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          Home > Products > Application Layer > Clinical Decision Support System

          Clinical Decision Support System

          Clinical Decision-making Support System (CDSS) is a computer application system which uses AI technology such as big data, knowledge map and neural network to remind and push doctors in every link of the process of diagnosis and treatment in real time, assist doctors to complete diagnosis and treatment business, standardize diagnosis and treatment behavior, improve medical quality and medical service level, and then control expenses.


          CDSS contains five correct elements: in the process of diagnosis and treatment, through the right channels, at the right time and under the right intervention mode, to the right person, to provide the right information. 


          Product Features

          1.Automatic data extraction through HIP integration platform

          2.Intelligent control of key indicators by CDSS algorithm

          3.Clinical assistant decision-making to improve doctor-patient compliance

          4.Analysis of diagnosis and treatment quality based on big data

          5.Scientific research and application of traceability data 


          1.Automatic data extraction through HIP integration platform

          2.Intelligent control of key indicators by CDSS algorithm

          3.Clinical assistant decision-making to improve doctor-patient compliance

          4.Analysis of diagnosis and treatment quality based on big data

          5.Scientific research and application of traceability data 


          Learn more

          Application scenario

          rule-based engine application, antimicrobial management application, clinical pathway application 

          rule-based engine application, antimicrobial management application, clinical pathway application 

          Learn more

          Core technologies

          rule engine, process engine, big data, cloud computing, CDR

          rule engine, process engine, big data, cloud computing, CDR

          Learn more

          Success Case

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