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dc.contributor.authorLiu, Caihua
dc.contributor.authorTalaei-Khoei, Amir
dc.contributor.authorZowghi, Didae
dc.contributor.authorDaniel, Jay
dc.date.accessioned2018-03-19T10:08:05Z
dc.date.available2018-03-19T10:08:05Z
dc.date.issued2017-09-19
dc.identifier.citationLiu, Caihua; Talaei-Khoei, Amir; Zowghi, Didar; and Daniel, Jay (2017) "Data Completeness in Healthcare: A Literature Survey," Pacific Asia Journal of the Association for Information Systems: Vol. 9 : Iss. 2 , Article 5.en
dc.identifier.issn19437544
dc.identifier.urihttp://hdl.handle.net/10545/622370
dc.description.abstractAs the adoption of eHealth has made it easier to access and aggregate healthcare data, there has been growing application for clinical decisions, health services planning, and public health monitoring with daily collected data in clinical care. Reliable data quality is a precursor of the aforementioned tasks. There is a body of research on data quality in healthcare, however, a clear picture of data completeness in this field is missing. This research aims to identify and classify current research themes related to data completeness in healthcare. In addition, the paper presents problems with data completeness in the reviewed literature and identifies methods that have been adopted to address those problems. This study has reviewed 24 papers (January 2011–April 2016) published in information and computing sciences, biomedical engineering, and medicine and health sciences journals. The paper uncovers three main research themes, including design and development, evaluation, and determinants. In conclusion, this paper improves our understanding of the current state of the art of data completeness in healthcare records and indicates future research directions.
dc.description.sponsorshipNAen
dc.language.isoenen
dc.publisherAssociation for Information Systemsen
dc.relation.urlhttp://aisel.aisnet.org/pajais/vol9/iss2/5/en
dc.subjectData completenessen
dc.subjectData qualityen
dc.subjectHealthcareen
dc.subjectLiterature surveyen
dc.titleData completeness in healthcare: A literature survey.en
dc.typeArticleen
dc.contributor.departmentUniversity of Technology Sydneyen
dc.contributor.departmentUniversity of Nevadaen
dc.identifier.journalPacific Asia Journal of the Association for Information Systemsen
refterms.dateFOA2018-06-19T00:00:00Z
html.description.abstractAs the adoption of eHealth has made it easier to access and aggregate healthcare data, there has been growing application for clinical decisions, health services planning, and public health monitoring with daily collected data in clinical care. Reliable data quality is a precursor of the aforementioned tasks. There is a body of research on data quality in healthcare, however, a clear picture of data completeness in this field is missing. This research aims to identify and classify current research themes related to data completeness in healthcare. In addition, the paper presents problems with data completeness in the reviewed literature and identifies methods that have been adopted to address those problems. This study has reviewed 24 papers (January 2011–April 2016) published in information and computing sciences, biomedical engineering, and medicine and health sciences journals. The paper uncovers three main research themes, including design and development, evaluation, and determinants. In conclusion, this paper improves our understanding of the current state of the art of data completeness in healthcare records and indicates future research directions.


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