Khalad Agali, Maslin Masrom, Fiza Abdul Rahim, Yazriwati Yahya
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引用次数: 0
摘要
物联网(IoT)正在通过使用基于物联网的远程监控系统(IoT- rms)从传统的护理模式转变为持续的、技术驱动的方法,从而改变患者对医疗保健的参与。本研究旨在通过研究物联网(IoT)技术如何在不同阶段影响医疗保健管理和患者-提供者互动,重新定义患者参与。此外,它还提出了患者参与阶段与物联网- rms之间的关系,物联网- rms使用技术健康管理工具促进患者积极参与。该研究强调,物联网- rms提高了患者的参与度,分为三个主要阶段:启用、参与和授权。这种方法显示了技术进步如何鼓励患者参与和赋权,从而改善健康结果和个性化护理。对Web of Science (WOS)、Scopus数据库、IEEE和PubMed的系统回顾和叙述分析得出了1832项关于患者参与和技术的研究。尽管有乐观的发现,文章强调需要更多的研究来评估技术干预的持久性和长期有效性。
IoT-based remote monitoring system: A new era for patient engagement
Internet of Things (IoT) is changing patient engagement in healthcare by shifting from traditional care models to a continuous, technology-driven approach using IoT-based Remote Monitoring Systems (IoT-RMS). This research seeks to redefine patient engagement by examining how Internet of Things (IoT) technologies can impact healthcare management and patient–provider interactions at different phases. Additionally, it presents the relationship between patient engagement stages and IoT-RMS, which promotes patients' active participation using technological health management tools. The study emphasizes that IoT-RMS improves patient engagement, organized into three main stages: enabling, engaging, and empowering. This approach shows how technological progress encourages patient involvement and empowerment, leading to improved health results and personalized care. A systematic review and narrative analysis of Web of Science (WOS), Scopus databases, IEEE, and PubMed yielded 1832 studies regarding patient engagement and technology. Despite the optimistic findings, the article highlights the need for more research to evaluate the durability of technology interventions and long-term effectiveness.
期刊介绍:
Healthcare Technology Letters aims to bring together an audience of biomedical and electrical engineers, physical and computer scientists, and mathematicians to enable the exchange of the latest ideas and advances through rapid online publication of original healthcare technology research. Major themes of the journal include (but are not limited to): Major technological/methodological areas: Biomedical signal processing Biomedical imaging and image processing Bioinstrumentation (sensors, wearable technologies, etc) Biomedical informatics Major application areas: Cardiovascular and respiratory systems engineering Neural engineering, neuromuscular systems Rehabilitation engineering Bio-robotics, surgical planning and biomechanics Therapeutic and diagnostic systems, devices and technologies Clinical engineering Healthcare information systems, telemedicine, mHealth.