Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies
Top Cited Papers
Open Access
- 26 February 2021
- journal article
- review article
- Published by Springer Science and Business Media LLC in npj Digital Medicine
- Vol. 4 (1), 1-6
- https://doi.org/10.1038/s41746-021-00412-9
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.Keywords
This publication has 42 references indexed in Scilit:
- Scientists fear coronavirus spread in countries least able to contain itNature, 2020
- Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCREurosurveillance, 2020
- Characteristics of stakeholder involvement in systematic and rapid reviews: a methodological review in the area of health services researchBMJ Open, 2019
- Digital health care for older adultsThe Lancet, 2019
- High-performance medicine: the convergence of human and artificial intelligenceNature Medicine, 2019
- Analysing the role of complexity in explaining the fortunes of technology programmes: empirical application of the NASSS frameworkBMC Medicine, 2018
- Technology and chronic disease managementThe Lancet Diabetes & Endocrinology, 2018
- Understanding the Intention-to-treat Principle in Randomized Controlled TrialsWestern Journal of Emergency Medicine, 2017
- Digital health is a cultural transformation of traditional healthcaremHealth, 2017
- The Prevention and Treatment of Missing Data in Clinical TrialsThe New England Journal of Medicine, 2012