Healthcare Business Intelligence: A Case Study of Universiti Utara Malaysia Health Center (PKU)

Organizations, private or public, feel increasing pressures, forcing them to respond quickly to changing conditions and be innovative in the way they operate. Such activities require organizations to be agile and make frequent and strategic, tactical, and operational decisions. Making such decision...

Full description

Saved in:
Bibliographic Details
Main Author: Ishola, Muraina Dada
Format: Thesis
Language:eng
eng
Published: 2011
Subjects:
Online Access:https://etd.uum.edu.my/2881/1/Muraina_Dada_Ishola.pdf
https://etd.uum.edu.my/2881/2/1.Muraina_Dada_Ishola.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uum-etd.2881
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Ahmad, Azizah
topic QA76 Computer software
spellingShingle QA76 Computer software
Ishola, Muraina Dada
Healthcare Business Intelligence: A Case Study of Universiti Utara Malaysia Health Center (PKU)
description Organizations, private or public, feel increasing pressures, forcing them to respond quickly to changing conditions and be innovative in the way they operate. Such activities require organizations to be agile and make frequent and strategic, tactical, and operational decisions. Making such decision may require considerable amounts of timely and relevant data, information, and knowledge. Every semester that UUM admits new students, they do subject them to medical screening which sometimes includes the staffs and returning students. However, the results of the medical test from the laboratory technologists and the doctors, such as patient diagnosis, treatment and medical prescription are currently kept in the PKU data repository for record purposes without being further explored for their managerial activities. Therefore, this research applied Business Intelligence (BI) method for exploring the PKU database repository. The data warehouse was built for the activities in PKU and a prototype was developed at the end, while the system is evaluated by the prospective users of the system at PKU. The result of this research (PKUBI) helps the PKU management by simplifying the technique needed for managerial decision making and forecasting future activities that would help the PKU. Also, the PKUBI is also useful to know the medical statistics of the patients in UUM and the drugs that need to be frequently ordered for.
format Thesis
qualification_name masters
qualification_level Master's degree
author Ishola, Muraina Dada
author_facet Ishola, Muraina Dada
author_sort Ishola, Muraina Dada
title Healthcare Business Intelligence: A Case Study of Universiti Utara Malaysia Health Center (PKU)
title_short Healthcare Business Intelligence: A Case Study of Universiti Utara Malaysia Health Center (PKU)
title_full Healthcare Business Intelligence: A Case Study of Universiti Utara Malaysia Health Center (PKU)
title_fullStr Healthcare Business Intelligence: A Case Study of Universiti Utara Malaysia Health Center (PKU)
title_full_unstemmed Healthcare Business Intelligence: A Case Study of Universiti Utara Malaysia Health Center (PKU)
title_sort healthcare business intelligence: a case study of universiti utara malaysia health center (pku)
granting_institution Universiti Utara Malaysia
granting_department Awang Had Salleh Graduate School of Arts & Sciences
publishDate 2011
url https://etd.uum.edu.my/2881/1/Muraina_Dada_Ishola.pdf
https://etd.uum.edu.my/2881/2/1.Muraina_Dada_Ishola.pdf
_version_ 1747827451750252544
