Business intelligence: assimilation and outcome measures for the health sector

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dc.contributor.authorLoewen, Elizabeth (Liz)
dc.contributor.supervisorRoudsari, Abdul V.
dc.date.accessioned2017-12-18T18:12:15Z
dc.date.available2017-12-18T18:12:15Z
dc.date.copyright2017en_US
dc.date.issued2017-12-18
dc.degree.departmentSchool of Health Information Scienceen_US
dc.degree.levelDoctor of Philosophy Ph.D.en_US
dc.description.abstractIncreased adoption of health information systems in clinical practice has set a foundation for use of this data for Business Intelligence (BI). BI is the use of specialized tools to collect, analyze, and present organizational data to operational leaders in user-friendly formats to support organizational objectives. This is a routine component of management practice in sectors such as finance and manufacturing but has not yet reached its full potential in the health sector where limited availability of BI systems and factors such as data quality, complexity, and access to data have been identified as barriers. Correspondingly, there are no established conceptual models for measuring successful adoption of BI in the health sector. This dissertation study proposes a Business Intelligence Benefits Model for Health derived from frameworks used in other sectors and establishes health sector measures for two foundational constructs, BI Assimilation and Health System Organizational Performance. Through an online Delphi consensus process involving 25 Canadian health leadership panelists from four provinces, the study establishes a total of 30 concept measures for these constructs. Only seven (23.3%) of the concepts identified by the panelists in the study are reflected in an established non-health sector framework, the Business Value of BI Model, validating the need for sector specific measures. The study also compares priorities between leadership groups: top management team versus operational managers; and, leaders with a nursing related portfolio versus those without. The comparisons demonstrate variations among these groups but consistency in requirements overall. Establishing these BI constructs for healthcare is a precursor to measuring BI success and informs priorities and approaches for BI implementation as well as further instrument development.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.bibliographicCitationLoewen, L., & Roudsari, A. (2017). Evidence for Business Intelligence in Health Care: A Literature Review. In R. Randell, R. Cornet, C. McCowan, N. Peek, & P. J. Scott (Eds.), Informatics for Health: Connected citizen-led wellness and population health (Vol. 235, pp. 579-583). Amsterdam: IOS Press.en_US
dc.identifier.urihttp://hdl.handle.net/1828/8882
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjecthealth careen_US
dc.subjectbusiness intelligenceen_US
dc.subjectnursingen_US
dc.subjectperformance outcomesen_US
dc.subjectframeworken_US
dc.titleBusiness intelligence: assimilation and outcome measures for the health sectoren_US
dc.typeThesisen_US

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