A review of the state of the art for the Internet of Medical Things

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Matthew, Peter, Mchale, Sarah, Deng, Xutao, Nakhla, Ghada, Trovati, Marcello, Nnamoko, Nonso, Pereira, Ella, Zhang, Huaizhong and Raza, Mohsin (2025) A review of the state of the art for the Internet of Medical Things. Sci, 7 (2). ISSN 2413-4155

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Abstract

The technological developments in the Internet of Things (IoT), data science, artificial intelligence, wearable sensors, remote monitoring, decision support systems, fog, and edge systems have transformed digital healthcare. Especially after the pandemic, there has been a rapid transformation of healthcare infrastructure from a conventional to a digital approach. Now, specifically, technologies such as the Internet of Things play a vital role in the transformation of the healthcare system. In this paper, an effort has been made to encompass the transformation of healthcare with a focus on the Internet of Medical Things (IoMT). In particular, it provides a detailed overview of the Internet of Medical Things whilst discussing the design goals and challenges, the resource constraints and limitations of the complex healthcare systems. The paper also provides a detailed account of the research initiatives as well as off-the-shelf wireless motes, internet-enabled sensors and open-source platforms. A thorough account of the next-generation digital healthcare technologies and future research opportunities is provided. This work not only covers the state-of-the-art but also offers critical insight into the digital healthcare challenges. The work attempts to summarise the extensive literature in the domain and present a new perspective on the internet of medical things, affiliate technologies and their role in healthcare.

Item Type:	Article
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Cyber Intelligence and Networks
Related URLs:	https://www.mdpi.com/2413-4155/7/2/36
Depositing User:	LivePure Connector
Date Deposited:	16 Jun 2025 10:30
Last Modified:	27 Jun 2025 00:54
URI:	https://ueaeprints.uea.ac.uk/id/eprint/99510
DOI:	10.3390/sci7020036

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