Design And Implementation Of Intelligent Management Platform For Large Scale Clinical Medical Equipment

Medical quality and medical safety are the core and development of hospital management.Large-scale medical equipment management accounts for a large part of hospital management.The stable operation and high efficiency and safety of medical equipment play an important role in medical quality and medical safety.Therefore,The standardization of medical equipment management requires not only standardized process control but also multi-directional monitoring,acquisition and control of equipment operation data.The technology combining mobile communication technology and Internet of Things technology is applied more and more widely in the medical field,Sex-managed network front-end equipment with real-time big data collection,multi-sourced from the organization,reliable data forwarding and other functions,with low deployment costs,high density,reliable data transmission and other characteristics.In addition,IOT hardware and software application platform has the advantages of convenient maintenance and convenient application development.The user can directly obtain the application data.Technicians can conveniently debug and update the system based on the consistency of the RF interface of the IoT front-end equipment.Intelligent management platform through multi-system collaboration,make full use of Internet of Things technology,combined with intelligent processing tools,the establishment of highly integrated hardware and software scalable management platform to effectively manage the day-to-day operation and maintenance of large medical equipment,close monitoring of equipment operating environment,data Automatic analysis and reminder of the intelligent management platform.The main work of this paper is:(1)Constructing a large-scale medical equipment intelligent management platform that can undertake all kinds of equipment management processes and data acquisition business,provide user analysis and query and do visual display and intelligent analysis and management.(2)Through the deployment of heterogeneous multi-functional IoT front-end nodes,a mobile IoT monitoring application for medical device intelligent management platform is set up,and the heterogeneous sensor nodes deployed on a large clinical medical device are collected in real time through coordinated division of labor External environment data and power supply data,such as:equipment voltage and current,temperature and humidity,environmental electromagnetic induction,workplace strength and equipment movement and other parameters are acquired by the IoT front-end equipment,users can access the server,real-time access to data and make the appropriate Manage and set up,monitor various management processes and data changes,analyze and formulate or optimize maintenance and maintenance workflows,and maximize the normal operation of equipment.At the same time,intelligent forecasting,intelligent operation and maintenance,intelligent reminder of emergency operation and disposal Such as intelligent management.(3)Management Platform Combining the medium and large-sized medical equipment management system and management process requirements,the positioning technology of wireless communication technology and the three-edge positioning algorithm is used to realize the indoor positioning function of medical equipment and make asset management and quality tracking more efficient.Management platform in the hospital's deployment and continuous research,to meet the requirements of the hospital fine management;using IoT front-end acquisition equipment to ensure that clinical data collection accuracy,robustness and versatility;through wired and wireless protocols And distributed messaging mechanism,all types of data accurately transmitted to the platform architecture management system,the application more flexible and more stable,both to meet the demand and easy expansion;finally by means of data analysis and machine intelligence fault trend anticipation,can effectively deal with the risk of failure,to ensure the quality of medical care,intelligent management to arrive.