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Application scenarios of comprehensive information management platform for experimental animals
Date: 2025-11-25Read: 3
  Comprehensive Information Management Platform for Experimental AnimalsIt is a core digital tool that integrates data from the entire life cycle of experimental animals, standardizes scientific research processes, and ensures ethical compliance. Its application scenarios run through the entire process of introducing, breeding, using, and disposing of experimental animals, covering multiple entities such as scientific research institutions, university laboratories, pharmaceutical companies, and regulatory departments, providing strong support for the standardization and refinement of experimental animal management.
Experimental animal breeding and population management are the basic application scenarios of the platform. In standardized breeding environments such as SPF animal rooms, the platform can real-time input source information (such as breed, strain, age, health quarantine report), establish a unique electronic identity file, and achieve individual traceability through QR codes or RFID tags. The staff records breeding and mating information, litter data, and growth curves of young through the platform, and the system automatically alerts for inbreeding risks. At the same time, it associates feeding environment data (temperature, humidity, cleanliness) to ensure clear genetic background and controllable health status of the population, providing standardized experimental animals for scientific research.
In the scenario of full process management of scientific research projects, the platform achieves precise connection between experimental design and animal use. Researchers submit applications for animal use through the platform, specifying the experimental purpose, animal specifications, usage quantity, and ethical considerations. The system automatically transfers them to the ethics review committee for review. During the experiment, real-time recording of animal grouping, processing methods, dosage, detection data, and other information can be achieved by integrating with experimental instrument data to automatically input and avoid manual recording errors. After the experiment is completed, the platform generates a complete animal usage report, associates it with scientific research achievement data, and forms a closed-loop management of "application approval experiment achievement" to meet the traceability requirements of scientific research data.

The ethical review and welfare protection scenarios are the core values of the platform. The platform has a built-in ethical review standard process, which verifies the compliance of experimental procedures involving animal anesthesia, surgery, etc., automatically identifies and intercepts operational applications that do not comply with animal welfare. At the same time, record data on animal anesthesia depth monitoring, postoperative care, pain assessment, etc., to ensure that the experimental process complies with the "3R principle" (substitution, reduction, optimization). The ethics committee reviews experimental plans online through the platform, checks the implementation of welfare measures, generates standardized ethical review opinions, and achieves transparency and standardization of ethical management.
Epidemic prevention, quarantine, and safety management scenarios provide guarantees for the safety of experimental animals. The platform connects with animal quarantine institutions to automatically update the quarantine certificate and vaccination records of experimental animals. When there are health abnormalities (such as abnormal body temperature or behavior), the system immediately triggers a warning and pushes it to veterinarians and management personnel, while recording the isolation and treatment process and diagnostic results. For the animal carcasses and waste after the experiment, the platform records the harmless treatment process (such as incineration, high-pressure sterilization), associates the qualifications of the treatment institutions and operator information, prevents biological safety risks, and complies with regulatory requirements such as the "Regulations on the Management of Experimental Animals".
The regulatory and data statistical analysis scenarios meet the needs of multi-party management. The regulatory authorities access real-time data on the use of experimental animals within their jurisdiction through the platform, conduct compliance checks, and focus on verifying the implementation of ethical reviews, epidemic prevention and quarantine, and other situations; Research institution managers optimize resource allocation by analyzing indicators such as animal utilization efficiency, population breeding costs, and ethical review pass rates through the platform; Pharmaceutical companies can integrate preclinical animal data through the platform, generate statistical reports that meet GLP certification requirements, and support drug development applications. The data analysis function of the platform can also provide data support for the formulation of experimental animal management policies and promote the standardized development of the industry.