creators_name: Bhattacharya, I creators_name: Ramachandran, A creators_name: Jha, BK creators_id: indrajitbhat@gmail.com editors_name: Kakkilaya, Srinivas editors_id: Kakkilaya BS type: journale datestamp: 2013-05-04 23:04:22 lastmod: 2013-05-04 23:04:22 metadata_visibility: show title: Healthcare Data Analytics on the Cloud ispublished: pub subjects: JOURNALS subjects: OJHAS full_text_status: public keywords: Business Analytics; Business Intelligence (BI); Cloud computing; healthcare industry; Software as a service (SaaS). abstract: Meaningful analysis of voluminous health information has always been a challenge in most healthcare organizations. Accurate and timely information required by the management to lead a healthcare organization through the challenges found in the industry can be obtained using business intelligence (BI) or business analytics tools. However, these require large capital investments to implement and support the large volumes of data that needs to be analyzed to identify trends. They also require enormous processing power which places pressure on the business resources in addition to the dynamic changes in the digital technology. This paper evaluates the various nuances of business analytics of healthcare hosted on the cloud computing environment. The paper explores BI being offered as Software as a Service (SaaS) solution towards offering meaningful use of information for improving functions in healthcare enterprise. It also attempts to identify the challenges that healthcare enterprises face when making use of a BI SaaS solution. date: 2012-04-15 date_type: published publication: Online Journal of Health and Allied Sciences volume: 11 number: 1(1) publisher: BS Kakkilaya refereed: TRUE referencetext: 1. Detmer DE. A new health system and its quality agenda. Front Health Serv Manage. 2001;18(1):3-30. 2. Williams S, Williams N. The Profit Impact of Business Intelligence. Morgan Kaufmann Publishers, Massachusetts. 2007. 3. Bell R, Todd G. Information Management Services: Overview of Services. Accenture, s.l. April 2007. 4. Maini, N. Leveraging Siebel Analytics to Enhance Sales in Pharmaceutical Industry. Accenture, s.l. 2010. 5. Jansen W et al. Guidelines on Security and Privacy in Public Cloud Computing. NIST (National Institute of Standards and Technology) U.S Department of Commerce. 2011. 6. Bateman A, Wood M. Cloud computing. Bioinformatics. 2009;25:1475. 7. Smith JE, Nair R. Virtual machines: versatile platforms for systems and Processes. Morgan Kaufmann Publishers. Amsterdam, Boston. 2005. 8. Dudley JE, Pouliot Y, Chen R, Morgan AA, Butte AJ. Translational bioinformatics in the cloud: an affordable alternative. Genome Medicine. 2010;2:51. 9. Raths D. Cloud Computing: Public-Sector Opportunities Emerge. 2008. Available at http://www.govtech.com/gt/387269. Accessed on 03 May 2009. 10. Colin W. Business Intelligence in the Cloud: Sorting out the Terminology. Available at http://www.b-eye-network.com/view/8122. Accessed on 03 May 2009. 11. Schadler T. Talking To Your CFO About Cloud Computing. Forrester Research, Inc., USA. 2008. 12. Schadler T. Should Your Email Live In The Cloud? A Comparative Cost Analysis. Forrester Research, Inc., USA. 2009. 13. Self-service, real-time, on-demand ad-hoc analysis and high performance exploration functionality with plug-ability, scalability & security, available in both SaaS and on-premise model. 2010. Available at http://www.ideal-analytics.com Accessed on 2 Jan, 2012. 14. Thompson WJJ, Van der Walt JS. Business intelligence in the cloud. SA Journal of Information Management. 2010;12(1):445 15. Mrdalj S. Would Cloud Computing Revolutionize Teaching Business Intelligence Courses. Issues in Informing Science and Information Technology. 2011;8 citation: Bhattacharya, I and Ramachandran, A and Jha, BK (2012) Healthcare Data Analytics on the Cloud. [Journal (On-line/Unpaginated)] document_url: http://cogprints.org/8864/1/2012-1-1.pdf