Affiliation:
1. Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, Indonesia
2. Center of Excellence in Higher Education for Pharmaceutical Care Innovation, Universitas Padjadjaran, Sumedang, Indonesia
Abstract
Background Asymptomatic and high-risk COVID-19 patients are advised to self-isolate at home. However, patients may not realize that the condition is deteriorating until too late. Objective This study aims to review various artificial intelligence-based telemedicine research during the COVID-19 outbreak and proposes a framework for developing telemedicine powered by artificial intelligence to monitor progression in COVID-19 patients during isolation at home. It also aims to map challenges using artificial intelligence-based telemedicine in the community. Methods A systematic review was performed for the related articles published in 2019–2021 and conducted in the PubMed and ScienceDirect database using the keywords “telemedicine,” “artificial intelligence,” and “COVID-19”. The inclusion criteria were full-text articles and original research written in the English language. Results Thirteen articles were included in this review to describe the current application of artificial intelligence-based telemedicine during the COVID-19 pandemic. Various current applications have been implemented, such as for early diagnosis and tracing of contact for the users, to monitor symptoms and decision-making treatment, clinical management, and virtual and remote treatment. We also proposed the framework of telemedicine powered by artificial intelligence for support the self-isolation of COVID-19 patients based on the recent update in technology. However, we identified some challenges for using digital health technologies because of the ethical and practical use, the policy and regulation, and device use both for healthcare workers and patients. Conclusion Artificial intelligence promises to improve the practice of medicine in various ways. However, practical applications still need to be explored, and medical professionals also need to adapt to these advances for better healthcare delivery to the public.
Subject
Health Information Management,Computer Science Applications,Health Informatics,Health Policy
Reference39 articles.
1. Asymptomatic patients as a source of COVID-19 infections: A systematic review and meta-analysis
2. Clinical Characteristics of Coronavirus Disease 2019 in China
3. CDC. Healthcare workers. Centers for Disease Control and Prevention, https://www.cdc.gov/coronavirus/2019-ncov/hcp/clinical-guidance-management patients.html (2020, accessed 30 October 2021).
4. WHO. Telemedicine: Opportunities and Developments in Member State | Regional Office for Africa, https://www.afro.who.int/publications/telemedicine-opportunities-and-developments-member-state (2009, accessed 6 November 2021).
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