Dissertation/Thesis Abstract

Exploring Cloud-Based Big Data Analytics in Healthcare Organizations
by Britto, Joseph Solomon, D.B.A., University of Maryland University College, 2020, 172; 28026986
Abstract (Summary)

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.

Indexing (document details)
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
Publication Number: 28026986
ISBN: 9798664772197
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