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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 12, 2024.
Abstract: The adoption of cloud computing in healthcare holds the potential to revolutionize healthcare delivery, particularly in developing regions. Despite its promise of scalability, cost-effectiveness, and improved data management, challenges such as digital literacy gaps, infrastructure deficiencies, and security concerns hinder its implementation. This study evaluates the readiness for adopting cloud computing in Sudan's healthcare sector through a comprehensive SWOT analysis. Findings reveal that 93.75% of patients are willing to learn electronic health systems (EHS), yet 53.12% prefer paper records, indicating trust issues. Among medical staff, 34.38% report poor digital literacy, and 46.88% cite limited access to technology as a barrier. Ministry of Health employees highlight poor infrastructure (33.33%) and limited resources (30%) as significant obstacles. By identifying strengths, weaknesses, opportunities, and threats, this research provides actionable recommendations for overcoming these barriers. The findings contribute to the ongoing discourse on digital health transformation, offering insights into fostering trust in cloud technologies for enhanced healthcare outcomes.
Alaa Abas Mohamed, “Unlocking the Potential of Cloud Computing in Healthcare: A Comprehensive SWOT Analysis of Stakeholder Readiness and Implementation Challenges” International Journal of Advanced Computer Science and Applications(IJACSA), 15(12), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0151275
@article{Mohamed2024,
title = {Unlocking the Potential of Cloud Computing in Healthcare: A Comprehensive SWOT Analysis of Stakeholder Readiness and Implementation Challenges},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0151275},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0151275},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {12},
author = {Alaa Abas Mohamed}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.