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基于人工智能的医疗大数据中心设计与构建
引用本文:王能才,王玉珍,张海英,马德宜,冯宝义. 基于人工智能的医疗大数据中心设计与构建[J]. 中国医学装备, 2022, 0(2): 1-5
作者姓名:王能才  王玉珍  张海英  马德宜  冯宝义
作者单位:解放军联勤保障部队第九四〇医院信息科
基金项目:第三批甘肃省民生课题(1303FCMA018)“远程会诊医疗信息服务平台建设与示范应用”。
摘    要:目的:构建基于人工智能的数据中心,实现医疗数据的融合、治理及挖掘应用,使其数据归一化,全面提高医疗数据可利用性,建立医院高质量数据资源库.方法:以医院临床数据中心、运营数据中心和科研数据中心建设为核心,运用自然语言处理、数据分析、挖掘、行为识别(BI)、机器学习等人工智能技术,实现医院各业务流程信息化、标准化、规范化、...

关 键 词:人工智能  数据中心  医疗服务  运营管理  医疗大数据

Design and construction of medical big data center based on artificial intelligence
Affiliation:(Department of Information,The 940^(th)Hospital of People’s Liberation Army Joint Service Support Force,Lanzhou 730050,China;不详)
Abstract:Objective:To build a data center based on artificial intelligence for realizing the merger,governance and mining of medical data in application,and achieving normalization for these data so as to comprehensively enhance the availability of medical data and establish data assets with high-quality for hospital.Methods:The clinical data center,operational data center and the data center of scientific research were used as core of construction in hospital,and a series of artificial intelligence techniques included the natural language processing,data analysis,mining,behavior identity(BI),machine learning were operated to realize the informatization,standardization,normalization,elaboration and intelligence of each operation process of hospital.Results:6 kinds of data included clinical data,operation,performance,staffs,quality control and scientific research were arranged and integrated through constructed 3 medical data centers based on the core of clinical practice,operation and scientific research.And it realized the maximum utilization of the resource of medical service.Conclusion:The establishment of medical data center of hospital can effectively solve the problems of"not unique,not accurate,not real-time,not sharing,not linkage"of hospital data,and can promote the scientific,professional and fine management of hospital operation.
Keywords:Artificial intelligence  Data center  Medical care service  Operations management  Medical big data
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