Remote Monitoring System of Patient Status in Social IoT Environments Using Amazon Web Services Technologies and Smart Health Care

Q2 Decision Sciences
Amer Tahseen Abu-Jassar;Hani Attar;Ayman Amer;Vyacheslav Lyashenko;Vladyslave Yevsieiev;Ahmed Solyman
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引用次数: 0

Abstract

This study investigates the problematic characteristics of contemporary methods for remote and portable patient monitoring. The consideration is based on recent breakthroughs in information technology and progressive strategies for processing and storing biomedical data. The proposed system represents the Medicine 4.0 concept's next technological leap. Existing methods for remote and portable monitoring of a patient's status have several vital disadvantages in system flexibility and the convenience of processing and evaluating biomedical data, according to an analysis of these systems. The authors have created a new concept for a Remote Patient Monitoring System (RPMS) that allows for undetectable wear during the patient's daily activities. Small modules comprising a microcontroller and a collection of medical sensors transfer data in real-time via wireless Internet of Things (IoT) technologies to a cloud service for the attending physician's processing and visualization convenience. Based on the proposed concept, the authors created a structural diagram of the experimental RPMS and its built prototype. Amazon Web Services (AWS) is used for the real-time processing of biomedical patient data and its subsequent analysis using a graph-based information visualization system. The performed experimental procedure confirmed that the developed experimental RPMS has minimal latency in transmitting data to AWS; it can alert both the patient and the physician about the need for emergency intervention or treatment adjustments, even if critical indicators are detected. Additionally, the proposed system can incorporate components of expert systems and Artificial Intelligence (AI) systems. The authors advocate using the accomplished system for functional diagnostics specialists, paramedics, and cardiologists in medical facilities and the military medical system for rapid diagnosis and direct monitoring of troops' health state on the battlefield.
使用亚马逊网络服务技术和智能医疗的社会物联网环境中患者状态远程监控系统
本研究探讨了当代远程和便携式患者监护方法的问题特征。考虑的依据是信息技术的最新突破以及处理和存储生物医学数据的先进战略。该系统代表了医疗4.0概念的下一个技术飞跃。根据对这些系统的分析,用于远程和便携式监测患者状态的现有方法在系统灵活性和处理和评估生物医学数据的便利性方面存在几个至关重要的缺点。作者创造了一种远程患者监测系统(RPMS)的新概念,该系统允许在患者日常活动中检测不到磨损。由微控制器和一组医疗传感器组成的小模块通过无线物联网(IoT)技术将数据实时传输到云服务,方便主治医生处理和可视化。基于所提出的概念,作者创建了实验RPMS的结构图及其构建的原型。亚马逊网络服务(AWS)用于实时处理生物医学患者数据,并使用基于图形的信息可视化系统进行后续分析。实验过程证实,所开发的实验RPMS在向AWS传输数据时具有最小的延迟;即使检测到关键指标,它也可以提醒患者和医生是否需要紧急干预或调整治疗。此外,所提出的系统可以结合专家系统和人工智能(AI)系统的组件。作者主张将完成的系统用于医疗机构的功能诊断专家、护理人员和心脏病专家,以及军事医疗系统,用于快速诊断和直接监测战场上部队的健康状况。
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
International Journal of Crowd Science
International Journal of Crowd Science Decision Sciences-Decision Sciences (miscellaneous)
CiteScore
2.70
自引率
0.00%
发文量
20
审稿时长
24 weeks
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