In recent years, the autoverification system has emerged as an essential part of the construction of intelligent medical laboratories, serving as a core technology for efficient review of test results and standardized quality of laboratory reports. With the continuous development of laboratory automation and information technology, autoverification is gradually shifting from the traditional fixed rule-based model toward multi-dimensional, standardized and intelligent development. This paper reviews relevant industrial guidelines and research at home and abroad, and elaborates on the construction of autoverification systems, application progress in various professional fields and its integration with information technologies. It also discusses the current challenges and future development trends of autoverification, aiming to provide references for the construction and optimization of autoverification systems in medical laboratories.