DocumentCode
85993
Title
Trustworthy Processing of Healthcare Big Data in Hybrid Clouds
Author
Nepal, Surya ; Ranjan, Rajiv ; Choo, Kim-Kwang Raymond
Author_Institution
Digital Productivity Flagship, Commonwealth Sci. & Ind. Res. Organ. (CSIRO), Clayton, VIC, Australia
Volume
2
Issue
2
fYear
2015
fDate
Mar.-Apr. 2015
Firstpage
78
Lastpage
84
Abstract
A 2015 Gartner report noted that data processing technologies haven´t kept pace with the significant increase in the volume of digital healthcare data, and an integrated and trustworthy healthcare analytics solution can facilitate more effective decision making in patient care and risk management, improving quality of life, optimizing performance of services, and so on. The challenge is how to ensure data confidentiality and integrity when storing such data but still make it highly available, process it to extract actionable information for decision makers, including medical professionals, and share it with collaborators, while preserving the privacy of individual patients and giving them the full control of their data at all times. This challenge calls for a trustworthy big data processing platform.
Keywords
Big Data; cloud computing; data integrity; data privacy; decision making; health care; medical computing; patient care; risk management; trusted computing; data confidentiality; data integrity; data processing technologies; decision making; digital healthcare data; healthcare big data; hybrid clouds; integrated healthcare analytics solution; patient care; risk management; trustworthy big data processing platform; trustworthy healthcare analytics solution; Big data; Biomedical imaging; Cloud computing; Cryptography; Data privacy; Medical services; Internet-connected devices; big data; big data processing; cloud computing; healthcare; privacy;
fLanguage
English
Journal_Title
Cloud Computing, IEEE
Publisher
ieee
ISSN
2325-6095
Type
jour
DOI
10.1109/MCC.2015.36
Filename
7116439
Link To Document