[Usage of automatic voice transcription in autopsy service]

Area of Science:

• Forensic Medicine
• Medical Informatics
• Speech Recognition Technology

Background:

• Accurate transcription of autopsy findings is crucial for forensic documentation.
• Existing speech recognition software may face challenges in specialized medical environments.
• The NEWTON Dictate program offers potential for improving transcription efficiency.

Purpose of the Study:

• To evaluate the utility of NEWTON Dictate for speech recognition and transcription in forensic medicine.
• To identify and address specific challenges in transcribing autopsy findings.
• To propose program improvements for enhanced accuracy in forensic workflows.

Main Methods:

• Analysis of the NEWTON Dictate computer program for speech recognition and transcription.
• Examination of forensic medicine conditions influencing speech recognition accuracy.
• Development of strategies for program improvement, including vocabulary and vocal adaptation.

Main Results:

• NEWTON Dictate shows promise for transcribing autopsy findings in forensic medicine.
• Specific forensic conditions can impact speech recognition performance.
• Vocabulary customization and vocal adaptation are key to reducing transcription errors.

Conclusions:

• Optimized NEWTON Dictate software can significantly improve the accuracy of autopsy transcription.
• Addressing the unique linguistic demands of forensic medicine enhances the reliability of speech recognition tools.
• The role of the autopsy secretary remains important in the transcription process.