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
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.
引用
收藏
页数:19
相关论文
共 65 条
  • [1] Afgan E, 2010, BMC BIOINFORMATICS, V11, P1
  • [2] CloudLaunch: Discover and deploy cloud applications
    Afgan, Enis
    Lonie, Andrew
    Taylor, James
    Goonasekera, Nuwan
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 94 : 802 - 810
  • [3] CloudMan as a platform for tool, data, and analysis distribution
    Afgan, Enis
    Chapman, Brad
    Taylor, James
    [J]. BMC BIOINFORMATICS, 2012, 13
  • [4] Agapito G., 2013, CLOUD4SNP DISTRIBUTE, P468, DOI [10.1145/2506583.2506605, DOI 10.1145/2506583.2506605]
  • [5] The limits of reductionism in medicine: Could systems biology offer an alternative?
    Ahn, Andrew C.
    Tewari, Muneesh
    Poon, Chi-Sang
    Phillips, Russell S.
    [J]. PLOS MEDICINE, 2006, 3 (06): : 709 - 713
  • [6] Simulation-Driven Platform for Edge-Based AAL Systems
    Aloi, Gianluca
    Fortino, Giancarlo
    Gravina, Raffaele
    Pace, Pasquale
    Savaglio, Claudio
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021, 39 (02) : 446 - 462
  • [7] CRYPTOGRAPHIC TECHNIQUES AND NETWORK SECURITY
    AYOUB, F
    SINGH, K
    [J]. IEE PROCEEDINGS-F RADAR AND SIGNAL PROCESSING, 1984, 131 (07) : 684 - 694
  • [8] Barillaro Luca, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), P2169, DOI 10.1109/BIBM55620.2022.9995598
  • [9] Scalable deep learning for healthcare: methods and applications
    Barillaro, Luca
    Agapito, Giuseppe
    Cannataro, Mario
    [J]. 13TH ACM INTERNATIONAL CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY AND HEALTH INFORMATICS, BCB 2022, 2022,
  • [10] ReportFlow: an application for EEG visualization and reporting using cloud platform
    Bertuccio, S.
    Tardiolo, G.
    Giambo, F. M.
    Giuffre, G.
    Muratore, R.
    Settimo, C.
    Raffa, A.
    Rigano, S.
    Bramanti, A.
    Muscara, N.
    De Cola, M. C.
    [J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2021, 21 (01)