Resilient Healthcare Systems through AI-Powered Cloud Computing: Perspectives on Resource Allocation
Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
This study explores the impact of AI-powered cloud computing on the resilience of healthcare systems, focusing on the resources building block of the World Health Organization. The study adopts the interpretivism philosophy coupled with an inductive approach, and a combination of purposive and snowball sampling, to gather insights from 11 participants through interviews. The findings reveal that AI-powered cloud computing significantly improves resource distribution through advanced data analytics and predictive tools, facilitating smarter decision-making and optimizing operations. The study concludes that AI-powered cloud computing is essential for flexible, efficient service delivery and developing adaptable healthcare models. These insights are invaluable for policymakers and technology developers and highlight the need for integrating AI technologies into healthcare to foster their resilient systems. This research contributes to the discourse on healthcare resilience, underscoring the synergistic potential of technology and healthcare.
Recommended Citation
Bokaba, Tebogo; Ndayizigamiye, Patrick; Idemudia, Efosa; and Alexandre Junior, Armindo, "Resilient Healthcare Systems through AI-Powered Cloud Computing: Perspectives on Resource Allocation" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 4.
https://aisel.aisnet.org/hicss-58/hc/process/4
Resilient Healthcare Systems through AI-Powered Cloud Computing: Perspectives on Resource Allocation
Hilton Waikoloa Village, Hawaii
This study explores the impact of AI-powered cloud computing on the resilience of healthcare systems, focusing on the resources building block of the World Health Organization. The study adopts the interpretivism philosophy coupled with an inductive approach, and a combination of purposive and snowball sampling, to gather insights from 11 participants through interviews. The findings reveal that AI-powered cloud computing significantly improves resource distribution through advanced data analytics and predictive tools, facilitating smarter decision-making and optimizing operations. The study concludes that AI-powered cloud computing is essential for flexible, efficient service delivery and developing adaptable healthcare models. These insights are invaluable for policymakers and technology developers and highlight the need for integrating AI technologies into healthcare to foster their resilient systems. This research contributes to the discourse on healthcare resilience, underscoring the synergistic potential of technology and healthcare.
https://aisel.aisnet.org/hicss-58/hc/process/4