Towards Smart and Green Features of Cloud Computing in Healthcare Services: A Systematic Literature Review

Aschalew Arega, Durga Prasad Sharma
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Abstract

Background: The healthcare sector has been facing multilateral challenges regarding the quality of services and access to healthcare innovations. As the population grows, the sector requires faster and more reliable services, but the opposite is true in developing countries. As a robust technology, cloud computing has numerous features and benefits that are still to be explored. The intervention of the latest technologies in healthcare is crucial to shifting toward next-generation healthcare systems. In developing countries like Ethiopia, cloud features are still far from being systematically explored to design smart and green healthcare services. Objective: To excavate contextualized research gaps in the existing studies towards smart and green features of cloud computing in healthcare information services. Methods: We conducted a systematic review of research publications indexed in Scopus, Web of Science, IEEE Xplore, PubMed, and ProQuest. 52 research articles were screened based on significant selection criteria and systematically reviewed. Extensive efforts have been made to rigorously review recent, contemporary, and relevant research articles. Results: This study presented a summary of parameters, proposed solutions from the reviewed articles, and identified research gaps. These identified research gaps are related to security and privacy concerns, data repository standardization, data shareability, self-health data access control, service collaboration, energy efficiency/greenness, consolidation of health data repositories, carbon footprint, and performance evaluation. Conclusion: The paper consolidated research gaps from multiple research investigations into a single paper, allowing researchers to develop innovative solutions for improving healthcare services. Based on a rigorous analysis of the literature, the existing systems overlooked green computing features and were highly vulnerable to security violations. Several studies reveal that security and privacy threats have been seriously hampering the exponential growth of cloud computing. 54 percent of the reviewed articles focused on security and privacy concerns. Keywords: Cloud computing, Consolidation, Green computing, Green features, Healthcare services, Systematic literature review.
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医疗服务中云计算的智能和绿色特征:系统文献综述
背景:医疗保健部门一直面临着有关服务质量和获得医疗保健创新的多边挑战。随着人口的增长,该部门需要更快、更可靠的服务,但发展中国家的情况正好相反。作为一项健壮的技术,云计算有许多特性和优点有待探索。最新技术在医疗保健的干预是至关重要的转向下一代医疗保健系统。在埃塞俄比亚等发展中国家,云功能还远未被系统地探索以设计智能和绿色医疗服务。目的:挖掘现有医疗信息服务中云计算智能与绿色特征研究的情境化研究空白。方法:我们对Scopus、Web of Science、IEEE Xplore、PubMed和ProQuest检索的研究出版物进行了系统综述。根据重要的选择标准对52篇研究论文进行筛选,并进行系统审查。广泛的努力已作出严格审查最近,当代和相关的研究文章。结果:本研究提出了参数的总结,从审查的文章提出解决方案,并确定了研究差距。这些已确定的研究差距涉及安全和隐私问题、数据存储库标准化、数据可共享性、自我健康数据访问控制、服务协作、能源效率/绿色、健康数据存储库整合、碳足迹和绩效评估。结论:该论文将多个研究调查的研究空白整合到一篇论文中,使研究人员能够开发改进医疗保健服务的创新解决方案。根据对文献的严格分析,现有系统忽略了绿色计算功能,并且极易受到安全违规的影响。几项研究表明,安全和隐私威胁严重阻碍了云计算的指数级增长。被审查的文章中有54%关注安全和隐私问题。关键词:云计算、整合、绿色计算、绿色特征、医疗服务、系统文献综述
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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