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[Application of adaptive technology-based speech recognition system in 600 pathological grossing process].
1Department of Pathology, Zhejiang Provincial People's Hospital,the Affiliated People's Hospital of Hangzhou Medical College, Hangzhou 310014,China.
Zhonghua Bing Li Xue Za Zhi = Chinese Journal of Pathology
|September 9, 2021
Summary
This study developed an adaptive speech recognition system for pathology grossing, achieving a 77.87% recognition rate. This technology enhances pathologist efficiency and medical service quality for smart hospitals.
Area of Science:
- Medical Informatics
- Pathology
Background:
- Pathological grossing processes generate extensive data requiring efficient reporting.
- Traditional methods of report generation can be time-consuming and labor-intensive.
Purpose of the Study:
- To develop and evaluate an adaptive speech recognition system for pathological grossing.
- To assess the system's impact on efficiency, accuracy, and cost in pathology departments.
Main Methods:
- A total of 600 tissue specimens were analyzed.
- An adaptive speech recognition system was implemented in pathological grossing.
- Pathological examination reports were generated and extracted using the system.
Main Results:
- The adaptive speech recognition system achieved an overall recognition rate of 77.87%.
- The system facilitated rapid input and output of pathological examination data.
- Implementation demonstrated potential for reduced labor costs and improved workflow.
Conclusions:
- Adaptive speech recognition systems show promise for enhancing pathologist work efficiency.
- The technology can improve the quality of medical services in pathology.
- This system may be valuable for developing next-generation smart hospitals.
