Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies

Abstract The coronavirus disease 2019 (COVID-19) pandemic has overwhelmed healthcare services, faced with the twin challenges in acutely meeting the medical needs of patients with COVID-19 while continuing essential services for non-COVID-19 illnesses. The need to re-invent, re-organize and transfor...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Dinesh Visva Gunasekeran, Rachel Marjorie Wei Wen Tseng, Yih-Chung Tham, Tien Yin Wong
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/4a80b0674e684f7198e5dcc9cdf9b03d
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:4a80b0674e684f7198e5dcc9cdf9b03d
record_format	dspace
spelling	oai:doaj.org-article:4a80b0674e684f7198e5dcc9cdf9b03d2021-12-02T13:34:33ZApplications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies10.1038/s41746-021-00412-92398-6352https://doaj.org/article/4a80b0674e684f7198e5dcc9cdf9b03d2021-02-01T00:00:00Zhttps://doi.org/10.1038/s41746-021-00412-9https://doaj.org/toc/2398-6352Abstract The coronavirus disease 2019 (COVID-19) pandemic has overwhelmed healthcare services, faced with the twin challenges in acutely meeting the medical needs of patients with COVID-19 while continuing essential services for non-COVID-19 illnesses. The need to re-invent, re-organize and transform healthcare and co-ordinate clinical services at a population level is urgent as countries that controlled initial outbreaks start to experience resurgences. A wide range of digital health solutions have been proposed, although the extent of successful real-world applications of these technologies is unclear. This study aims to review applications of artificial intelligence (AI), telehealth, and other relevant digital health solutions for public health responses in the healthcare operating environment amidst the COVID-19 pandemic. A systematic scoping review was performed to identify potentially relevant reports. Key findings include a large body of evidence for various clinical and operational applications of telehealth (40.1%, n = 99/247). Although a large quantity of reports investigated applications of artificial intelligence (AI) (44.9%, n = 111/247) and big data analytics (36.0%, n = 89/247), weaknesses in study design limit generalizability and translation, highlighting the need for more pragmatic real-world investigations. There were also few descriptions of applications for the internet of things (IoT) (2.0%, n = 5/247), digital platforms for communication (DC) (10.9%, 27/247), digital solutions for data management (DM) (1.6%, n = 4/247), and digital structural screening (DS) (8.9%, n = 22/247); representing gaps and opportunities for digital public health. Finally, the performance of digital health technology for operational applications related to population surveillance and points of entry have not been adequately evaluated.Dinesh Visva GunasekeranRachel Marjorie Wei Wen TsengYih-Chung ThamTien Yin WongNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 4, Iss 1, Pp 1-6 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Dinesh Visva Gunasekeran Rachel Marjorie Wei Wen Tseng Yih-Chung Tham Tien Yin Wong Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies
description	Abstract The coronavirus disease 2019 (COVID-19) pandemic has overwhelmed healthcare services, faced with the twin challenges in acutely meeting the medical needs of patients with COVID-19 while continuing essential services for non-COVID-19 illnesses. The need to re-invent, re-organize and transform healthcare and co-ordinate clinical services at a population level is urgent as countries that controlled initial outbreaks start to experience resurgences. A wide range of digital health solutions have been proposed, although the extent of successful real-world applications of these technologies is unclear. This study aims to review applications of artificial intelligence (AI), telehealth, and other relevant digital health solutions for public health responses in the healthcare operating environment amidst the COVID-19 pandemic. A systematic scoping review was performed to identify potentially relevant reports. Key findings include a large body of evidence for various clinical and operational applications of telehealth (40.1%, n = 99/247). Although a large quantity of reports investigated applications of artificial intelligence (AI) (44.9%, n = 111/247) and big data analytics (36.0%, n = 89/247), weaknesses in study design limit generalizability and translation, highlighting the need for more pragmatic real-world investigations. There were also few descriptions of applications for the internet of things (IoT) (2.0%, n = 5/247), digital platforms for communication (DC) (10.9%, 27/247), digital solutions for data management (DM) (1.6%, n = 4/247), and digital structural screening (DS) (8.9%, n = 22/247); representing gaps and opportunities for digital public health. Finally, the performance of digital health technology for operational applications related to population surveillance and points of entry have not been adequately evaluated.
format	article
author	Dinesh Visva Gunasekeran Rachel Marjorie Wei Wen Tseng Yih-Chung Tham Tien Yin Wong
author_facet	Dinesh Visva Gunasekeran Rachel Marjorie Wei Wen Tseng Yih-Chung Tham Tien Yin Wong
author_sort	Dinesh Visva Gunasekeran
title	Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies
title_short	Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies
title_full	Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies
title_fullStr	Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies
title_full_unstemmed	Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies
title_sort	applications of digital health for public health responses to covid-19: a systematic scoping review of artificial intelligence, telehealth and related technologies
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/4a80b0674e684f7198e5dcc9cdf9b03d
work_keys_str_mv	AT dineshvisvagunasekeran applicationsofdigitalhealthforpublichealthresponsestocovid19asystematicscopingreviewofartificialintelligencetelehealthandrelatedtechnologies AT rachelmarjorieweiwentseng applicationsofdigitalhealthforpublichealthresponsestocovid19asystematicscopingreviewofartificialintelligencetelehealthandrelatedtechnologies AT yihchungtham applicationsofdigitalhealthforpublichealthresponsestocovid19asystematicscopingreviewofartificialintelligencetelehealthandrelatedtechnologies AT tienyinwong applicationsofdigitalhealthforpublichealthresponsestocovid19asystematicscopingreviewofartificialintelligencetelehealthandrelatedtechnologies
_version_	1718392732570877952

Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies

Ejemplares similares