A data quality framework, method and tools for managing data quality in a health care setting: an action case study

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    Abstract

    The effectiveness, efficiency and reliability of health services depends on the quality of data in health information systems used by health care providers, managers and decision-makers. The aim of this research-in-progress paper is to propose a data quality framework, method and set of tools to help an information management team at a health care institution to monitor data quality as part of their business intelligence process. The proposed tool has the capacity to capture and visualise different stakeholder perceptions of data quality depending on the user role and the task they are responsible for. This study uses an action case method to develop a prototype of the tool and provide an illustration of its implementation and usage by multiple stakeholders.

    LanguageEnglish
    Title of host publicationProceedings of the IFIP DSS 2018
    Subtitle of host publication19th Open Conference of the IFIP WG 8.3 on Decision Support Systems
    EditorsMarko Bohanec, Martin Žnidaršič, Biljana Mileva Boshkoska, Frédéric Adam
    Place of PublicationAbingdon UK
    PublisherTaylor & Francis
    Pages144-154
    Number of pages11
    DOIs
    Publication statusPublished - 2018
    EventIFIP International Conference on Decision Support Systems 2018 - Ljubljana, Slovenia
    Duration: 13 Jun 201815 Jun 2018
    Conference number: 19th
    http://ifip2018dss.ijs.si/

    Publication series

    NameJournal of Decision Systems
    PublisherTaylor & Francis
    No.S1
    Volume27
    ISSN (Print)1246-0125
    ISSN (Electronic)2116-7052

    Conference

    ConferenceIFIP International Conference on Decision Support Systems 2018
    Abbreviated titleIFIP DSS 2018
    CountrySlovenia
    CityLjubljana
    Period13/06/1815/06/18
    Internet address

    Keywords

    • action case
    • business intelligence
    • Data quality
    • health care

    Cite this

    Bai, L., Meredith, R., & Burstein, F. (2018). A data quality framework, method and tools for managing data quality in a health care setting: an action case study. In M. Bohanec, M. Žnidaršič, B. M. Boshkoska, & F. Adam (Eds.), Proceedings of the IFIP DSS 2018: 19th Open Conference of the IFIP WG 8.3 on Decision Support Systems (pp. 144-154). (Journal of Decision Systems; Vol. 27, No. S1). Abingdon UK: Taylor & Francis. https://doi.org/10.1080/12460125.2018.1460161
    Bai, Lu ; Meredith, Rob ; Burstein, Frada. / A data quality framework, method and tools for managing data quality in a health care setting : an action case study. Proceedings of the IFIP DSS 2018: 19th Open Conference of the IFIP WG 8.3 on Decision Support Systems. editor / Marko Bohanec ; Martin Žnidaršič ; Biljana Mileva Boshkoska ; Frédéric Adam. Abingdon UK : Taylor & Francis, 2018. pp. 144-154 (Journal of Decision Systems; S1).
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    title = "A data quality framework, method and tools for managing data quality in a health care setting: an action case study",
    abstract = "The effectiveness, efficiency and reliability of health services depends on the quality of data in health information systems used by health care providers, managers and decision-makers. The aim of this research-in-progress paper is to propose a data quality framework, method and set of tools to help an information management team at a health care institution to monitor data quality as part of their business intelligence process. The proposed tool has the capacity to capture and visualise different stakeholder perceptions of data quality depending on the user role and the task they are responsible for. This study uses an action case method to develop a prototype of the tool and provide an illustration of its implementation and usage by multiple stakeholders.",
    keywords = "action case, business intelligence, Data quality, health care",
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    Bai, L, Meredith, R & Burstein, F 2018, A data quality framework, method and tools for managing data quality in a health care setting: an action case study. in M Bohanec, M Žnidaršič, BM Boshkoska & F Adam (eds), Proceedings of the IFIP DSS 2018: 19th Open Conference of the IFIP WG 8.3 on Decision Support Systems. Journal of Decision Systems, no. S1, vol. 27, Taylor & Francis, Abingdon UK, pp. 144-154, IFIP International Conference on Decision Support Systems 2018, Ljubljana, Slovenia, 13/06/18. https://doi.org/10.1080/12460125.2018.1460161

    A data quality framework, method and tools for managing data quality in a health care setting : an action case study. / Bai, Lu; Meredith, Rob; Burstein, Frada.

    Proceedings of the IFIP DSS 2018: 19th Open Conference of the IFIP WG 8.3 on Decision Support Systems. ed. / Marko Bohanec; Martin Žnidaršič; Biljana Mileva Boshkoska; Frédéric Adam. Abingdon UK : Taylor & Francis, 2018. p. 144-154 (Journal of Decision Systems; Vol. 27, No. S1).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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    Bai L, Meredith R, Burstein F. A data quality framework, method and tools for managing data quality in a health care setting: an action case study. In Bohanec M, Žnidaršič M, Boshkoska BM, Adam F, editors, Proceedings of the IFIP DSS 2018: 19th Open Conference of the IFIP WG 8.3 on Decision Support Systems. Abingdon UK: Taylor & Francis. 2018. p. 144-154. (Journal of Decision Systems; S1). https://doi.org/10.1080/12460125.2018.1460161