患者的步态康复,与之前的技术相比,该设备具有更好的耐用性、模块化和可用性。此外,上肢受损的患者在进行日常生活活动时会出现不同程度的能力缺失,针对这种情况,人们引入了机器人平台,以促进强化和重复练习,从而增强运动技能和神经可塑性(Bucchieri 等人,2023 年)。总之,以人为本的科技护理是一个潜力巨大的领域,它将科技的力量与以人为本的护理相结合,以提高支持和服务能力。本期文章探讨了社交机器人在护理实践中的应用、智能技术在心脏和老年护理中的适用性以及下一代智能护理的机遇。我们期待在未来看到更多以人为本的科技护理解决方案,进一步促进健康、幸福和社会的全面发展。
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[Technology and Care: Starting From Human-Centered Compassion].

The rapid development of technology in recent years has not only transformed everyday life but also profoundly impacted the fields of healthcare and caregiving. Approaches to care that are technology-based and human-centered may be used to provide care services that are more efficient, accurate, and personalized and that, ultimately, improve our quality of life and overall health. First, intelligent health monitoring systems can generate customized health management plans based on individual health conditions and needs, allowing chronic diseases to be managed more effectively and helping prevent disease onset. Examples of these systems include smart medication dispensers (Gargioni et al., 2024) and fall prevention exercise apps for older adult patients (Czuber et al., 2024). Also, in clinical settings, especially in the context of monitoring patients in operating rooms and intensive care units, visualization technologies are using psychology and cognitive neuroscience principles to leverage human sensory perception to improve caregiver understanding of information. Patient data are presented using different shapes, colors, and animation frequencies, which are more effectively perceived, integrated, and interpreted than other formats (e.g., numbers). This helps healthcare professionals effectively perceive and identify potential medical issues, enhancing their situational awareness, helping them make better decisions, and improving patient safety (Gasciauskaite et al., 2023). In the field of rehabilitation, Krishnan et al. (2024) developed a wearable rehabilitation device to facilitate gait rehabilitation in post-stroke patients that exhibits better durability, modularity, and usability than previous technologies. In addition, for patients with upper limb impairments who experience varying degrees of ability loss in performing activities of daily living, robotic platforms have been introduced to facilitate intensive and repetitive exercises that strengthen motor skills and neuroplasticity (Bucchieri et al., 2023). In conclusion, human-centered technology care is a field ripe with potential that combines the power of technology with human-centered care to improve support and service capabilities. Articles in this issue explore the application of social robots in nursing practice, the applicability of smart technology in cardiac and elderly care, and the opportunities for next-generation smart care. We look forward to seeing more human-centered technology care solutions in the future that further promote health, well-being, and comprehensive social development.

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来源期刊
Journal of Nursing
Journal of Nursing Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
14
期刊最新文献
[A Guide to Network Meta-Analysis Using Generative AI and No-Code Tools]. [A Study on the Life Attitudes, Fear of Death, and Dying Care Abilities of Nursing Assistants in Long-Term Care Institutions]. [Analysis of the Effectiveness of a Fall Prevention Program Incorporating an Interprofessional Team Collaboration Model on Reducing Fall Risk in Elderly Living in Long-term Care Facilities]. [Application of Artificial Intelligence Models in Nursing Research]. [Caregiving Experience With a Young Father With Multiple Myeloma Undergoing Renal Dialysis and Autologous Stem Cell Transplantation].
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