Journal article
Disease X vaccine production and supply chains: risk assessing healthcare systems operating with artificial intelligence and industry 4.0
- Abstract:
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Objective: The objective of this theoretical paper is to identify conceptual solutions for securing, predicting, and improving vaccine production and supply chains.
Method: The case study, action research, and review method is used with secondary data – publicly available open access data.
Results: A set of six algorithmic solutions is presented for resolving vaccine production and supply chain bottlenecks. A different set of algorithmic solutions is presented for forecasting risks during a Disease X event. A new conceptual framework is designed to integrate the emerging solutions in vaccine production and supply chains. The framework is constructed to improve the state-of-the-art by intersecting the previously isolated disciplines of edge computing; cyber-risk analytics; healthcare systems, and AI algorithms.
Conclusion: For healthcare systems to cope better during a disease X event than during Covid-19, we need multiple highly specific AI algorithms, targeted for solving specific problems. The proposed framework would reduce production and supply chain risk and complexity in a Disease X event.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 810.0KB, Terms of use)
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- Publisher copy:
- 10.1007/s12553-022-00722-2
Authors
- Grant:
- UCL REF 3641419
- 2033180
- Publisher:
- Springer
- Journal:
- Health and Technology More from this journal
- Volume:
- 13
- Issue:
- 1
- Pages:
- 11–15
- Publication date:
- 2023-01-04
- Acceptance date:
- 2022-12-21
- DOI:
- EISSN:
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2190-7196
- ISSN:
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2190-7188
- Language:
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English
- Keywords:
- Pubs id:
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1317568
- Local pid:
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pubs:1317568
- Deposit date:
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2023-01-02
Terms of use
- Copyright holder:
- Radanliev and De Roure
- Copyright date:
- 2023
- Rights statement:
- © The Author(s) 2023. 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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