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Critical Success Factors of Business Intelligence Implementation in Thai Hospitals

Critical Success Factors of Business Intelligence Implementation in Thai Hospitals

Suwat Janyapoon, Jirapan Liangrokapart, Albert Tan
Copyright: © 2021 |Volume: 16 |Issue: 4 |Pages: 21
ISSN: 1555-3396|EISSN: 1555-340X|EISBN13: 9781799859819|DOI: 10.4018/IJHISI.20211001.oa19
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MLA

Janyapoon, Suwat, et al. "Critical Success Factors of Business Intelligence Implementation in Thai Hospitals." IJHISI vol.16, no.4 2021: pp.1-21. http://doi.org/10.4018/IJHISI.20211001.oa19

APA

Janyapoon, S., Liangrokapart, J., & Tan, A. (2021). Critical Success Factors of Business Intelligence Implementation in Thai Hospitals. International Journal of Healthcare Information Systems and Informatics (IJHISI), 16(4), 1-21. http://doi.org/10.4018/IJHISI.20211001.oa19

Chicago

Janyapoon, Suwat, Jirapan Liangrokapart, and Albert Tan. "Critical Success Factors of Business Intelligence Implementation in Thai Hospitals," International Journal of Healthcare Information Systems and Informatics (IJHISI) 16, no.4: 1-21. http://doi.org/10.4018/IJHISI.20211001.oa19

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Abstract

Business intelligence (BI) has become a popular among management executives of different industries. Many publications have mentioned Big Data and how to use data intelligently. However, little is known about how to successfully implement BI in the healthcare industry. The unique characteristic of this business, which focuses only on quality of care and patient safety, has a big impact on decision-making. This research is based on a literature review and empirical evidence collected from interviews with professionals involved in the healthcare industry. Twenty-four hospital executives and Information Technology staff who have direct or indirect experience with BI were interviewed. It investigates critical success factors for BI implementation in hospitals and provides insight into the healthcare industry in Thailand. The concept of grounded theory was applied for content analysis. Insights from this research contribute to academia and the healthcare industry by providing first-time evidence of specific factors for BI implementation and guidelines in hospitals.