Empirical Evaluation of the Influence of EMR Alignment to Care Processes on Data Completeness

dc.contributor.author Liu, Caihua
dc.contributor.author Zowghi, Didar
dc.contributor.author Talaei-Khoei, Amir
dc.date.accessioned 2020-01-04T07:53:15Z
dc.date.available 2020-01-04T07:53:15Z
dc.date.issued 2020-01-07
dc.description.abstract Data completeness is an important dimension of data quality in electronic medical records (EMR). There are many constructs that influence data completeness in EMR. In this paper, we investigate three of these constructs: Clinical staff participation, EMR integration, and EMR alignment to care processes. We use these constructs from related studies as theoretical support to propose a conceptual model of factors influencing data completeness in EMR. The conceptual model is empirically validated using a survey with clinical staff participants. The results reveal that a high level of clinical staff’s participation influences the data completeness in EMR. Furthermore, the alignment of EMR to the care processes has an impact on the data completeness in EMR.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2020.432
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/64174
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd 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 IT Adoption, Diffusion and Evaluation in Healthcare
dc.subject alignment of electronic medical records to care processes
dc.subject data completeness
dc.subject data quality
dc.subject conceptual model
dc.title Empirical Evaluation of the Influence of EMR Alignment to Care Processes on Data Completeness
dc.type Conference Paper
dc.type.dcmi Text
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