基于大数据分析的医疗信息管理措施研究  

Research on Medical Information Management Based on Big Data Analysis

作　　者：郑子乙 ZHENG Ziyi(Tongling Third People̓s Hospital,Tongling,Anhui 244000,China)

机构地区：[1]铜陵市第三人民医院,安徽铜陵244000

出　　处：《移动信息》2024年第7期92-94,共3页MOBILE INFORMATION

摘　　要：在信息化时代,大数据分析已成为提升医疗信息管理水平的关键技术之一。通过深入探究和实施大数据分析在医疗信息管理中的应用,医疗机构能实现对海量医疗数据的有效收集、处理和分析,从而为临床决策提供科学依据,优化资源配置,提高医疗服务质量和效率。此外,大数据分析有助于识别疾病模式和流行趋势,促进个性化医疗和精准治疗的发展。它还能加强疾病预防、控制和管理,提升公共卫生监测和应急响应能力。因此,利用大数据分析提升医疗信息管理水平不仅对提高患者治疗效果和生活质量具有重要意义,也对促进医疗行业的整体发展和健康管理创新具有深远影响。随着技术的不断进步和医疗数据量的日益增长,大数据分析在医疗信息管理领域的应用前景广阔。In information age,big data analysis has become one of the key technologies to improve the level of medical information management.Through in-depth exploration and implementation of the application of big data analysis in medical information management,medical institutions can effectively collect,process and analyze massive medical data,thereby providing scientific basis for clinical decision-making,optimizing resource allocation,and improving the quality and efficiency of medical services.In addition,big data analysis helps to identify disease patterns and epidemic trends,promoting the development of personalized medicine and precision therapy.It can also strengthen disease prevention,control and management,and enhance public health surveillance and emergency response capacity.Therefore,the use of big data analysis to improve the level of medical information management is not only of great significance for improving the treatment effect and quality of life of patients,but also has a far-reaching impact on promoting the overall development of the medical industry and health management innovation.With the continuous progress of technology and the increasing amount of medical data,big data analysis has a broad application prospect in the field of medical information management.

关 键 词：大数据 医疗信息 管理水平 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]