Department of Economics, University of Foggia, Via Caggese n.1, Foggia, Italy.
BMC Health Serv Res. 2022 Jun 22;22(1):809. doi: 10.1186/s12913-022-08167-z.
Multiple attempts aimed at highlighting the relationship between big data analytics and benefits for healthcare organizations have been raised in the literature. The big data impact on health organization management is still not clear due to the relationship's multi-disciplinary nature. This study aims to answer three research questions: a) What is the state of art of big data analytics adopted by healthcare organizations? b) What about the benefits for both health managers and healthcare organizations? c) What about future directions on big data analytics research in healthcare?
Through a systematic literature review the impact of big data analytics on healthcare management has been examined. The study aims to map extant literature and present a framework for future scholars to further build on, and executives to be guided by.
The positive relationship between big data analytics and healthcare organization management has emerged. To find out common elements in the studies reviewed, 16 studies have been selected and clustered into 4 research areas: 1) Potentialities of big data analytics. 2) Resource management. 3) Big data analytics and management of health surveillance systems. 4) Big data analytics and technology for healthcare organization.
In conclusion is identified how the big data analytics solutions are considered a milestone for managerial studies applied to healthcare organizations, although scientific research needs to investigate standardization and integration of the devices as well as the protocol in data analysis to improve the performance of the healthcare organization.
文献中多次尝试强调大数据分析与医疗保健组织效益之间的关系。由于这种关系的多学科性质,大数据对健康组织管理的影响尚不清楚。本研究旨在回答三个研究问题:a)医疗保健组织采用的大数据分析的现状如何?b)对卫生管理人员和医疗保健组织有哪些好处?c)医疗保健中大数据分析研究的未来方向是什么?
通过系统的文献回顾,考察了大数据分析对医疗保健管理的影响。该研究旨在绘制现有文献图谱,并为未来的学者提供一个进一步构建的框架,并为管理人员提供指导。
大数据分析与医疗保健组织管理之间的积极关系已经显现出来。为了找出所审查研究的共同要素,选择了 16 项研究并分为 4 个研究领域:1)大数据分析的潜力。2)资源管理。3)大数据分析与健康监测系统管理。4)医疗保健组织的大数据分析和技术。
总之,确定了大数据分析解决方案如何被视为应用于医疗保健组织的管理研究的一个里程碑,尽管科学研究需要调查设备以及数据分析协议的标准化和集成,以提高医疗保健组织的绩效。