Perspective Approach towards Business Intelligence Framework in Healthcare
Cai Long,Researcher, Hong Kong University, Hong Kong
Krishna Hari K Kokula,Secretary General, Association of Scientists, Developers and Faculties, United Kingdom
Sugumaran Rajkumar,Vice President, Techno Forum Group, Bangkok, Kingdom of Thailand
S. PrithivRajan,Global President, Techno Forum Group, Australia
Healthcare is highly complex industry driven by knowledge with rising cost and increasing demands for healthcare quality services. Healthcare providers are forced to focus on care quality while minimizing the cost through better healthcare resource management. However the abundant data from different sources such as clinical processes, business processes, and operational processes, causing remarkable issues and challenges are not resolved, through traditional technologies. Thus the Healthcare providers in effort to improve care quality and reduce cost are turning towards advanced and flexible IT -enabled business strategies. This paper is focused towards designing a Business Intelligence (BI) framework in Healthcare with an aim to overcome the issues and challenges in healthcare. This paper also attempts to illustrate the BI approaches incorporated with data mining techniques appropriate in the healthcare domain to overcome the issues and challenges more efficiently. Here emphasis is given on the main BI healthcare processes, benefits of using BI strategies in terms of efficiency, care quality and patient satisfaction.
Business Intelligence, BI Healthcare processes, BI Solutions, BI adoption, BI framework, Data mining
 Microsoft, Business Intelligence for Healthcare: the New Prescription for Boosting Cost Management, Productivity and Medical Outcomes, an exclusive report from Business Week Research Services, (2009).
 M. Doyle, “Getting the best business intelligence solution for Healthcare. Whitepaper, Health catalyst, (2013).
 J. Houghton, “Information technology and the revolution in healthcare”, [in:] Equity, Sustainability and Industry Development Working Paper Series, (2002).
 C.M. Olszak, and E. Ziemba, “Approach to building and implementing business intelligence systems”, Interdisciplinary Journal of Information, Knowledge, and Management, Vol. 1, No. 2, pp.135-148, (2007).
 https://tdwi.org/articles/2013/06/25/Healthcare-BI-Challenges-Opportunities.aspx?share (accessed: 22.11.2015 author: Linda L. Briggs).
 N. Ashrafi, L. Kelleher and J.P. Kuilboer, “The impact of business intelligence on healthcare delivery in the USA”, Interdisciplinary Journal of Information, Knowledge, and Management, Vol.9, pp. 117-130, (2014).
 B.J. Kolowitz and R.B. Shresth, “Enabling Business Intelligence, knowledge management and clinical workflow with single view”, Issues in Information Systems, Vol. 12, No. 1, pp. 70-77, (2011).
 B. Wixom and H. Watson, “The BI-based organization”, International Journal of Business Intelligence Research, Vol. 1, No. 1, pp. 13-28, (2010).
 C.M. Olszak and K. Batko, “Business Intelligence Systems-New Chances and Possibilities for Healthcare Organizations”, Business Informatics Journal, Vol. 3, No. 25, pp. 123-138, (2012).
 H.C. Koh and G. Tan, “Data mining applications in healthcare”, Journal of Healthcare Information Management, Vol. 19, No. 2, pp. 64-72, (2011).
 T. Mettler and V. Vimarlund, “Understanding business intelligence in the context of healthcare”, Health Informatics Journal, Vol. 15, No. 3, pp. 254, (2009).
 I. Magda and K. Szczygielski, “An Assessment of Possible Improvements to the Functioning of the Polish Healthcare System”, (2012).
 S. Negash, “Business Intelligence”, Communications of the Association for Information Systems, (eBook), Vol. 13, No. 1, pp. 15, (2004).
 C.M. Olszak and K. Batko, “The use of Business Intelligence Systems in Healthcare Organisations in Poland”, Proceedings of the Federated Conference on Computer Science and Information Systems, pp. 969-976, (2012).
 https://www.klipfolio.com/resources/articles/what-is-cloud-business-intelligence. (accessed:17.4.16)
 https://www.microstrategy.com/Strategy/media/downloads/solutions/MicroStrategy-Mobile-Healthcare-Providers-Brochure.pdf (accessed:17.4.16)
 H.J. Watson, “BI-based organizations”, Business Intelligence Journal, Vol. 15, No. 2, (2010).
 “Power to the patient: How mobile technology is transforming healthcare”, a report from The Economist Intelligence Unit, SAP, (2014).
 http://www.economistinsights.com/sites/default/files/HowMobileisTransformingHealthcare.pdf (accessed:17.4.16).
 A. Bogdan and P. Sorina, “Business Intelligence. A Presentation of the Current Lead Solutions and a Comparative Analysis of the Main Providers”, Database Systems Journal, Vol. 5, No. 2, (2014).
 R. Alexandra, “Comparative Analysis of the Main Business Intelligence Solutions”, Informatica Economica, Vol. 17, No. 2, (2013).
 http://www.marketsandmarkets.com/Market-Reports/healthcare-business-intelligence-market-.html (accessed:17.4.16)
 T. Leonardi, “Business Intelligence and Healthcare”, The Cornerstone of Any Successful Healthcare Organization Will Be, Healthcare Business Intelligence, (2008).
 Microsoft, Knowledge Driven Health. Think Bigger about Business Intelligence - Create An Informed Healthcare, (2012).
 Lahrmann, F. Marx, R. Winter, and F. Wortmann, "Business intelligence maturity: Development and evaluation of a theoretical model", in 44th Hawaii International Conference on System Sciences, (2011), Kauai, Hawaii.
 G.P. Brooks, O. El-Gayar, S. Sarnikar, “Towards a Business Intelligence Maturity Model for Healthcare", in 46th Hawaii International Conference on System Sciences, (2013), Hawaii.
 F.H. Glancy and S.B. Yadav, “Business intelligence conceptual model”, International Journal of Business Intelligence Research, Vol. 2, No. 2, pp. 48-66, (2011).
 A. Gaddum, “Business Intelligence (BI)for Healthcare Organizations”, (2012),
 R. Tavallae and S. Shokohyar, “Assessing the Evaluation Models of Business Intelligence Maturity and Presenting an Optimized Model”, International Journal of Management, Accounting and Economics, Vol. 2, No. 9, (2015).
 C. Tan, Y.W. Sim and W. Yeoh, “A Maturity Model of Enterprise Business Intelligence”, IBIMA Publishing Communications of the IBIMA, Article ID 417812, (2011).
 H.Y. Kao. L.J. Chen, W.H. Wua, and K.T. Lee, “Implementing BI to assist Decision Making in Healthcare: A case of Regional Taiwanese Hospital”, International Conference of European Federation for Medical Informatics, (2012).
 T.L. Keeling, “Clinical Research: Using Business Intelligence Framework”, Journal of Issues in Information Systems, Vol. 11, No. 1, pp. 372-376, (2010).
 S. Diwani and A. Sam, “Framework for Data Mining in Healthcare Information System in Developing Countries: A Case of Tanzania”, International Journal of Computational Engineering Research, Vol. 03, No. 10, (2013).
 D.S. Kayange, “Overview Applications of Data Mining In Health Care: The Case Study of Arusha Region”, International Journal of Computational Engineering Research, Vol. 03, No. 8, (2013).
 H.S. Katoua, “The Benefits of Using Data mining Approach in Business Intelligence for Healthcare Organizations”, Egyptian Computer Science Journal, Vol. 36, No. 2, (2012).