Internet of Things in active cancer Treatment: A systematic review.

Autor: Albino de Queiroz D; Software Innovation Laboratory - SOFTWARELAB, Programa de Pós-Graduação em Computação Aplicada, Universidade do Vale do Rio dos Sinos, São Leopoldo, RS, Brazil; Universidade Federal de Mato Grosso (UFMT), Sinop, MT, Brazil; Escola Técnica Estadual de Educação Profissional e Tecnológica, Sinop, MT, Brazil. Electronic address: diogoqueiroz@ufmt.br., André da Costa C; Software Innovation Laboratory - SOFTWARELAB, Programa de Pós-Graduação em Computação Aplicada, Universidade do Vale do Rio dos Sinos, São Leopoldo, RS, Brazil. Electronic address: cac@unisinos.br., Aparecida Isquierdo Fonseca de Queiroz E; Universidade Federal de Mato Grosso (UFMT), Sinop, MT, Brazil. Electronic address: eveline.ufmt@gmail.com., Folchini da Silveira E; Cecans - Centro do Câncer de Sinop, Sinop, MT, Brazil; Hospital Santo Antônio, Sinop, MT, Brazil. Electronic address: efolchini@hotmail.com., da Rosa Righi R; Software Innovation Laboratory - SOFTWARELAB, Programa de Pós-Graduação em Computação Aplicada, Universidade do Vale do Rio dos Sinos, São Leopoldo, RS, Brazil. Electronic address: rrrighi@unisinos.br.
Jazyk: angličtina
Zdroj: Journal of biomedical informatics [J Biomed Inform] 2021 Jun; Vol. 118, pp. 103814. Date of Electronic Publication: 2021 May 18.
DOI: 10.1016/j.jbi.2021.103814
Abstrakt: The Internet of Things (IoT) applied to the treatment of cancer patients has been explored and the results are promising. This review aims to identify the applications and benefits of using IoT techniques, especially wearable devices, on the management of the adverse effects and symptoms, quality of life, and survival in cancer patients undergoing active treatment. The work also presents the architecture and taxonomy of the use of IoT, the challenges and the relevant results, as well as the association of the collected information with the type of treatment and the type of cancer. This study was based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and considered articles from the last 10 years. Specific and general research questions and the PICOS approach were used to define the search string and to guide the selection of articles. The search retrieved 1678 publications, of which 121 were included for a full review. 67% of selected studies addressed the monitoring and follow-up of physical activities and their associations with the adverse effects and symptoms related to cancer treatment. Besides, 53% evaluated sleep patterns, heart rate, and oxygen saturation levels. One-third of the studies assessed patients with the indication for surgery and about one-half evaluated patients undergoing chemotherapy. Furthermore, the IoT allowed verifying associations of human behaviors with adverse effects and quality of life. IoT was observed to contribute to monitoring cancer patients, improve their quality of life and manage adverse effects related to cancer treatment. 53% were pilot studies and 93% were published in the last 5 years, which demonstrates to be a recent issue and therefore still has a lot to be explored.
(Copyright © 2021 Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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