2results about How to "Reduce review workload" patented technology

This invention discloses a method and apparatus for software source code data coupling coverage analysis, which integrates the results of static control flow analysis and static / dynamic data flow analysis to reduce the workload of data coupling analysis. The technical solution is as follows: Perform static control flow analysis of the source code to divide it into execution components; perform static data flow analysis of the source code, taking the execution components as objects, and summarize and calculate the input and output variable tables of the execution components; perform dynamic data flow analysis of the source code to generate definition-use pairs between different execution components, and review their effectiveness in conjunction with the control flow; expand the input and output variable tables of the execution components by adding and filling in the columns for input source and output destination, forming a data coupling relationship table for the source code execution components; determine whether the source code data flow is abnormal; complete the analysis of data coupling relationships between associated execution components and the analysis of data coupling relationships between function modules, serving as reverse input for judging whether the source code data coupling conforms to the software architecture and low-level requirements, and judging its correctness.

The application provides a full-process intelligent auditing method and system based on intravenous medication orders, which comprises the following steps: acquiring intravenous medication orders and multidimensional medical record data, generating order feature vectors and patient feature vectors; a rule engine performs static compliance determination to screen the first order; an unsupervised model is used to detect hidden risks to determine physiological parameters that need to be dynamically monitored; physiological parameters are collected in real time, and dynamic detection is performed through the rule engine; corresponding medication control operations are performed according to the dynamic detection results, the unsupervised model is incrementally corrected, and the prediction ability of the unsupervised model is iteratively optimized. Through the triple auditing mechanism of static auditing, dynamic auditing and hidden risk investigation, the application realizes full-process, high-precision and individualized intelligent auditing of intravenous medication orders, effectively solving the core drawbacks of the existing static auditing of intravenous medication orders, such as limited auditing range, low precision, inability to identify hidden risks, lack of dynamic adaptation and iterative optimization ability.