Achieving Data Completeness in Electronic Medical Records: A Conceptual Model and Hypotheses Development

dc.contributor.author Liu, Caihua
dc.contributor.author Zowghi, Didar
dc.contributor.author Talaei-Khoei, Amir
dc.contributor.author Daniel, Jay
dc.date.accessioned 2017-12-28T01:43:59Z
dc.date.available 2017-12-28T01:43:59Z
dc.date.issued 2018-01-03
dc.description.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.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2018.357
dc.identifier.isbn 978-0-9981331-1-9
dc.identifier.uri http://hdl.handle.net/10125/50245
dc.language.iso eng
dc.relation.ispartof Proceedings of the 51st Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Big Data on Healthcare Application
dc.subject Conceptual Model, Data Completeness, Data Quality, Electronic Medical Records
dc.title Achieving Data Completeness in Electronic Medical Records: A Conceptual Model and Hypotheses Development
dc.type Conference Paper
dc.type.dcmi Text
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