摘要
针对当前大多数医院资源检索机器检索运行时间较长的问题,设计基于人工智能的医院档案信息库资源多层次检索机器。该机器通过设计多层次检索网络拓扑结构,扩展控制器协调模式保证通用控制器的可靠性,并增加异构多核检索加速处理器维持操作系统的正常运行;设计检索机器的功能模块,将数据库逻辑结构进行转换,完成信息数据的实时更新,对存储检索模块进行优化。实验结果表明,所设计的资源多层次检索机器与传统相比,档案信息库资源检索运行时长缩短了二分之一,大大提高了医院档案信息资源检索效率。
Aiming at the long running time of most hospital resource retrieval machines,a multi-level retrieval machine based on artificial intelligence was designed.By designing the multi-layer retrieval network topology,the extended controller coordination mode is used to ensure the reliability of the general controller,and the heterogeneous multi-core retrieval is used to accelerate the processor and maintain the normal operation of the operating system.The function module of the retrieval machine is designed,the logical structure of the database is transformed,the real-time update of the information data is completed,and the storage and retrieval module is optimized.The experimental results show that compared with the traditional multi-layer retrieval machine,the running time of archives information database is shortened by half,and the efficiency of hospital archives information retrieval is greatly improved.
作者
周秋红
ZHOU Qiuhong(The first people's Hospital of Laoyang,Luoyang,Henan Luoyang 471002,China)
出处
《自动化与仪器仪表》
2019年第10期187-190,194,共5页
Automation & Instrumentation
基金
河南省档案局2018年科技项目:医院精神文明建设档案管理研究(No.2018-T-21)
关键词
人工智能
医院
管理系统
信息化
资源检索
档案管理
artificial intelligence
the hospital
management system
informatization
resource retrieval
archives management
