IoT in healthcare: A scientometric analysis

Alessandra Belfiore, Corrado Cuccurullo and Massimo Aria

Technological Forecasting and Social Change, 2022, vol. 184, issue C

Abstract: This paper reviews scientific articles and patents about Internet of Things (IoT) in healthcare. The aim is to explore both the domain of research and the one of practice simultaneously. We compare the annual growth, the country production, and the trend topics of publications and patents, by focusing on the most relevant themes concerning the IoT in the healthcare industry. The analysis started with the selection of the publications and patents for the period 2015–2020. Since this comparative analysis between scientometric data in healthcare is new, the findings of this study can represent the basis for future studies to determine novel research opportunities on IoT. The study provides scholars with a better understanding of IoT research in healthcare and simultaneously extends knowledge of entrepreneurship in this field. Practitioners may benefit from this review to understand new and underexplored opportunities.

Keywords: IoT; Scientometric analysis; Topic detection; Research dynamics; Healthcare industry (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:184:y:2022:i:c:s0040162522005224

DOI: 10.1016/j.techfore.2022.122001

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