医疗保健管理中的大数据分析和人工智能:影响和现状

IF 1.7 Q3 MANAGEMENT
M. Sazu, S. Jahan
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引用次数: 5

摘要

背景:医疗保健是一个非常复杂的领域,正在以前所未有的速度摄取数据。在医疗保健行业,有大量的数据;来自医生和医院、医学研究、医疗保险、医疗设备以及生命科学的数据持续高速流动。技术的改进为利用医疗保健中的数据来改变医疗保健管理打开了巨大的可能性。研究差距:研究数据分析在一般医疗保健中的意义已经进行了大量的研究,但对数据分析在医疗保健管理领域的重要性及其发展现状的研究还存在差距。新颖性:本研究通过采用结构映射,着重于评估现有研究,以提供证据,鼓励数据分析在医疗保健领域的进一步应用。方法:对1241项研究进行了有组织的结构映射分析,以确定和评估大数据分析和人工智能在医疗保健中的应用。未来范围:本研究将确定在医疗保健中使用数据分析需要进一步研究的领域。本研究可能为今后的研究人员进行进一步的研究提供潜在的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
BIG DATA ANALYTICS & ARTIFICIAL INTELLIGENCE IN MANAGEMENT OF HEALTHCARE: IMPACTS & CURRENT STATE
Background: Healthcare is a very complex area that is ingesting data at an unprecedented speed. Within the health care industry, there’s an abundance of data; data from physicians and hospitals, medical research, medical insurance, medical equipment as well as life sciences keep flowing at a high rate. The improvement of technologies opens doors to huge possibilities for using the data found in health care for transforming the management of healthcare. Research gap: A lot of research have been conducted to study the significance of data analytics in general healthcare, but there’s a gap to research the importance of data analytics in the field of healthcare management as well as its current state of development. Novelty: The study, through employing structural mapping, focuses on evaluating the available research to offer proof that will encourage further application of data analytics in the healthcare field. Methodology: An organized structural mapping analysis of 1241 studies was carried out to identify as well as evaluate the application of Big Data Analytics and Artificial Intelligence in healthcare. Future scope: This study is going to identify the areas which need further study for the use of data analytics in healthcare. This study will likely provide a potential base for future researchers to conduct further research.
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CiteScore
4.20
自引率
0.00%
发文量
15
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