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Perspective Approach Towards Business Intelligence Framework in Healthcare

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Progress in Advanced Computing and Intelligent Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 564))

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Abstract

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 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.

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References

  1. 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)

    Google Scholar 

  2. Doyle, M.: Getting the best business intelligence solution for healthcare. Whitepaper, Healthcatalyst (2013)

    Google Scholar 

  3. Houghton, J.: Information technology and the revolution in healthcare. In: Equity, Sustainability and Industry Development Working Paper Series (2002)

    Google Scholar 

  4. Olszak, C.M., Ziemba, E.: Approach to building and implementing business intelligence systems. Interdiscip. J. Inf. Knowl. Manage. 1(2), 135–148 (2007)

    Google Scholar 

  5. Briggs, L.L.: https://tdwi.org/articles/2013/06/25/Healthcare-BI-Challenges-Opportunities.aspx?share. Accessed 22 Nov 2015

  6. Ashrafi, N., Kelleher, L., Kuilboer, J.-P.: The impact of business intelligence on healthcare delivery in the USA. Interdiscip. J. Inf. Knowl. Manage. 9, 117–130 (2014)

    Google Scholar 

  7. Kolowitz, B.J., Shresth, R.B.: Enabling business intelligence, knowledge management and clinical workflow with single view. Issues Inf. Syst. 12(1), 70–77 (2011)

    Google Scholar 

  8. Wixom, B., Watson, H.: The BI-based organization. Int. J. Bus. Intell. Res. 1(1), 13–28 (2010)

    Article  Google Scholar 

  9. Olszak, C.M., Batko, K.: Business intelligence systems-new chances and possibilities for healthcare organizations. Bus. Inform. J. 3(25), 123–138 (2012)

    Google Scholar 

  10. Koh, H.C., Tan, G.: Data mining applications in healthcare. J. Healthcare Inf. Manage. 19(2), 64–72 (2011)

    Google Scholar 

  11. Mettler, T., Vimarlund, V.: Understanding business intelligence in the context of healthcare. Health Inform. J. 15(3), 254 (2009)

    Article  Google Scholar 

  12. Magda, I., Szczygielski, K.: An Assessment of Possible Improvements to the Functioning of the Polish Healthcare System (2012)

    Google Scholar 

  13. Negash, S.: Business intelligence. Commun. Assoc. Inf. Syst. 13(1), 15 (2004) (ebook)

    Google Scholar 

  14. Olszak, C.M., Batko, K.: The use of business intelligence systems in healthcare organisations in Poland. In: Proceedings of the Federated Conference on Computer Science and Information Systems, pp. 969–976 (2012)

    Google Scholar 

  15. https://www.klipfolio.com/resources/articles/what-is-cloud-business-intelligence. Accessed 17 Apr 16

  16. https://www.microstrategy.com/Strategy/media/downloads/solutions/MicroStrategy-Mobile-Healthcare-Providers-Brochure.pdf. Accessed 17 Apr 16

  17. Watson, H.J.: BI-based organizations. Bus. Intell. J. 15(2) (2010)

    Google Scholar 

  18. 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 Apr 16

  19. Bogdan, A., Sorina, P.: Business intelligence. A presentation of the current lead solutions and a comparative analysis of the main providers. Database Syst. J. V(2) (2014)

    Google Scholar 

  20. Alexandra, R.: Comparative analysis of the main business intelligence solutions. Informatica Economică 17(2) (2013)

    Google Scholar 

  21. http://www.marketsandmarkets.com/Market-Reports/healthcare-business-intelligence-market-252368925.html. Accessed 17 Apr 16

  22. Leonardi, T.: Business Intelligence and Healthcare. The Cornerstone of Any Successful Healthcare Organization Will Be “Healthcare Business Intelligence (2008)

    Google Scholar 

  23. Microsoft, Knowledge Driven Health. Think Bigger about Business Intelligence—Create an Informed Healthcare (2012)

    Google Scholar 

  24. Lahrmann, G., Marx, F., Winter, R., Wortmann, F.: Business intelligence maturity: development and evaluation of a theoretical model. In: 44th Hawaii International Conference on System Sciences, Kauai, Hawaii (2011)

    Google Scholar 

  25. Brooks, G.P., El-Gayar, O., Sarnikar, S.: Towards a business intelligence maturity model for healthcare. In: 46th Hawaii International Conference on System Sciences, Hawaii (2013)

    Google Scholar 

  26. Glancy, F.H., Yadav, S.B.: Business intelligence conceptual model. Int. J. Bus. Intell. Res. 2(2), 48–66 (2011)

    Article  Google Scholar 

  27. Gaddum, A.: Business Intelligence (BI) for Healthcare Organizations (2012)

    Google Scholar 

  28. Tavallae, R., Shokohyar, S.: Assessing the evaluation models of business intelligence maturity and presenting an optimized model. Int. J. Manage. Account. Econ. 2(9) (2015). ISSN 2383-2126

    Google Scholar 

  29. Tan, C., Sim, Y.W., Yeoh, W.: A maturity model of enterprise business intelligence. Commun. IBIMA Article ID 417812 (2011)

    Google Scholar 

  30. Kao, H.-Y., et al.: Implementing BI to assist decision making in healthcare: a case of Regional Taiwanese Hospital. In: International Conference of European Federation for Medical Informatics (2012)

    Google Scholar 

  31. Keeling, T.L.: Clinical research: using business intelligence framework. J. Issues Inf. Syst. XI(1), 372–376 (2010)

    Google Scholar 

  32. Diwani, S., Sam, A.: Framework for data mining in healthcare information system in developing countries: a case of Tazania. Int. J. Comput. Eng. Res. 03(10) (2013)

    Google Scholar 

  33. Kayange, D.S.: Overview applications of data mining in health care: the case study of Arusha region. Int. J. Comput. Eng. Res. 03(8) (2013)

    Google Scholar 

  34. Katoua, H.S.: The benefits of using data mining approach in business intelligence for healthcare organizations. Egypt. Comput. Sci. J. 36(2) (2012)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Amity Institute of Information Technology, Amity University, Uttar Pradesh, Sec-125, Noida, UP, India

    Mittal Kavita

  2. Amity School of Engineering and Technology, Amity University, Uttar Pradesh, Sec-125, Noida, UP, India

    S. K. Dubey

  3. Computer Science & Engineering Division, Software Development Centre, Northern India Textile Research Association, Ghaziabad, India

    B. K. Sharma

Authors
  1. Mittal Kavita
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  2. S. K. Dubey
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  3. B. K. Sharma
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Corresponding author

Correspondence to Mittal Kavita .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science, Bialystok University of Technology, Białystok, Poland

    Khalid Saeed

  2. Dept. of Computer Science & Engg., University of Calcutta Dept. of Computer Science & Engg., Kolkata, West Bengal, India

    Nabendu Chaki

  3. C. V. Raman College of Engineering, Bhubaneswar, Odisha, India

    Bibudhendu Pati

  4. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Sambit Bakshi

  5. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Durga Prasad Mohapatra

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Kavita, M., Dubey, S.K., Sharma, B.K. (2018). Perspective Approach Towards Business Intelligence Framework in Healthcare. In: Saeed, K., Chaki, N., Pati, B., Bakshi, S., Mohapatra, D. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 564. Springer, Singapore. https://doi.org/10.1007/978-981-10-6875-1_40

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  • DOI: https://doi.org/10.1007/978-981-10-6875-1_40

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6874-4

  • Online ISBN: 978-981-10-6875-1

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