Challenges in healthcare have continually increased because of the importance of the industry and rising demands from both public and private sector to provide quality healthcare services with reduced costs. Additionally, the high-volume digital data generated at the ever-higher rate in the healthcare industry pose challenges to store and process healthcare data to offer valuable information for improved decision making. The traditional technologies lack scalability, flexibility, and performance to manage big data that is currently being generated by a variety of data sources in various formats in the healthcare industry. However, innovative technologies such as cloud computing and big data analytics enable organizations to make accurate, real-time decisions resulting in better outcomes and to strengthen their market position in today's increasingly competitive business environment. This study was a systematic review of existing research studies on how cloud-based big data analytics compared to traditional systems, enhance decision making, planning, and forecasting in the healthcare industry. The study offers benefits and challenges, findings conclusion, management implications, limitations of the study, and areas for future research.
|Advisor:||Milter, Richard, Cason, W. Chris|
|School:||University of Maryland University College|
|Department:||School of Business|
|School Location:||United States -- Maryland|
|Source:||DAI-A 82/2(E), Dissertation Abstracts International|
|Subjects:||Management, Operations research, Computer science|
|Keywords:||Data analytics, Big data, Cloud computing, Decision-making, Healthcare industry, Planning and forecasting|
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