HEALTHCARE IOT SECURITY: EXAMINING SECURITY CHALLENGES AND SOLUTIONS IN THE INTERNET OF MEDICAL THINGS. A BIBLIOMETRIC PERSPECTIVE

Background: The Internet of Medical Things (IoMT) has revolutionized patient monitoring and decision-making processes with advanced technologies. However, its integration into healthcare systems introduces significant security risks that threaten data confidentiality and patient privacy. Objective: This study aims to map the existing knowledge on IoMT security through a bibliometric analysis of publications indexed in the Scopus database. Methods: Data were retrieved from the Scopus database covering the period from January 1, 2012, to June 30, 2024. The analysis included 980 documents, comprising 640 research articles and 340 review papers, all in English. Results: The number of publications has seen substantial growth, with a notable peak of 145 research articles in 2023. The United States leads in publication volume with 310 papers and 14,800 citations. Europe also contributes significantly, while Asian contributions, particularly from China and South Korea, are increasing rapidly. Prominent researchers include Dr. Emily Johnson (MIT), Dr. Robert Lee (University of California-Berkeley), and Dr. Anna Kim (Seoul National University). MIT has the highest number of publications, while UC Berkeley leads in citation scores. Key journals in this field are the Journal of Medical Internet Research, IEEE Internet of Things Journal, Sensors, and Journal of Biomedical Informatics. Focus Areas: The research highlights critical areas such as cyber security, data encryption, secure communication, and privacy. Key solutions identified include blockchain technology, regulatory frameworks and standards governing healthcare IoT Security and machine learning algorithms, which are essential for enhancing IoMT security frameworks. Conclusions: The study underscores the need for increased international collaboration and further research to improve IoMT security and protect patient records, thereby enhancing the delivery of healthcare services.

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Publication Details

Published
2024-08-29
DOI
https://doi.org/10.53555/7j8dhs24
Primary Topic
Big Data and Business Intelligence
Type
article
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article

HEALTHCARE IOT SECURITY: EXAMINING SECURITY CHALLENGES AND SOLUTIONS IN THE INTERNET OF MEDICAL THINGS. A BIBLIOMETRIC PERSPECTIVE

Saisuman Singamsetty
Big Data and Business Intelligence
article

HEALTHCARE IOT SECURITY: EXAMINING SECURITY CHALLENGES AND SOLUTIONS IN THE INTERNET OF MEDICAL THINGS. A BIBLIOMETRIC PERSPECTIVE

Saisuman Singamsetty
article en

Abstract

Background: The Internet of Medical Things (IoMT) has revolutionized patient monitoring and decision-making processes with advanced technologies. However, its integration into healthcare systems introduces significant security risks that threaten data confidentiality and patient privacy. Objective: This study aims to map the existing knowledge on IoMT security through a bibliometric analysis of publications indexed in the Scopus database. Methods: Data were retrieved from the Scopus database covering the period from January 1, 2012, to June 30, 2024. The analysis included 980 documents, comprising 640 research articles and 340 review papers, all in English. Results: The number of publications has seen substantial growth, with a notable peak of 145 research articles in 2023. The United States leads in publication volume with 310 papers and 14,800 citations. Europe also contributes significantly, while Asian contributions, particularly from China and South Korea, are increasing rapidly. Prominent researchers include Dr. Emily Johnson (MIT), Dr. Robert Lee (University of California-Berkeley), and Dr. Anna Kim (Seoul National University). MIT has the highest number of publications, while UC Berkeley leads in citation scores. Key journals in this field are the Journal of Medical Internet Research, IEEE Internet of Things Journal, Sensors, and Journal of Biomedical Informatics. Focus Areas: The research highlights critical areas such as cyber security, data encryption, secure communication, and privacy. Key solutions identified include blockchain technology, regulatory frameworks and standards governing healthcare IoT Security and machine learning algorithms, which are essential for enhancing IoMT security frameworks. Conclusions: The study underscores the need for increased international collaboration and further research to improve IoMT security and protect patient records, thereby enhancing the delivery of healthcare services.

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