Assignment: Future Research and Conclusion
These tools can provide detailed reporting and identify market trends that allow companies to accelerate new business ideas and gen- erate creative thinking. In addition to using big data analytics to answer knownquestions,managers should encourage users to leverage outputs such as reports, alerting, KPIs, and interactive visualizations, to discover new ideas and market opportunities, and assess the feasibility of ideas (Kwon et al., 2015).
6. Limitation, future research and conclusion
Through analyzing big data cases, our research has provided a better understanding how healthcare organizations can leverage big data ana- lytics as ameans of transforming IT to gain business value. However, like any other study, ours has limitations. The primary limitation of this study is the data source. One challenge in the health care industry is that its IT adoption usually lags behind other industries, which is one of the main reasons that cases are hard to find. Although efforts were made tofind cases fromdifferent sources, themajority of the cases iden- tified for this study came from vendors. There is therefore a potential bias, as vendors usually only publicize their “success” stories. Further
Case Case name Country
1 Wissenschaftliches Institut der AOK (WIdO) Germany 2 Brigham and Women’s Hospital United States 3 The Norwegian Knowledge Centre for the Health Services (NOKC) Norway 4 Memorial Healthcare System United States 5 University of Ontario Institute of Technology Canada 6 Premier healthcare alliance United States 7 Bangkok Hospital Thailand 8 Rizzoli Orthopedic Institute Italy 9 Universitätsklinikum Erlangen Germany 10 Fondazione IRCCS Istituto Nazionale dei Tumori (INT) Italy 11 Fraunhofer FOKUS Germany 12 Leeds Teaching Hospitals UK 13 Beth Israel Deaconess Medical Center United States 14 Atlantic Health System United States 15 Private health institution in Australia Australia 16 University Hospitals Case Medical Center United States
Appendix A. Case List
and better discovery could be done through collecting and analyzing primary data. Given the growing number of healthcare organizations adopting big data analytics, the sample frame for collecting primary data becomes larger. Examining the impact of big data analytics capabil- ities on healthcare organization performance with quantitative analysis method based on primary data could shed different lights.
In addition to requiring empirical analysis of big data analytics en- abled transformation, our study also expose the needs formore scientif- ic and quantitative studies, focusing on some of the business analytics capability elements we identified. This especially applies to analytical and decision support capabilities, which are cited frequently in the big data cases.
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