基于深度学习的医疗耗材管理系统研究  

Research on Medical Consumables Management System Based on Deep Learning

作　　者：冯晓赛 FENG Xiaosai(Xi’an Aeronautical Polytechnic Institute,Xi’an 710089,China)

机构地区：[1]西安航空职业技术学院,西安710089

出　　处：《移动信息》2023年第8期66-68,共3页MOBILE INFORMATION

基　　金：2023年度陕西省教育厅科学研究计划项目一般专项:基于深度学习的医疗耗材需求预测研究;陕西省“十四五”教育科学规划2022年度课题(SGH22Y1638)。

摘　　要：随着人口老龄化和医疗服务的发展,对医疗机构内部物资管理提出了更高的要求。文中利用深度学习技术,建立了一套基于深度学习的医疗耗材管理系统。该系统包括数据源、数据集市、数据服务等3个层级,划定了系统数据处理流程,能自动识别并处理医院内部的物资,提高了物资管理效率和管理水平。此外,该系统还提出了基于业务往来向前延伸、向后延伸的策略,利用系统整合财务,实现了与供应商、服务商之间的合作关系,促进了整体供应链的优化和医疗服务质量的提升。文中提供了一种改进型医疗机构物资管理和服务质量的方案,是医疗机构管理的有益参考。With the aging of the population and the development of medical services,higher requirements are put forward for the internal material management of medical institutions.This paper uses deep learning technology to establish a medical consumables management system based on deep learning.The system includes three levels:data source,data mart,and data service,and delineates the system data processing process,which can automatically identify and process the materials in the hospital,and improve the efficiency and management level of material management.In addition,the system also proposes a strategy of extending forward and backward based on business transactions,using the system to integrate finance,realize cooperative relationships with suppliers and service providers,and promote the optimization of the overall supply chain and the improvement of medical service quality.This paper provides a scheme for improving material ma-nagement and service quality in medical institutions,which is a useful reference for medical institution management.

关 键 词：深度学习 医疗耗材 数据处理 业务往来 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论]