Litcius/Paper detail

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

Giuseppe Agapito, Mario Cannataro

2023Big Data and Cognitive Computing48 citationsDOIOpen Access PDF

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.

Topics & Concepts

Cloud computingBig dataData scienceComputer scienceData sharingCloud computing securityScale (ratio)Health careData securityComputer securityData miningMedicineQuantum mechanicsEncryptionOperating systemPathologyEconomicsEconomic growthPhysicsAlternative medicineBlockchain Technology Applications and SecurityCloud Data Security SolutionsIoT and Edge/Fog Computing