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Smart healthcare: A prospective future medical approach for COVID-19.
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- Author(s): Yang DM;Yang DM;Yang DM;Yang DM; Chang TJ; Chang TJ; Chang TJ; Chang TJ; Hung KF; Hung KF; Wang ML; Wang ML; Cheng YF; Cheng YF; Chiang SH; Chiang SH; Chen MF; Chen MF; Liao YT; Liao YT; Liao YT; Liao YT; Lai WQ; Lai WQ; Lai WQ; Lai WQ; Liang KH; Liang KH; Liang KH; Liang KH
- Source:
Journal of the Chinese Medical Association : JCMA [J Chin Med Assoc] 2023 Feb 01; Vol. 86 (2), pp. 138-146. Date of Electronic Publication: 2022 Oct 13.- Publication Type:
Review; Journal Article; Research Support, Non-U.S. Gov't- Language:
English - Source:
- Additional Information
- Source: Publisher: Wolters Kluwer Health Country of Publication: Netherlands NLM ID: 101174817 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1728-7731 (Electronic) Linking ISSN: 17264901 NLM ISO Abbreviation: J Chin Med Assoc Subsets: MEDLINE
- Publication Information: Publication: 2019- : [Alphen aan den Rijn, The Netherlands] : Wolters Kluwer Health
Original Publication: Taipei, Taiwan : Chinese Medical Association, c2003- - Subject Terms:
- Abstract: COVID-19 has greatly affected human life for over 3 years. In this review, we focus on smart healthcare solutions that address major requirements for coping with the COVID-19 pandemic, including (1) the continuous monitoring of severe acute respiratory syndrome coronavirus 2, (2) patient stratification with distinct short-term outcomes (eg, mild or severe diseases) and long-term outcomes (eg, long COVID), and (3) adherence to medication and treatments for patients with COVID-19. Smart healthcare often utilizes medical artificial intelligence (AI) and cloud computing and integrates cutting-edge biological and optoelectronic techniques. These are valuable technologies for addressing the unmet needs in the management of COVID. By leveraging deep learning/machine learning capabilities and big data, medical AI can perform precise prognosis predictions and provide reliable suggestions for physicians' decision-making. Through the assistance of the Internet of Medical Things, which encompasses wearable devices, smartphone apps, internet-based drug delivery systems, and telemedicine technologies, the status of mild cases can be continuously monitored and medications provided at home without the need for hospital care. In cases that develop into severe cases, emergency feedback can be provided through the hospital for rapid treatment. Smart healthcare can possibly prevent the development of severe COVID-19 cases and therefore lower the burden on intensive care units.
Competing Interests: Conflicts of interest: The authors declare that they have no conflicts of interest related to the subject matter or materials discussed in this article.
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- Publication Date: 20240628
- Accession Number: PMC9847685
- Accession Number: 10.1097/JCMA.0000000000000824
- Accession Number: 36227021
- Source:
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