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      Telemedicine as technoinnovation to tackle COVID-19: A bibliometric analysis

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          Abstract

          Telemedicine has become fundamental for the challenges posed to healthcare. This set of instruments turns pivotal for facing one of the most relevant emergencies in human history: the COVID-19 pandemic. The multisectoral crisis led to a vigorously sustained adoption of innovations, including telemedicine technology. Telehealth was proven, in this context, to be a relevant tool to reduce healthcare costs, reduce not-needed hospitalizations, and improve the results in health care. Some barriers such as the costs of technologies, patient privacy and technical literacy have slowed down telemedicine adoption. Amidst the COVID-19 era, telemedicine calls for a managerial duty to change healthcare's organizational models. The present work aims to explore the growing literature to illuminate the relationships between telemedicine, innovations and healthcare in the COVID-19 framework. A bibliometric analysis of the existing literature based on 285 published works in 2019–2020 is put forward with the aim to detect the relevant literature, themes and approaches on telemedicine and COVID-19. Making use of community detection on the co-occurrence keywords network, we identify the “semantic cores” in the literature representing the relevant results on critical themes. The sorting implications are important for researchers and policymakers by mapping the existing literature and results in evidence-based analysis. We provide the key communities as the “semantic core” of the publications and results for the considered period. This allows for future research to be oriented towards perduring health policies that could lead to the adoption of telemedicine technologies in a post-pandemic scenario.

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                Author and article information

                Journal
                Technovation
                Published by Elsevier Ltd.
                0166-4972
                0166-4972
                12 November 2021
                12 November 2021
                : 102417
                Affiliations
                [a ]University Niccolò Cusano, Rome, Italy
                [b ]Wenzhou-Kean University, Wenzhou, Zhejiang Province, 325060, China
                [c ]Natural Resources Institute, University of Greenwich, Central Avenue, Chatham Maritime, ME4 4TB, UK
                [d ]Centre for Studies on Europe, Azerbaijan State University of Economics (UNEC), Azerbaijan
                [e ]Istituto Superiore di Sanità, St.Camillus International University of Health Sciences, Italy
                Author notes
                []Corresponding author. Natural Resources Institute, University of Greenwich, Central Avenue, Chatham Maritime, ME4 4TB, UK.
                Article
                S0166-4972(21)00198-X 102417
                10.1016/j.technovation.2021.102417
                8585599
                6c4b66ec-ed7b-4698-b15c-e4e6f2d52dbc
                © 2021 Published by Elsevier Ltd.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 23 August 2021
                : 6 October 2021
                : 8 November 2021
                Categories
                Article

                telemedicine,tele-health,innovation,technoinnovation,health management,health-care,bibliometrics,network analysis,community detection

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