spelling my-uum-etd.28812016-04-27T04:22:11Z Healthcare Business Intelligence: A Case Study of Universiti Utara Malaysia Health Center (PKU) 2011 Ishola, Muraina Dada Ahmad, Azizah Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Sciences QA76 Computer software Organizations, private or public, feel increasing pressures, forcing them to respond quickly to changing conditions and be innovative in the way they operate. Such activities require organizations to be agile and make frequent and strategic, tactical, and operational decisions. Making such decision may require considerable amounts of timely and relevant data, information, and knowledge. Every semester that UUM admits new students, they do subject them to medical screening which sometimes includes the staffs and returning students. However, the results of the medical test from the laboratory technologists and the doctors, such as patient diagnosis, treatment and medical prescription are currently kept in the PKU data repository for record purposes without being further explored for their managerial activities. Therefore, this research applied Business Intelligence (BI) method for exploring the PKU database repository. The data warehouse was built for the activities in PKU and a prototype was developed at the end, while the system is evaluated by the prospective users of the system at PKU. The result of this research (PKUBI) helps the PKU management by simplifying the technique needed for managerial decision making and forecasting future activities that would help the PKU. Also, the PKUBI is also useful to know the medical statistics of the patients in UUM and the drugs that need to be frequently ordered for. 2011 Thesis https://etd.uum.edu.my/2881/ https://etd.uum.edu.my/2881/1/Muraina_Dada_Ishola.pdf application/pdf eng validuser https://etd.uum.edu.my/2881/2/1.Muraina_Dada_Ishola.pdf application/pdf eng public masters masters Universiti Utara Malaysia Adelman, S., & Larissa, T. M. (2000). Data Warehouse Project Management. Boston, M. A: Addison-Wesley. Barclay, K., & Savage, J. (2004). Object-Oriented Design with UML and Java. 8th Edition, USA. Addison-Wesley. Berndt, D. J., Fisher, J. W., Hevner, A. R., & Studnicki, J. (2001). Healthcare Data Warehousing and Quality Assurance. Journal of Computer, 34, 56-65. Berndt, D. J., Hevner, A. R., & Studnicki, J. (1998). CATCH/IT: A Data Warehouse to Support Comprehensive Assessment for Tracking Community Health. Annual Fall Symposium. (URL:www.ncbi.nlm.nih.gov). Berndt, D. J., Hevner, A. R., & Studnicki, J. (2000). Hospital Discharge Transactions: A Data Warehouse Component. Proceedings of the Hawaii International Conference on System Sciences. 28-45. Celine, V. D. (2008). Approaches To Analyse Corporate Tags For Business Intelligence Purposes. ACM Explore, 23, 1 – 6. Chaudhuri, S., & Dayal, U. (1997). Data Warehousing and OLAP for Decision Support. ACM SIGMOD International Conference on Management of Data. Tuscon, Arizona. 123 – 135. Chaudhuri, S., Dayal, U., & Ganti, V. (2001). Database Technology for Decision Support System. IEEE Explores, 34(12), 48 – 55. Christos, V., Elia, E., & Penagiotis, C. (2006). An OLAP-Enabled Software Environment for Modeling Patient Flow. 3rd International IEEE Conference Intelligent Systems. 261 – 266. Codd, E. F., Codd, S. B., & Salley, C. T. (1993). Providing OLAP to User-Analysts: An IT Mandate. California, Codd & Associates, Sunnyvale. Demarco, T. (2001). Slack: Getting Past Burnout, Busywork, and the Myth of Total Efficiency. New York: Broadway Books. Diana, G., Maribel, Y. S., & Jorge, C. (2010). Analysis of Quality Of Life after an Endoscopic Thoracic Sympathectomy: A Business Intelligence Approach. Second International Conference on Advances in Databases, Knowledge, and Data Applications. 1 – 6. Don, T. (2008). Business Intelligence for the Healthcare Industry: Actionable Insights for Business Decision Makers. Business Object, SAP & Intel. Ebidia, A., Mulder, C., Tripp, B., & Morgan, M. W. (1999). Getting Data Out Of the Electronic Patient Record: Critical Steps in Building a Data Warehouse For Decision Support. Boston, M. A: Addison-Wesley. Eckerson, W. (2003). Smart Companies in the 21st Century: The Secrets of Creating Successful Business Intelligent Solutions. The Data Warehousing Institute: Seattle, WA. Efraim, T., Ramesh, S., Jay, E. A., & David, K. (2008). Business Intelligence: A Managerial Approach. 