[Application of adaptive technology-based speech recognition system in 600 pathological grossing process].

Abstract

Objective: To establish a speech recognition system based on adaptive technology and to evaluate its value in pathological grossing processes. Methods: A total of 600 tissue specimens were collected at the Zhejiang Provincial People s Hospital affiliated to Hangzhou Medical College between October 1, 2020 and December 31, 2020. A speech recognition system based on adaptive technology was used in the pathological grossing processes, and the pathological examination reports were generated and extracted. Results: The speech recognition system based on adaptive technology showed a good recognition rate (overall recognition rate = 77.87%) and helped achieve rapid input and output of pathological examination data. Conclusions: The speech recognition system can reduce the labor costs, improve the work efficiency of pathologists and increase the quality of medical services, which may be valuable for building next-generation smart hospitals.