Abstract
Healthcare systems, beyond delivering health services, play a pivotal role in shaping national identities. Their resilience is thus crucial. This paper, anchored on the World Health Organization’s resilience framework, investigated the role of AI-powered cloud computing in enhancing the resilience of healthcare systems, specifically focusing on governance within the systems. A qualitative study was conducted using the interpretivism paradigm. Data was collected through interviews with healthcare information technology (IT) experts knowledgeable in healthcare IT. Preliminary findings from the participants reveal that AI-cloud solutions promote participatory leadership by facilitating an integrated system and improved decision-making. Furthermore, these technological solutions foster coordination among healthcare entities, ensuring data security and performance monitoring. AI’s capability in cloud computing helps in top-tier data management and the prediction of potential risks, thereby emphasizing its importance in healthcare. This paper underscores the role of AI-powered cloud computing in reinforcing healthcare governance and overall system resilience.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Berisha-Shaqiri, A.: Impact of information technology and internet in businesses. Acad. J. Bus. Adm. Law Soc. Sci. 1, 73–79 (2015)
Aldianto, L., Anggadwita, G., Permatasari, A., Mirzanti, I.R., Williamson, I.O.: Toward a business resilience framework for startups. Sustainability 13(6), 3132 (2021). https://doi.org/10.3390/su13063132
Garcia-Perez, A., Cegarra-Navarro, J.G., Sallos, M.P., Martinez-Caro, E., Chinnaswamy, A.: Resilience in healthcare systems: cyber security and digital transformation. Technovation 121, 102583 (2023)
Thomas, S., Sagan, A., Larkin, J., Cylus, J., Figueras, J., Karanikolos, M.: Strengthening health systems resilience: Key concepts and strategies (2020). http://europepmc.org/abstract/MED/32716618
World Health Organization: The world health report 2006: working together for health. World Health Organization (2006)
Longstaff, P.H., Kowslowski, T.G., Geoghegan, W.: Translating resilience: a framework to enhance communication and implementation. In: Proceedings 5th Symposium on Resilience Engineering: Managing Trade-offs. Resilience Engineering Association, Sophia Anti-polis, France, pp. 1–10 (2014). http://publications.tno.nl/publication/34613515/X0B0iX/herrera-2014-resilience
Müller, G., Koslowski, T.G., Accorsi, R.: Resilience - a new research field in business information systems? In: Abramowicz, W. (ed.) Business Information Systems Work-shops, pp. 3–14. Springer, Berlin Heidelberg, Berlin, Heidelberg (2013). https://doi.org/10.1007/978-3-642-41687-3_2
McCoy, D., Allotey, P.: An introduction to health systems. In: Tan, D.T., Pathmanathan, I., Martins, Jo.M., Allotey, P., Lim, S.C. (eds.) Systems Thinking Analyses for Health Policy and Systems Development: A Malaysian Case Study. Cambridge University Press, Cambridge, pp. 3–16 (2021). https://doi.org/10.1017/9781108954846.004
World Bank: Change Cannot Wait: Building Resilient Health Systems in the Shadow of COVID-19 (2022)
Rashid, A., Chaturvedi, A.: Cloud computing characteristics and services a brief review. Int. J. Comput. Sci. Eng. 7(2), 421–426 (2019). https://doi.org/10.26438/ijcse/v7i2.421426
Wamba-Taguimdje, S.-L., Fosso Wamba, S., Kala Kamdjoug, J.R., Tchatchouang Wanko, C.E.: Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects. Bus. Process. Manag. J. 26, 1893–1924 (2020)
Rajasekaran, S.B.: AI and Cloud Computing-How the Cloud is accelerating AI. Int. J. Intell. Syst. Appl. Eng. 11, 324–329 (2023)
Belgaum, M.R., Alansari, Z., Musa, S., Alam, M.M., Mazliham, M.S.: Role of artificial intelligence in cloud computing, IoT and SDN: Reliability and scalability issues. Int. J. Electr. Comput. Eng. 11, 4458 (2021)
Rix, C.: National Health Insurance – Finding A Workable Healthcare Model for SA. https://contenthub.sasfin.com/insights/articles/national-health-insurance-finding-a-workable-healthcare-model-for-sa/#:~:text=The%20South%20African%20healthcare%20system,sectors%20operate%20largely%20in%20silos. Accessed 3 Aug 2023
Yamin, M., Al Makrami, A.A.: Cloud computing in SMEs: case of Saudi Arabia. BVICA M’s Int. J. Inform. Technol. 7, 853 (2015)
Bassett, C., Schellnack-Kelly, I.: Cloud computing and innovation: its viability, benefits, challenges and records management capabilities (2015)
Organization, W.H.: Integrating health services: brief. World Health Organization (2018)
Haraldseid-Driftland, C., et al.: The role of collaborative learning in resilience in healthcare—a thematic qualitative meta-synthesis of resilience narratives. BMC Health Serv. Res. 22, 1–12 (2022)
Abdalla, P.A., Varol, A.: Advantages to disadvantages of cloud computing for small-sized business. In: 2019 7th International Symposium on Digital Forensics and Security (ISDFS), pp. 1–6. IEEE (2019)
Miriovsky, B.J., Shulman, L.N., Abernethy, A.P.: Importance of health information technology, electronic health records, and continuously aggregating data to comparative effectiveness research and learning health care. J. Clin. Oncol. 30, 4243–4248 (2012). https://doi.org/10.1200/JCO.2012.42.8011
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 IFIP International Federation for Information Processing
About this paper
Cite this paper
Alexandre Junior, A., Ndayizigamiye, P., Bokaba, T. (2024). The Effect of AI-Powered Cloud Computing on the Resilience of Healthcare Systems: A Governance Perspective. In: Sharma, S.K., Dwivedi, Y.K., Metri, B., Lal, B., Elbanna, A. (eds) Transfer, Diffusion and Adoption of Next-Generation Digital Technologies. TDIT 2023. IFIP Advances in Information and Communication Technology, vol 698. Springer, Cham. https://doi.org/10.1007/978-3-031-50192-0_34
Download citation
DOI: https://doi.org/10.1007/978-3-031-50192-0_34
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-50191-3
Online ISBN: 978-3-031-50192-0
eBook Packages: Computer ScienceComputer Science (R0)
