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.
An Overview on the Challenges and Limitations Using Cloud Computing in Healthcare Corporations
Agapito, Giuseppe
Writing – Original Draft Preparation
;Cannataro, MarioWriting – Review & Editing
2023-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
