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Smartwatches in healthcare medicine: assistance and monitoring; a scoping review

Smartwatches have become increasingly popular in recent times because of their capacity to track different health indicators, including heart rate, patterns of sleep, and physical movements. This scoping review aims to explore the utilisation of smartwatches within the healthcare sector. According t...

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Autores principales: Masoumian Hosseini, Mohsen, Masoumian Hosseini, Seyedeh Toktam, Qayumi, Karim, Hosseinzadeh, Shahriar, Sajadi Tabar, Seyedeh Saba
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625201/
https://www.ncbi.nlm.nih.gov/pubmed/37924029
http://dx.doi.org/10.1186/s12911-023-02350-w
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author Masoumian Hosseini, Mohsen
Masoumian Hosseini, Seyedeh Toktam
Qayumi, Karim
Hosseinzadeh, Shahriar
Sajadi Tabar, Seyedeh Saba
author_facet Masoumian Hosseini, Mohsen
Masoumian Hosseini, Seyedeh Toktam
Qayumi, Karim
Hosseinzadeh, Shahriar
Sajadi Tabar, Seyedeh Saba
author_sort Masoumian Hosseini, Mohsen
collection PubMed
description Smartwatches have become increasingly popular in recent times because of their capacity to track different health indicators, including heart rate, patterns of sleep, and physical movements. This scoping review aims to explore the utilisation of smartwatches within the healthcare sector. According to Arksey and O'Malley's methodology, an organised search was performed in PubMed/Medline, Scopus, Embase, Web of Science, ERIC and Google Scholar. In our search strategy, 761 articles were returned. The exclusion/inclusion criteria were applied. Finally, 35 articles were selected for extracting data. These included six studies on stress monitoring, six on movement disorders, three on sleep tracking, three on blood pressure, two on heart disease, six on covid pandemic, three on safety and six on validation. The use of smartwatches has been found to be effective in diagnosing the symptoms of various diseases. In particular, smartwatches have shown promise in detecting heart diseases, movement disorders, and even early signs of COVID-19. Nevertheless, it should be emphasised that there is an ongoing discussion concerning the reliability of smartwatch diagnoses within healthcare systems. Despite the potential advantages offered by utilising smartwatches for disease detection, it is imperative to approach their data interpretation with prudence. The discrepancies in detection between smartwatches and their algorithms have important implications for healthcare use. The accuracy and reliability of the algorithms used are crucial, as well as high accuracy in detecting changes in health status by the smartwatches themselves. This calls for the development of medical watches and the creation of AI-hospital assistants. These assistants will be designed to help with patient monitoring, appointment scheduling, and medication management tasks. They can educate patients and answer common questions, freeing healthcare providers to focus on more complex tasks.
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spelling pubmed-106252012023-11-05 Smartwatches in healthcare medicine: assistance and monitoring; a scoping review Masoumian Hosseini, Mohsen Masoumian Hosseini, Seyedeh Toktam Qayumi, Karim Hosseinzadeh, Shahriar Sajadi Tabar, Seyedeh Saba BMC Med Inform Decis Mak Research Smartwatches have become increasingly popular in recent times because of their capacity to track different health indicators, including heart rate, patterns of sleep, and physical movements. This scoping review aims to explore the utilisation of smartwatches within the healthcare sector. According to Arksey and O'Malley's methodology, an organised search was performed in PubMed/Medline, Scopus, Embase, Web of Science, ERIC and Google Scholar. In our search strategy, 761 articles were returned. The exclusion/inclusion criteria were applied. Finally, 35 articles were selected for extracting data. These included six studies on stress monitoring, six on movement disorders, three on sleep tracking, three on blood pressure, two on heart disease, six on covid pandemic, three on safety and six on validation. The use of smartwatches has been found to be effective in diagnosing the symptoms of various diseases. In particular, smartwatches have shown promise in detecting heart diseases, movement disorders, and even early signs of COVID-19. Nevertheless, it should be emphasised that there is an ongoing discussion concerning the reliability of smartwatch diagnoses within healthcare systems. Despite the potential advantages offered by utilising smartwatches for disease detection, it is imperative to approach their data interpretation with prudence. The discrepancies in detection between smartwatches and their algorithms have important implications for healthcare use. The accuracy and reliability of the algorithms used are crucial, as well as high accuracy in detecting changes in health status by the smartwatches themselves. This calls for the development of medical watches and the creation of AI-hospital assistants. These assistants will be designed to help with patient monitoring, appointment scheduling, and medication management tasks. They can educate patients and answer common questions, freeing healthcare providers to focus on more complex tasks. BioMed Central 2023-11-03 /pmc/articles/PMC10625201/ /pubmed/37924029 http://dx.doi.org/10.1186/s12911-023-02350-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Masoumian Hosseini, Mohsen
Masoumian Hosseini, Seyedeh Toktam
Qayumi, Karim
Hosseinzadeh, Shahriar
Sajadi Tabar, Seyedeh Saba
Smartwatches in healthcare medicine: assistance and monitoring; a scoping review
title Smartwatches in healthcare medicine: assistance and monitoring; a scoping review
title_full Smartwatches in healthcare medicine: assistance and monitoring; a scoping review
title_fullStr Smartwatches in healthcare medicine: assistance and monitoring; a scoping review
title_full_unstemmed Smartwatches in healthcare medicine: assistance and monitoring; a scoping review
title_short Smartwatches in healthcare medicine: assistance and monitoring; a scoping review
title_sort smartwatches in healthcare medicine: assistance and monitoring; a scoping review
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625201/
https://www.ncbi.nlm.nih.gov/pubmed/37924029
http://dx.doi.org/10.1186/s12911-023-02350-w
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