Abstract
The worldwide spread of the COVID-19 disease has had a catastrophic effect on healthcare supply chains. The current manuscript systematically analyzes existing studies mitigating strategies for disruption management in the healthcare supply chain during COVID-19. Using a systematic approach, we recognized 35 related papers. Artificial intelligence (AI), block chain, big data analytics, and simulation are the most important technologies employed in supply chain management in healthcare. The findings reveal that the published research has concentrated mainly on generating resilience plans for the management of COVID-19 impacts. Furthermore, the vulnerability of healthcare supply chains and the necessity of establishing better resilience methods are emphasized in most of the research. However, the practical application of these emerging tools for managing disturbance and warranting resilience in the supply chain has been examined only rarely. This article provides directions for additional research, which can guide researchers to develop and conduct impressive studies related to the healthcare supply chain for different disasters.
DOI
10.1016/j.imu.2023.101199
Publication Date
2023-01-01
Publication Title
Informatics in Medicine Unlocked
Volume
38
ISSN
2352-9148
Keywords
COVID-19, Healthcare supply chain, Literature review, Pandemics, Supply chain management
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Arji, G., Ahmadi, H., Avazpoor, P., & Hemmat, M. (2023) 'Identifying resilience strategies for disruption management in the healthcare supply chain during COVID-19 by digital innovations: A systematic literature review', Informatics in Medicine Unlocked, 38. Available at: https://doi.org/10.1016/j.imu.2023.101199
