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    Ubiquitous health profile (UHPr): a big data curation platform for supporting health data interoperability

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    Authors
    Satti, Fahad Ahmed
    Ali, Taqdir
    Hussain, Jamil
    Khan, Wajahat Ali
    Khattak, Asad Masood
    Lee, Sungyoung
    Affiliation
    Kyung Hee University, Global Campus, Yongin, South Korea
    Hamad Bin Khalifa University (HBKU), Education City, Doha, Qatar
    University of Derby
    Zayed University, Abu Dhabi, UAE
    Issue Date
    2020-08-19
    
    Metadata
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    Abstract
    The lack of Interoperable healthcare data presents a major challenge, towards achieving ubiquitous health care. The plethora of diverse medical standards, rather than common standards, is widening the gap of interoperability. While many organizations are working towards a standardized solution, there is a need for an alternate strategy, which can intelligently mediate amongst a variety of medical systems, not complying with any mainstream healthcare standards while utilizing the benefits of several standard merging initiates, to eventually create digital health personas. The existence and efficiency of such a platform is dependent upon the underlying storage and processing engine, which can acquire, manage and retrieve the relevant medical data. In this paper, we present the Ubiquitous Health Profile (UHPr), a multi-dimensional data storage solution in a semi-structured data curation engine, which provides foundational support for archiving heterogeneous medical data and achieving partial data interoperability in the healthcare domain. Additionally, we present the evaluation results of this proposed platform in terms of its timeliness, accuracy, and scalability. Our results indicate that the UHPr is able to retrieve an error free comprehensive medical profile of a single patient, from a set of slightly over 116.5 million serialized medical fragments for 390,101 patients while maintaining a good scalablity ratio between amount of data and its retrieval speed.
    Citation
    Satti, F.A., Ali, T., Hussain, J., Khan, W.A., Khattak, A.M. and Lee, S., (2020). 'Ubiquitous health profile (UHPr): a big data curation platform for supporting health data interoperability'. Computing, pp. 1-36.
    Publisher
    Springer
    Journal
    Computing
    URI
    http://hdl.handle.net/10545/625139
    DOI
    10.1007/s00607-020-00837-2
    Additional Links
    https://link.springer.com/article/10.1007/s00607-020-00837-2
    Type
    Article
    Language
    en
    ISSN
    0010-485X
    EISSN
    1436-5057
    ae974a485f413a2113503eed53cd6c53
    10.1007/s00607-020-00837-2
    Scopus Count
    Collections
    Department of Electronics, Computing & Maths

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