Design and Implementation of a Software System for Full-Process Animal Experiment Ethical Review

Institutions of higher education undertake a significant number of animal experiment projects with diverse types. To standardize animal experiments and ensure animal welfare, ethical review has become a core task for the Institutional Animal Care and Use Committee (IACUC) in these higher education institutions. A key issue worth exploring is how to improve the efficiency of animal ethical reviews while maintaining systematic quality of supervision. Based on the current status of ethical reviews at the Laboratory Animal Center of Huazhong University of Science and Technology, this paper designs and implements a full-process ethical review software system. This system seeks to offer solutions for the ethical review and supervision of animal welfare in institutions of higher education through information technology. The system employs a full-process supervision philosophy of "pre-approval, in-process supervision, post-review," focusing on strengthening the review and approval of animal research protocols, as well as post-approval monitoring. At the pre-approval stage, the system optimizes the process for designated members involved in the project review, ensuring that all projects comply with ethical standards and legal regulations. At the in-process stage, veterinary verification and consultation are carried out by executive veterinarians, using a method of "offline inspections and online records" for supervision. At the post-review stage, researchers are required to provide retrospective data to evaluate the experimental process. Additionally, this paper provides an in-depth exploration of the software, detailing its functional and non-functional requirements, as well as its security considerations. It also delves into the comprehensive software architecture, process design, and operational details. Furthermore, it illustrates the system's operational efficacy and impact since its launch. This paper discusses the software's applicability and practicality, analyzing existing limitations and challenges, such as the difficulty of balancing experiment urgency with the stringent nature of review processes, and the traceability blind spots in post-approval supervision. Future research will continue to enhance the accuracy and strength of animal welfare ethical reviews and supervision through new technologies and methods.