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A review of advanced technologies available to improve the healthcare performance during COVID-19 pandemic

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conference contribution
posted on 2023-05-16, 09:39 authored by Omar Ali, Ahmad AlAhmad, Hasan Kahtan Al-AniHasan Kahtan Al-Ani

Information technology (IT) has enabled the initiation of an innovative healthcare system. An innovative healthcare system integrates new technologies such as cloud computing, the internet of things, and artificial intelligence (AI), to transform the healthcare to be more efficient, more convenient and more personalized. This review aims to identify the key technologies that will help to support an innovative healthcare system. A case study approach was used in this research analysis to enable a researcher to closely analyze the data in a particular context. It presents a case study of the coronavirus (COVID-19) as a means of exploring the use of advanced technologies in an innovative healthcare system to help address a worldwide health crisis. An innovative healthcare system can help to promote better patient self-management, reduce costs, relieve staff pressures, help with resource and knowledge management, and improve the patient experience. An innovative healthcare system can reduce the expense and time for research, and increase the overall efficacy of the research. Overall, this research identifies how innovative technologies can improve the performance of the healthcare system. Advanced technologies can assist with pandemic control and can help in the recognition of the virus, clinical treatment, medical protection, intelligent diagnosis, and outbreak analysis. The review provides an analysis of the future prospects of an innovative healthcare system

History

Presented at

4th International Conference on Industry 4.0 and Smart Manufacturing

Published in

4th International Conference on Industry 4.0 and Smart Manufacturing

Publisher

Elsevier

Version

  • VoR (Version of Record)

Citation

Ali, O., AlAhmad, A. and Kahtan, H. (2023) 'A review of advanced technologies available to improve the healthcare performance during COVID-19 pandemic', Procedia Computer Science, 217, pp.205-216.

Electronic ISSN

1877-0509

Cardiff Met Affiliation

  • Cardiff School of Technologies

Cardiff Met Authors

Hasan Kahtan Al-Ani

Copyright Holder

  • © The Authors

Language

  • en