Final research MIS 6110

Abstract

Big data has become a critical element of business operations with many organizations and enterprises collecting and analyzing such for effective decision-making. When analyzed, big data helps to identify patterns, trends, and associations which are used to project future events based on the current events. Today, big data has been adopted in varied industries, including the healthcare field. This paper focuses on the different utilizations of big data in the healthcare industry and how this aid in effective decision making. The paper focuses on the different sources of information and data within the healthcare industry, how this data is analyzed, and how this aid in predicting future events. Largely, the paper focuses on how big data has been utilized to enhance the quality of service delivery in the healthcare industry. The paper also focuses on some of the limitations associated with the use of big data in the industry. The conclusion weighs on the need for big data and the shortcoming it brings to the healthcare industry to support its adoption.

• Introduction
• Application of Big Data in Healthcare
• Conclusion

Thesis statement: This paper discusses the application of big data in the healthcare industry focusing on the sources of such data, how it has been adopted, and potential shortcoming associated with the technology.

• Background Information on Big data in the healthcare industry.
• Uses of Big Data in the Healthcare Industry.
• Shortcomings with Big Data in the Healthcare Industry

i.Sources of big data in the healthcare industry

ii.How big data is analyzed

iii.Patterns and trends from big data analysis in the healthcare industry.

i.Smooth hospital administration.

ii.Predicting future events and needs.

iii.Quality of care improvement.

i.Confidentiality concerns.

ii.High cost making it hard for smaller institutions to adopt its use.

iii.Big data can be misleading.

Despite the noted shortcomings associated with the application of big data in the healthcare industry, its adoption has enhanced the quality of services offered. It has also made it easy to administer healthcare organizations while at the same time, ensuring that patients are monitored effectively. As such, bid data presents huge benefits to the healthcare industry and should be encouraged. Confidentiality concerns evident should be addressed progressively as they emerge.

References

Bora, D. J. (2019). Big data analytics in healthcare: A critical analysis. Big Data Analytics for Intelligent Healthcare Management, 43-57. doi:10.1016/b978-0-12-818146-1.00003-9

Clarke, R. (2015). Big data, big risks. Information Systems Journal, 26(1), 77-90. doi:10.1111/.12088

Hoque, M. R., & Bao, Y. (2016). Application of big data in healthcare. Big Data, 1189-1208. doi:10.4018/978-1-4666-9840-6.ch053

Natarajan, P. (2017). Healthcare and the big data V’s. Demystifying Big Data and Machine Learning for Healthcare, 11-30. doi:10.1201/9781315389325-2

Rialti, R., & Marzi, G. (2019). Ambidextrous organizations in the big data era: The role of information systems. Springer Nature.