Journal article
Methodology for integrating artificial Intelligence in healthcare systems: learning from Covid-19 to prepare for Disease X
- Abstract:
- Artificial intelligence and edge devices have been used at an increased rate in managing the COVID-19 pandemic. In this article we review the lessons learned from COVID-19 to postulate possible solutions for a Disease X event. The overall purpose of the study and the research problems investigated is the integration of artificial intelligence function in digital healthcare systems. The basic design of the study includes a systematic state-of-the-art review, followed by an evaluation of different approaches to managing global pandemics. The study design then engages with constructing a new methodology for integrating algorithms in healthcare systems, followed by analysis of the new methodology and a discussion. Action research is applied to review existing state of the art, and a qualitative case study method is used to analyse the knowledge acquired from the COVID-19 pandemic. Major trends found as a result of the study derive from the synthesis of COVID-19 knowledge, presenting new insights in the form of a conceptual methodology—that includes six phases for managing a future Disease X event, resulting with a summary map of various problems, solutions and expected results from integrating functional AI in healthcare systems.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 778.8KB, Terms of use)
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- Publisher copy:
- 10.1007/s43681-021-00111-x
Authors
- Publisher:
- Springer
- Journal:
- AI and Ethics More from this journal
- Volume:
- 2
- Pages:
- 623-630
- Publication date:
- 2021-10-19
- Acceptance date:
- 2021-10-06
- DOI:
- EISSN:
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2730-5961
- Language:
-
English
- Keywords:
- Pubs id:
-
1202889
- Local pid:
-
pubs:1202889
- Deposit date:
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2021-10-14
Terms of use
- Copyright holder:
- Radanliev et al.
- Copyright date:
- 2021
- Rights statement:
- Copyright © 2021 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
- Licence:
- CC Attribution (CC BY)
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