Application of artificial intelligence for resilient and sustainable healthcare system: systematic literature review and future research directions

Vishwakarma, Laxmi Pandit, Singh, Rajesh Kumar, Mishra, Ruchi and Kumari, Archana ORCID: 0000-0003-1005-9543 (2023) Application of artificial intelligence for resilient and sustainable healthcare system: systematic literature review and future research directions. International Journal of Production Research. doi:10.1080/00207543.2023.2188101 (In Press)

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12513 Vishwakarma, Singh, Mishra, Kumari (2023) Application of artificial intelligence for resilient and sustainable healthcare system - systematic literature review and future research directions.pdf - Accepted Version
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Abstract

Recent years have witnessed increased pressure across the global healthcare system during the COVID-19 pandemic. The COVID-19 pandemic, a disaster, has shattered efficient healthcare operations and taught the importance of a resilient and sustainable healthcare system. The adoption of Artificial Intelligence (AI) has positively contributed to developing the best healthcare systems. To understand how AI contributes to building a resilient and sustainable healthcare system, we undertook a systematic literature review of 89 articles extracted from Scopus and Web of Science databases. The study is organized around several key themes under applications, benefits, and challenges of using AI technology in healthcare, offering a valuable synthesis of the relevant key literature. It is observed that AI has wide applications in radiology, surgery, medical, research, and development department of healthcare. Based on the analysis, a research framework is proposed using an extended Antecedents, Practices, and Outcomes (APO) framework. This framework comprises AI applications' antecedents, practices, and outcomes for building a resilient and sustainable healthcare system. Consequently, three propositions are drawn in this study. Furthermore, our study has adopted the theory, methodology, and context (TMC) framework to provide future research directions which can be used as a reference point for future academicians and practitioners.

Item Type: Article
Article Type: Article
Uncontrolled Keywords: Artificial intelligence; Disaster; Healthcare; Resilience; Sustainability; Systematic literature review
Subjects: H Social Sciences > H Social Sciences (General)
R Medicine > R Medicine (General)
Divisions: Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas: Applied Business & Technology
Depositing User: Archana Kumari
Date Deposited: 23 Mar 2023 11:00
Last Modified: 23 Jan 2024 15:13
URI: https://eprints.glos.ac.uk/id/eprint/12513

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