Towards an implementation framework for business intelligence in healthcare

Neil Foshay*, Craig Kuziemsky

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

59 Citations (Scopus)


As healthcare organizations continue to be asked to do more with less, access to information is essential for sound evidence-based decision making. Business intelligence (BI) systems are designed to deliver decision-support information and have been repeatedly shown to provide value to organizations. Many healthcare organizations have yet to implement BI systems and no existing research provides a healthcare-specific framework to guide implementation. To address this research gap, we employ a case study in a Canadian Health Authority in order to address three questions: (1) what are the most significant adverse impacts to the organization's decision processes and outcomes attributable to a lack of decision-support capabilities? (2) what are the root causes of these impacts, and what workarounds do they necessitate? and (3) in light of the issues identified, what are the key considerations for healthcare organizations in the early stages of BI implementation? Using the concept of co-agency as a guide we identified significant decision-related adverse impacts and their root causes. We found strong management support, the right skill sets and an information-oriented culture to be key implementation considerations. Our major contribution is a framework for defining and prioritizing decision-support information needs in the context of healthcare-specific processes.

Original languageEnglish
Pages (from-to)20-27
Number of pages8
JournalInternational Journal of Information Management
Issue number1
Publication statusPublished - Feb 2014
Externally publishedYes


  • Business intelligence
  • Healthcare
  • Implementation success factors
  • Information quality
  • Organizational issues


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