Analytics-Based Transformation in Healthcare Practices

Author

Subhaah Chandrakumara Roy, Ramanand Kumar, Dr.Himani Tiwari, Dr. Gaurav Kumar Sharma, Dr. Kushal K. Chandrul, Dr. Hariom Sharma


Abstract

Healthcare industry is one of the most data-intensive industry. Based on data, professionals and management can make better decision, leading to better healthcare for patients. With arrival of big data, now healthcare industry can greatly benefit from it. Data analytics enabled transformation design had been developed, which shows the causal associations between big data analytics (BDA) features and benefit for organization. In this paper, this model was tested with healthcare settings. By analyzing BDA implementation instances, we sought understanding how BDA abilities transform organizational methods, generating potential benefits. Along with conceptually defining various BDA features, the article offers a strategic view of BDA. Three significant path-to-value chains have been identified for healthcare organizations in the article, which offers useful insights for managers.


Keywords

Analytics, Healthcare, Developed country, Big data, Transformation, BDA



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References


1.        Ambigavathi, M., & Sridharan, D. (2018). Big data analytics in healthcare. Tenth International Conference on Advanced Computing (ICoAC) (pp. 269-276). IEEE.

2.        Choi, T. M., Wallace, S. W., & Wang, Y. (2018). Big data analytics in operations management. Production and Operations Management, 27(10), 1868-1883. doi: https://doi.org/10.1111/poms.12838

3.        Haque, S. M., & Akter, J. S. (2022). Big Data Analytics & Artificial Intelligence In Management Of Healthcare: Impacts & Current State. Management of Sustainable Development, 14(1), 36-42. doi: https://doi.org/10.54989/msd-2022-0006

4.        Hermon, R., & Williams, P. A. (2014). Big data in healthcare: What is it used for?. Australian eHealth Informatics and Security Conference. Perth: Edith Cowan University.

5.        Jahan, S. A., & Sazu, M. H. (2022). Role of IoTs and Analytics in Efficient Sustainable Manufacturing of Consumer Electronics. International Journal of Computing Sciences Research, 6. doi:10.25147/ijcsr.2017.001.1.105

6.        Janssen, M., Voort, H., & Wahyudi, A. (2017). Factors influencing big data decision-making quality. Journal of Business Research, 70(1). doi: https://doi.org/10.1016/j.jbusres.2016.08.007

7.        Jiang, F., Zhi, H., & Wang, Y. (2017). Artificial intelligence in healthcare: past, present and future. Stroke Vascular Neurology, 2(4), 230- 243. doi: https://doi.org/10.1136/svn-2017-000101

8.        Khanra, S., Dhir, A., Islam, A. N., & Mäntymäki, M. (2020). Big data analytics in healthcare: a systematic literature review. Enterprise Information Systems, 878-912.

9.        Kumar, Y., Sood, K., Kaul, S., & Vasuja, R. (2020). Big data analytics and its benefits in healthcare. Springer, 3-21.

10.     LaValle, S., Lesser, E., Shockley, R., Hopkins, M. S., & Kruschwitz, N. (2011). Big data, analytics and the path from insights to value. MIT sloan management review, 52(2), 21-32. Retrieved from https://sloanreview.mit.edu/article/big-data-analytics-and-the-path-from-insights-to- value/

11.     Mikalef, P., Pappas, I. O., Krogstie, J., & Giannakos, M. (2018). Big data analytics capabilities: a systematic literature review and research agenda. Information Systems and e-Business Management, 547-578. doi: https://doi.org/10.1007/s10257-017-0362-y

12.     Sazu, M. H., & Akter Jahan, S. (2022). Impact of big data analytics on government organizations. Management & Datascience, 6(2). doi: https://doi.org/10.36863/mds.a.20157

13.     Sazu, M. H., & Jahan, S. A. (2022). Impact of big data analytics on business performance. International Research Journal of Modernization in Engineering Technology and Science, 04(03), 367-378.

14.     Sazu, M. H., & Jahan, S. A. (2022). Impact of big data analytics on distributed manufacturing: does big data help? Journal of process management and new technologies, 10(1-2), 70-81. doi: https://doi.org/10.5937/jpmnt10-37793

15.     Shamim, S., Zeng, S., Shariq, S. M., & Khan, Z. (2019). Role of big data management in enhancing big data decision-making capability and quality among Chinese firms: A dynamic capabilities view. Information & Management, 56(6). doi: https://doi.org/10.1016/j.im.2018.12.003

16.     Sun, J., & Reddy, C. K. (2013). Big data analytics for healthcare. 19th ACM SIGKDD international conference on Knowledge discovery and data mining, (pp. 1525-1525).

17.     Wang, H., Xu, Z., Fujita, H., & Liu, S. (2016). Towards felicitous decision making: An overview on challenges and trends of Big Data. Information Sciences, 367–368, 747-765. doi: https://doi.org/10.1016/j.ins.2016.07.007

 

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