Huang Jessica A, Hartanti Intan R, Colin Michelle N, Pitaloka Dian Ae
Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, Indonesia.
Center of Excellence in Higher Education for Pharmaceutical Care Innovation, Universitas Padjadjaran, Sumedang, Indonesia.
Digit Health. 2022 May 15;8:20552076221100634. doi: 10.1177/20552076221100634. eCollection 2022 Jan-Dec.
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.
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.
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.
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.
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.
建议无症状和高风险的新冠病毒疾病(COVID-19)患者居家自我隔离。然而,患者可能直到病情恶化到很晚才意识到。
本研究旨在回顾新冠疫情期间各种基于人工智能的远程医疗研究,并提出一个由人工智能驱动的远程医疗框架,以监测新冠患者居家隔离期间的病情进展。它还旨在梳理在社区中使用基于人工智能的远程医疗所面临的挑战。
对2019 - 2021年发表在PubMed和ScienceDirect数据库中使用关键词“远程医疗”、“人工智能”和“COVID-19”的相关文章进行系统综述。纳入标准为英文撰写的全文文章和原创研究。
本综述纳入了13篇文章,以描述新冠疫情期间基于人工智能的远程医疗的当前应用。目前已经实施了各种应用,例如用于用户的早期诊断和接触者追踪、监测症状和治疗决策、临床管理以及虚拟和远程治疗。我们还根据最新技术进展提出了由人工智能驱动的远程医疗框架,以支持新冠患者的自我隔离。然而,由于伦理和实际应用、政策法规以及医护人员和患者的设备使用等问题,我们发现了使用数字健康技术存在的一些挑战。
人工智能有望在各个方面改善医疗实践。然而,实际应用仍有待探索,医疗专业人员也需要适应这些进展,以便更好地为公众提供医疗服务。