An Overview on the Challenges and Limitations Using Cloud Computing in Healthcare Corporations

被引：13
|
作者：
Agapito, Giuseppe [1 ,2 ,3 ]
Cannataro, Mario [3 ,4 ]
机构：
[1] Magna Graecia Univ Catanzaro, Dept Law Econ & Social Sci, I-88100 Catanzaro, Italy
[2] Magna Graecia Univ Catanzaro, Cultura Romana Diritto & Sistemi Giurid Contempora, I-88100 Catanzaro, Italy
[3] Magna Graecia Univ Catanzaro, Data Analyt Res Ctr, I-88100 Catanzaro, Italy
[4] Magna Graecia Univ Catanzaro, Dept Med & Surg Sci, I-88100 Catanzaro, Italy
来源：
BIG DATA AND COGNITIVE COMPUTING | 2023年 / 7卷 / 02期
关键词：
cloud computing; big data; omics data; healthcare; artificial intelligence; cryptography; IoT; edge computing; BIG DATA; FRAMEWORK;
D O I：
10.3390/bdcc7020068
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Technological advances in high throughput platforms for biological systems enable the cost-efficient production of massive amounts of data, leading life science to the Big Data era. The availability of Big Data provides new opportunities and challenges for data analysis. Cloud Computing is ideal for digging with Big Data in omics sciences because it makes data analysis, sharing, access, and storage effective and able to scale when the amount of data increases. However, Cloud Computing presents several issues regarding the security and privacy of data that are particularly important when analyzing patients' data, such as in personalized medicine. The objective of the present study is to highlight the challenges, security issues, and impediments that restrict the widespread adoption of Cloud Computing in healthcare corporations.
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收藏
页数：19
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