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

Omar Ali*, Ahmad Alahmad, Hasan Kahtan

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

13 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)205-216
Number of pages12
JournalProcedia Computer Science
Volume217
DOIs
Publication statusPublished - 13 Jan 2023
Event4th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2022 - Linz, Austria
Duration: 2 Nov 20224 Nov 2022

Keywords

  • Artificial Intelligence
  • COVID-19
  • Cloud Computing
  • Healthcare
  • Informatization
  • Internet of Things

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