ISCTE-Instituto Universitário de Lisboa, Lisbon, Portugal.
Takeda, Zurich, Switzerland.
J Med Syst. 2019 Jul 22;43(9):290. doi: 10.1007/s10916-019-1419-x.
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.
大数据分析使大规模数据集的集成成为可能，支持人们管理决策，并评估医疗保健组织的成本效益。本文的目的是解决医疗保健组织中基于大数据分析的决策过程，确定主要的大数据分析方法，以支持医疗保健领导者的决策，并提出一些策略，以提高医疗保健价值链的效率。我们的研究基于系统评价。在文献回顾过程中，我们还将介绍大数据在医疗保健环境中的不同应用，并提出一个人员管理流程的预测模型。我们的研究强调了大数据分析通过预测模型和实时分析为医疗保健组织的数据收集、管理和集成提供帮助，从而为决策过程的效率增添重要价值。
