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SYSTEM FOR MANAGING HOSPITAL ASSETS AND METHOD THEREOF

机译:医院资产管理系统及其方法

摘要

Disclosed are a system for managing hospital assets and a method thereof. According to an embodiment, the system for managing hospital assets allows a hospital asset management system user to scan, with a hospital asset management terminal, surface QR codes of target hospital products and devices, allows the hospital asset management terminal to generate a first input signal based on a scan result, allows the hospital asset management terminal to input the first input signal to a pre-learned convolutional neural network in a blockchain network through a high-speed Internet connection network, allows a second network storage device among network storage devices on the blockchain network to acquire a first output signal based on an input to the convolutional neural network, allows the network storage devices to transmit the first output signal to the hospital asset management terminal, allows the hospital asset management terminal to output hospital asset information to the monitor of the hospital asset management terminal based on the transmitted first output signal, allows the second network storage device to generate a first order signal for an insufficient inventory of products and devices based on the first output signal of the convolutional neural network, and allows the second network storage device to share the first input signal, the first output signal, a use record for the convolutional neural network, and the first order signal with the first network storage device and a third network storage device through the blockchain network. Therefore, the system and the method can safely manage hospital assets by using deep-learning technology.;COPYRIGHT KIPO 2020
机译:公开了一种用于管理医院资产的系统及其方法。根据一个实施例,用于管理医院资产的系统允许医院资产管理系统用户利用医院资产管理终端扫描目标医院产品和设备的表面QR码,从而允许医院资产管理终端生成第一输入信号。基于扫描结果,允许医院资产管理终端通过高速互联网连接网络将第一输入信号输入到区块链网络中预先学习的卷积神经网络,允许网络存储设备中的第二网络存储设备区块链网络基于对卷积神经网络的输入获取第一输出信号,允许网络存储设备将第一输出信号传输至医院资产管理终端,允许医院资产管理终端将医院资产信息输出至基于发送的第一输出的医院资产管理终端的监视器信号,允许第二网络存储设备基于卷积神经网络的第一输出信号生成产品和设备库存不足的一阶信号,并允许第二网络存储设备共享第一输入信号,即第一输出信号,卷积神经网络的使用记录以及通过区块链网络与第一网络存储设备和第三网络存储设备的一阶信号。因此,该系统和方法可以通过使用深度学习技术来安全地管理医院资产。; COPYRIGHT KIPO 2020

著录项

  • 公开/公告号KR102123112B1

    专利类型

  • 公开/公告日2020-06-15

    原文格式PDF

  • 申请/专利权人 CHO DAE WON;

    申请/专利号KR20190127585

  • 发明设计人 CHO DAE WONKR;

    申请日2019-10-15

  • 分类号G16H40/40;G06K19/06;G06N3/08;G06Q10/08;

  • 国家 KR

  • 入库时间 2022-08-21 11:04:26

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