1st Edition, Upper Saddle River New Jersey: Pearson Prentice Hall. Ewen, E. F., Medsker, C. E., & Dusterhoft, L. E. (1998). Data Warehousing in an Integrated Health System, Building the Business Case. International Conference of DOLAP, Washington DC., USA. 58. Hristovski, D., Rogac, M., & Markota, M. (2000). Using Data Warehousing and OLAP in Public Health Care. 3rd Edition, Upper Saddle River New Jersey: Pearson Prentice Hall. Hyperion Solution Coorporation, (2004). Management A Strategic For Performance. Business Intelligence Journal, 2, 23. IBM (2006). Dimensional Modeling: In a Business Intelligence Environment. International Technical Support Organization, Year Report, IBM, 1 – 670. Inmon, W. H. (1996). Building the Data Warehouse. New York: John Wiley & Sons. Inmon, W. H. (2005). Building the Data Warehouse. 3rd Edition, New York: John Wiley & Sons. Inmon, W. H., Claudia, I., & Ryan, S. (2000). Corporate Information Factory. 2nd Edition, New York: John Wiley & Sons. Jim, S., & Achim, P. K. (2008). Seamless User-Interface for Business Intelligence. IEEE International Conference on e-Business Engineering, 5, 728 – 731. John, K. (2007). Cognos 8 Business Intelligence Dashboards. IBM Software Magazine, 1. Kimball, R., & Richard, M. (2000). The Data Warehouse Toolkit: Building the Web-Enabled Data Warehouse. New York: John Wiley & Sons. Larissa, T. M., & Shaku, A. (2003). Business Intelligence Roadmap: The Complete Project Lifecycle for Decision Support Application. Information Technology Series, Pearson Education Inc., USA. Addison-Wesley. Ledbetter, C. S., & Morgan, M. W. (2001). Toward Best Practice: Leveraging the Electronic Patient Record as a Clinical Data Warehouse. Journal of Healthcare Information Management, Vol. 15, 119-131. Lihong, J., Hongming, C., & Boyi, X. (2010). A Domain Ontology Approach in the ETL Process of Data Warehousing. IEEE International Conference on e-Business Engineering, 3, 30 – 35. Lonnqvist, A., & Pirttimaki, V. (2006). The Measurement of Business Intelligence. Information Systems Management Journal, 32-40. Maria, A. M., & Abdel-Badeeh, M. S. (2010). Intelligent Techniques for Business Intelligence in Healthcare. IEEE Explore, 545 – 550. Microsoft, (2009). An Exclusive Report from Business Week Research Services. Microsoft Magazine, 1 – 12. Nelson, J., & Tahir, M. (2001). Homepage Usability 50 Website Deconstructed. New Rider, 69. Pedersen, T. B., & Jensen, C. S. (2001). Multidimensional Database Technology. Journal of Computer, 34, 40-46. Raisinghani, M. (2004). Business Intelligence in the digital economy. Hershey PA: The Idea Group. Rajasekar, S., & Philominathan, P. (2009). Research and Development Management and Stock Diagram: An Exploratory Study. Journal of Technology Management and Innovation, 3, 1-15. Scheese, R. (1998). Data Warehousing As a Healthcare Business Solution. Healthcare Financial Management, 52, 56-59. SQL Server Information. URL: www.sqlserverpedia.com. Retrieved on 19/04/2011. Thompson, O. (2004). Business Intelligence Success, Lessons Learned. Technology Evaluation. China: China Translation and Printing Limited. Uebersax, J. S. (2006). Likert Scales: Dispelling the Confusion. 3rd Edition, New York: John Wiley & Sons. Umeshwar, D., Malu, C., Alkis, S., & Kevin, W. (2009). Data Integration Flows for Business Intelligence. New York: John Wiley & Sons, 1- 11. Vassiliadis, P., & Sellis, T. (1999). A survey of logical models for OLAP databases. ACMSIGMOD Record, 28, 64-69. Watson, H.J., & Wixom, B.H. (2007). The Current State of Business Intelligence. IEEE Explore, 96-99. Williams, URL: www.associatedcontent.com, Retrieved on 06/04/2011. Xuezhong, Z., Baoyan, L., Yinghui, W., Runsun, Z., Ping, L., Shibo, C.,Yufeng, G., Zhuye, G., & Hua, Z. (2008). International Conference on BioMedical Engineering and Informatics, 5, 615 – 620. Yorozu, Y., Hirano, M., Oka, K., & Tagawa, Y. (1987). Electron Spectroscopy Studies On Magneto-Optical Media and Plastic Substrate Interface. IEEE Transl. Journal Japan, 2, 740–741. Zaman, M. (2005). Business Intelligence: Its Ins and Outs. URL: www.technologyevaluationcenters.com/search/ retrieved on 05/03/2003. Zhu, F. (2007). A Framework to Develop a University Information Portal. IEEE Explores, 506-509.