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    Achieving data completeness in electronic medical records: A conceptual model and hypotheses development.

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    Authors
    Liu, Caihua
    Zowghi, Didar
    Talaei-Khoei, Amir
    Daniel, Jay cc
    Affiliation
    University of Technology Sydney
    University of Nevada
    Issue Date
    2018-01-03
    
    Metadata
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    Abstract
    This paper aims at proposing a conceptual model of achieving data completeness in electronic medical records (EMR). For this to happen, firstly, we draw on the model of factors influencing data quality management to construct our conceptual model. Secondly, we develop hypotheses of relationships between influencing factors for data completeness and mediators for achieving data completeness in EMR based on the literature. Our conceptual model extends the prior model for factors influencing data quality management by adding a new factor and exploring the relationships between the influencing factors within the context of data completeness in EMR. The proposed conceptual model and the presented hypotheses once empirically validated will be the basis for the development of tools and techniques for achieving data completeness in EMR.
    Citation
    Liu, C. et al (2018) 'Achieving data completeness in electronic medical records: A conceptual model and hypotheses development.', Proceedings of the 51st Hawaii International Conference on System Sciences, University of Hawaii, 3rd January.
    Publisher
    University of Hawaii
    Journal
    Proceedings of the 51st Hawaii International Conference on System Sciences
    URI
    http://hdl.handle.net/10545/622725
    DOI
    10.24251/HICSS.2018.357
    Additional Links
    http://hdl.handle.net/10125/50245
    https://scholarspace.manoa.hawaii.edu/handle/10125/49887
    Type
    Meetings and Proceedings
    Language
    en
    ISBN
    9780998133119
    ae974a485f413a2113503eed53cd6c53
    10.24251/HICSS.2018.357
    Scopus Count
    Collections
    Derby Business School

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