医疗物联网(IoMT)调查:使能技术、安全性和可解释性问题、挑战和未来方向

IF 3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Expert Systems Pub Date : 2025-03-24 DOI:10.1111/exsy.70010
Mert Melih Ozcelik, Ibrahim Kok, Suat Ozdemir
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引用次数: 0

摘要

医疗物联网(IoMT)范式是指利用互联网上的通信和信息系统收集、传输和分析医疗数据的过程。物联网由可以连接到互联网或其他网络的医疗设备组成,包括可穿戴设备、传感器、监控工具和其他医疗设备。IoMT数据可用于降低成本,提高医疗保健服务的有效性,并改善患者的健康状况。除了IoMT可能带来的潜在好处外,2019冠状病毒病大流行的影响也增强了远程收集患者数据的愿望,并促使许多医疗专业人员利用IoMT应用,如远程医疗、远程医疗、远程患者监测、远程患者诊断和远程咨询等。预计IoMT的市场规模和使用将急剧增加,IoMT将在未来几年内显著改变传统医疗保健系统。在这种增长预期的推动下,本研究旨在通过强调开发可靠、可靠和安全的IoMT生态系统所必需的基本支柱(传感、通信、数据分析和安全),分析IoMT、其组成部分、使能技术和应用。此外,本研究还详细分析了最近针对医疗保健行业的主要网络攻击,评估了其影响,并通过采用DOTMLPFI方法讨论了从这些事件中得出的关键教训。此外,本调查还简要概述了在智能医疗系统开发中补充IoMT的新兴技术,并探讨了这一不断发展的领域的潜在未来方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Survey on Internet of Medical Things (IoMT): Enabling Technologies, Security and Explainability Issues, Challenges, and Future Directions

A Survey on Internet of Medical Things (IoMT): Enabling Technologies, Security and Explainability Issues, Challenges, and Future Directions

Internet of Medical Things (IoMT) paradigm refers to the process of collection, transmission and analysis of healthcare data using communication and information systems over the internet. IoMT consist of medical devices that can link to the internet or other networks, including wearables, sensors, monitoring tools and other medical appliances. IoMT data can be utilised to lower costs, increase the effectiveness of healthcare delivery and improve the patient health status. In addition to the potential benefits IoMT may provide, the impact of COVID19 pandemic has also strengthened the desire to collect patient data remotely and pushed a lot of medical professionals to utilise IoMT applications such as telemedicine, telehealth, remote patient monitoring, remote patient diagnostics and distant consultations etc. The expectation is that IoMT market size and the usage will increase dramatically and IoMT will change the conventional healthcare systems significantly in the upcoming years. Motivated with that growth expectation, this study aims to analyse the IoMT, its components, enabling technologies and applications by emphasising the fundamental pillars (sensing, communication, data analytics, and security) essential for developing a reliable, dependable, and secure IoMT ecosystem. Furthermore, this study conducts a detailed analysis of recent major cyberattacks targeting the healthcare industry, evaluating their impact and discussing the key lessons derived from these incidents by employing DOTMLPFI approach. Additionally, this survey offers a concise overview of the emerging technologies that complement IoMT in the development of smart healthcare systems and explores potential future directions within this evolving field.

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来源期刊
Expert Systems
Expert Systems 工程技术-计算机:理论方法
CiteScore
7.40
自引率
6.10%
发文量
266
审稿时长
24 months
期刊介绍: Expert Systems: The Journal of Knowledge Engineering publishes papers dealing with all aspects of knowledge engineering, including individual methods and techniques in knowledge acquisition and representation, and their application in the construction of systems – including expert systems – based thereon. Detailed scientific evaluation is an essential part of any paper. As well as traditional application areas, such as Software and Requirements Engineering, Human-Computer Interaction, and Artificial Intelligence, we are aiming at the new and growing markets for these technologies, such as Business, Economy, Market Research, and Medical and Health Care. The shift towards this new focus will be marked by a series of special issues covering hot and emergent topics.
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