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Data quality governance at the emergency department: a qualitative study influenced by grounded theory in nine Swedish emergency departments
Karolinska Institutet, Sweden;InterSystems, Sweden.
Linnaeus University, Faculty of Health and Life Sciences, Department of Health and Caring Sciences.ORCID iD: 0000-0003-1037-4682
Karolinska Institutet, Sweden;Cambio Healthcare Systems, Sweden.
Karolinska Institutet, Sweden.
2019 (English)In: MEDINFO 2019: Health and Wellbeing e-Networks for All / [ed] Lucila Ohno-Machado & Brigitte Séroussi, IOS Press, 2019, Vol. 264, p. 1980-1981Conference paper, Published paper (Refereed)
Abstract [en]

Vital Sign Data Quality is essential for successful implementation of clinical decision support systems in emergency care. Studies have shown that data quality is inadequate and needs improvement. This study shows that data quality is dependent on both technical and human factors and provides a conceptual model of data quality governance and improvement in the emergency department.

Place, publisher, year, edition, pages
IOS Press, 2019. Vol. 264, p. 1980-1981
Series
Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365
Keywords [en]
electronic health records, quality improvement, vital signs
National Category
Nursing
Research subject
Health and Caring Sciences, Nursing
Identifiers
URN: urn:nbn:se:lnu:diva-93807DOI: 10.3233/SHTI190744ISI: 000569653400564PubMedID: 31438438Scopus ID: 2-s2.0-85071433014ISBN: 9781643680026 (print)ISBN: 9781643680033 (electronic)OAI: oai:DiVA.org:lnu-93807DiVA, id: diva2:1427001
Conference
17th World Congress on Medical and Health Informatics, MEDINFO 2019, Lyon, France, August 25-30, 2019
Available from: 2020-04-28 Created: 2020-04-28 Last updated: 2021-02-03Bibliographically approved

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Vicente, Joana

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf