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dc.contributor.authorLiu, Caihua
dc.contributor.authorZowghi, Didar
dc.contributor.authorTalaei-Khoei, Amir
dc.contributor.authorDaniel, Jay
dc.date.accessioned2018-05-22T11:06:03Z
dc.date.available2018-05-22T11:06:03Z
dc.date.issued2018-01-03
dc.identifier.citationLiu, 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.en
dc.identifier.isbn9780998133119
dc.identifier.doi10.24251/HICSS.2018.357
dc.identifier.urihttp://hdl.handle.net/10545/622725
dc.description.abstractThis 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.description.sponsorshipNAen
dc.language.isoenen
dc.publisherUniversity of Hawaiien
dc.relation.urlhttp://hdl.handle.net/10125/50245en
dc.relation.urlhttps://scholarspace.manoa.hawaii.edu/handle/10125/49887en
dc.subjectBig dataen
dc.subjectConceptual modelen
dc.subjectData completenessen
dc.subjectData qualityen
dc.subjectElectronic medical recordsen
dc.subjectHealthcare dataen
dc.titleAchieving data completeness in electronic medical records: A conceptual model and hypotheses development.en
dc.typeMeetings and Proceedingsen
dc.contributor.departmentUniversity of Technology Sydneyen
dc.contributor.departmentUniversity of Nevadaen
dc.identifier.journalProceedings of the 51st Hawaii International Conference on System Sciencesen
refterms.dateFOA2019-02-28T17:07:26Z
html.description.abstractThis 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.


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