Shanghai Xinghe Wins LIS Interface Upgrade Project: V5.0 Offers International Standards and AI Features
上海杏和LIS系统接口改造完成,V5.0版本释放哪些技术信号? - 搜狐
Summary
Shanghai Xinghe Software won an LIS system interface upgrade project at Fujian Medical University First Affiliated Hospital. They proposed their self-developed V5.0 version, demonstrating technical advantages such as support for international standards (HL7, FHIR) and the integration of an AI diagnostic module.
Details
Shanghai Xinghe Software Co., Ltd. secured a contract to upgrade the LIS system interface at Fujian Medical University First Affiliated Hospital using its self-developed 'Xinghe Clinical Laboratory Information Management Software V5.0'. This V5.0 version aims to improve data processing efficiency and compatibility, featuring several technical advantages. The key technical features include an upgraded interface communication protocol supporting major international standards like HL7 and FHIR. This significantly enhances the compatibility with clinical endpoints such as HIS (Hospital Information System) and EMR (Electronic Medical Record), enabling faster and more accurate transmission of test results and reducing data latency. Furthermore, V5.0 introduces an AI-assisted diagnostic module, which provides intelligent suggestions based on big data analysis, thereby improving both testing efficiency and diagnostic accuracy. The system utilizes a microservice architecture, ensuring high scalability and flexibility for future feature additions or smart device integration. In terms of security, the adoption of national cryptographic algorithms (Guomi) and passing Level 3 Security Protection Certification ensures patient data safety during transmission and storage. Industry trends show that medical informatization is shifting from isolated systems to full-process collaboration, making LIS system openness and compatibility crucial. The future demands evolution toward AI-driven data analysis and personalized services, positioning this project's success as a model for combining standardization with advanced intelligence.
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