Digitalization of the entire laboratory process supports quality traceability throughout the entire lifecycle, avoiding data silos.
A professional laboratory information management system that optimizes laboratory processes through digital means, achieving comprehensive management of samples, data, reports, resources, and affairs, including delegation management, sample management, experimental records, report generation, data analysis, and other functions. It helps laboratories achieve automation and networked operations, improve the accuracy and traceability of experimental data, and optimize resource allocation.
Realize digital and standardized management
Optimize Resource Management
Improve Automation Levels
Build a stable and easy-to-use laboratory management system, achieve digital management of testing processes and laboratory management systems, automatically generate original records and reports, approve online, and automatically push experimental reports.
Realize digital and standardized management
By comprehensively standardizing the management of laboratory resources such as instruments, methods, standards, personnel, consumables, etc., establishing an instrument management ledger, calculating the workload of instruments and personnel, quantitatively assessing personnel, and optimizing laboratory resource management.
Optimize Resource Management
Improve the level of business automation and work efficiency in the laboratory, enabling data from equipment and instruments with workstations to be automatically collected into the LIMS system. By automatically calling, calculating, and connecting with testing instruments, the standardization and automation level of laboratory inspection business can be improved, avoiding the arbitrariness of manual operations and making various inspection work traceable.
Improve Automation Levels
Standardize Quality Management And Monitoring
Strictly follow the laboratory business and quality management processes to achieve automated management of the entire process, including sample registration, task allocation, data review, processing, statistics, and queries. Standardize internal laboratory management to ensure the accuracy and completeness of data.
Efficient utilization and value-added of data
Through digital centralized management, the originally scattered data is integrated and utilized, breaking down data silos and improving data utilization efficiency.
Real-Time Data Sharing And Collaboration
Enable real-time data transmission and sharing, eliminating the inefficiency and errors associated with traditional manual transmission. Relevant departments can quickly obtain the data they need, improving work efficiency.
Deep Data Mining And Insights
Comprehensive processing, statistics, querying, and comparison of historical sample data can be carried out to discover patterns and trends in the data. By deeply mining data, potential patterns are revealed, providing data insights for production optimization, risk prediction, and quality improvement.
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*Products Of Interest
*Requirement Description