对行为互联网(IoB)支持的医疗保健系统的广泛研究:特征、促进因素和挑战

Mohd Javaid , Abid Haleem , Ravi Pratap Singh , Shahbaz Khan , Rajiv Suman
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引用次数: 0

摘要

行为互联网(IoB)是一项通过数据收集来剖析行为模式的努力。IoB是物联网(IoT)的延伸。因此,预计在未来几年,两者都将经历指数级增长。医疗保健公司有很多机会雇用IoB来提供个性化服务和预测患者的行为。由于行为和分析与心理学密切相关,因此存在许多技术来收集相关数据。IoB改善了医生和病人的体验。由于物联网和IoB相互关联,IoB技术根据用户活动收集和分析数据。这为开发实时远程健康监测系统提供了一种实用的技术。这项技术有助于优化医疗保健部门的汽车保险费。它试图改变病人的行为,以改善治疗过程。IoB在各个领域都有应用,包括零售和娱乐,并有可能显著改变营销部门。这项技术有助于适当分析和理解用于创造有价值的治疗服务的行为数据。本文的主要目的是研究IoB及其对医疗保健的需求。研究了医疗卫生领域IoB的工作流程结构和特点。本文进一步确定和分析了IoB在医疗保健领域的重要应用。未来,IoB技术将给我们带来更高质量的生活和福祉。IoB是技术、数据分析和行为科学的理想融合。这将有助于医疗保健专业人员收集数据并分析患者的行为,以实现有效的治疗过程。IoB将在几年内成为数字生态系统的智能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An extensive study on Internet of Behavior (IoB) enabled Healthcare-Systems: Features, facilitators, and challenges

The Internet of Behaviour (IoB) is an effort to dissect behavioural patterns as explained by data collection. IoB is an extension of the Internet of Things (IoT). Therefore, both are anticipated to experience exponential growth in the upcoming years. Healthcare firms have many opportunities to employ IoB to provide individualised services and anticipate patients’ behaviour. As behaviour and analysis are closely related to psychology, many techniques exist to collect relevant data. The IoB improves the doctor’s and patient’s experience. As IoT and IoB are interconnected, IoB technology collects and analyses data depending on user activity. These offer a practical technique for developing real-time remote health monitoring systems. This technology aids in the optimisation of auto insurance premiums in the healthcare sector. It tries to alter patient behaviour in order to improve the treatment process. IoB has applications in various areas, including retail and entertainment, and has the potential to change the marketing sector significantly. This technology is helpful for the appropriate analysis and comprehension of behavioural data used for creating valuable services for treatment. The primary purpose of this paper is to study IoB and its need for healthcare. The working process structure and features of IoB for the healthcare domain are studied. This paper further identifies and analyses the significant applications of IoB for healthcare. In the future, IoB technologies will give us a higher quality of life and well-being. IoB is the ideal fusion of technology, data analytics, and behavioural science. This will help healthcare professionals collect data and analyse the patient’s behaviours for an efficient treatment process. The IoB will be the digital ecosystem’s intelligence in a few years.

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