| Literature DB >> 31332535 |
Maria José Sousa1, António Miguel Pesqueira2, Carlos Lemos3, Miguel Sousa4, Álvaro Rocha5.
Abstract
Big data analytics enables large-scale data sets integration, supporting people management decisions, and cost-effectiveness evaluation of healthcare organizations. The purpose of this article is to address the decision-making process based on big data analytics in Healthcare organizations, to identify main big data analytics able to support healthcare leaders' decisions and to present some strategies to enhance efficiency along the healthcare value chain. Our research was based on a systematic review. During the literature review, we will be presenting as well the different applications of big data in the healthcare context and a proposal for a predictive model for people management processes. Our research underlines the importance big data analytics can add to the efficiency of the decision-making process, through a predictive model and real-time analytics, assisting in the collection, management, and integration of data in healthcare organizations.Entities:
Keywords: Analytics; Big data; Business intelligence; Prisma methodology; Decision-making; Healthcare organizations; Leaders; Outcomes
Year: 2019 PMID: 31332535 DOI: 10.1007/s10916-019-1419-x
Source DB: PubMed Journal: J Med Syst ISSN: 0148-5598 Impact factor: 4.460