Design of the Computer Management System for Reproductive Toxicity Tests

Objective: To ensure the accuracy and reliability of the data collection, access, processing and analysis of the reproductive toxicity test, and to improve the efficiency of the test, a computer management system for the reproductive toxicity test, Reprodv1.0, was developed. Method: Referring to the ICHS5a technical requirements and the national GLP specifications, the Access database was used as the basic database, and the VisualBasic6.0 computer language and tools were used to compile the database. Result: The main performance characteristics of the Reprodv1.0 software are as follows. The main window includes nine main menus of the files, data input, printing original records, printing logs, statistical analysis, data query, data modification, port setting and help. Computer automatic grouping and manual grouping before and after the mating are allowed in the system. The frequency of the weighing and the feed consumption testing can be determined according to the specifications. The self-developed database contains the most abnormal behavior signs of the laboratory animals. There are more than 800 common abnormal or variant names of the laboratory animals in the database of appearance and visceral and skeletal deformities. Printing operation logs and screen prompts are used to solve the problem of missing or miss-electing the objects caused by the complex and tedious test procedures. The experimental results were analyzed by the nest-based statistical method. The data query and the printing module can analyze and inspect or print the periodic test results at any time. Set up the multi-level security passwords to ensure that researchers of all kinds can get the data they should know in time. Conclusion: The performance and the technical indicators of Reprodv1.0, a computer management system for the reproductive toxicity test developed by this research institute, meet the design requirements. This software can not only improve the efficiency of the test work, but can also increase the accuracy and reliability of the data acquisition, access, processing and analysis.