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

VernacularTitle:基于自适应技术的语音识别系统在600例临床病理标本取材中的应用
Author: Ting DUAN ¹ ; Xinkang XU ; Shunfei CHEN ; Qi ZHANG ; Wanyuan CHEN ; Xiaming LU ; Xianglei HE
Author Information

1. 浙江省人民医院　杭州医学院附属人民医院病理科310014
Keywords: Artificial intelligence; Speech recognition software; Educational technology
From: Chinese Journal of Pathology 2021;50(9):1034-1038
CountryChina
Language:Chinese
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.