Desing And Development Of PACS System For Medical Diagnosis Of Logistics Practitioners

With the vigorous development of China’s economy,the logistics industry is also developing rapidly.The logistics practitioners are facing more and more competitive pressure and work intensity.How to ensure the logistics practitioners to keep healthy in the high-intensity working state has become a growing concern of most logistics enterprises.Relevant logistics enterprises choose to provide regular physical examination service for employees,and help employees prevent possible major diseases in advance with the help of examination results,which can effectively improve the health level of logistics employees.The information provided by medical records produced by physical examination of logistics employees also has theoretical research and practical application value.This paper develops a set of PACS system for medical diagnosis assistance of logistics practitioners.It integrates PACS system,desensitization system and labeling system organically.It has the functions of filing,desensitizing,tracing and labeling medical records.The desensitized medical record image is labeled,which not only protects the privacy of patients,but also can be used in scientific research.It can effectively manage the digital documents produced by the physical examination of the staff,and improve the efficiency of the document management of the hospital.The system has been running stably in a hospital medical research center,which can effectively promote the research of scientific researchers.Based on the analysis of the system requirements,the whole function of the system is divided into several subsystem modules.The main architecture design and the architecture design of each subsystem module are introduced.The interaction between the sub modules in the system is explained.DICOM standard of medical industry is adopted in the process of system development,and real is adopted as the main part of the front end architecture,and the DICOM standard is adopted Node.js And egg framework as the main part of the backend architecture,and with MySQL database to achieve data reading and storage,using docker tools for system installation and deployment.In this paper,the system is tested,and the expected design goal is achieved.The system runs stably and reliably.With the rapid development of medical artificial intelligence technology,one of the bottlenecks of its application practice is the lack of effective label data.This system can provide high-quality data,meet the needs of relevant researchers,and promote the development of relevant scientific research,so as to use scientific research achievements to provide better medical services for the logistics industry and play a positive role in improving the health level of logistics practitioners It has a positive effect.