Senxu Medical LIVS Intelligent Laboratory Audit System

According to the United States CLSI AUTO-10A, CLSI AUTO-15, CLSI EP33 Waiting for international guidelines and WS/T 616-2018 Design and develop according to industry standards, Independent of existing LAS Intermediate and LIS Report review management mode, Independent intelligent auditing system, Utilize big data analysis, Intelligent Analysis, Intelligent adjustment of limit range, Smart Hint, Remote report review and monitoring, Assist clinical laboratories in achieving intelligent testing management.

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       The system can be flexibly applied to regional inspection centers, medical consortium, independent laboratory, first-level, secondary, Clinical laboratories of tertiary hospitals and other medical institutions at all levels, Suitable for various brands LAS And standalone detection system.                          

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value

  • Reduce manual report review steps, Avoid human error, Timely identification, Accuracy of correction results, Reduce medical risks

  • people-centered, Reduce the intensity of repetitive work, Reduce work injuries, improve efficiency

  • Balance the ability of staff with different professional levels to review reports, Improve laboratory management level

advantage

  • according to CLSI AUTO 10A, AUTO15 , CLSI EP33 and WS/T 616-2018 design, Adopting artificial intelligence technology  

  • Independent intermediate system, Not dependent on automated assembly line middleware and LIS

  • Suitable for different types of users, And various brands LAS And standalone detection system.

 

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characteristic

  • according to CLSI AUTO 10A, AUTO15 , CLSI EP33 and WS/T 616-2018 design, Adopting artificial intelligence technology  

  • Including biochemistry, immunity, blood, inspection, Microbial and other professional quantitative and qualitative testing projects

  • Set up a dedicated rule library, Suitable for assembly line systems and standalone systems of different brands.

  • Intelligent audit regulation setting based on the distribution characteristics and biological variations of patient outcome big data in various hospitals

  • independent system, System big data analysis, establish, verification, implement, Complete management and other functions.

  • Capable of intelligent deep learning, Intelligent adjustment of the limit range of automatic audit rules.


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