PC-based medical transcription verification system
Medical Transcription is a process in which a doctor hires a transcriptionist to transcribe the recorded audio of his patients' medical history, records, and diagnosis. However, due to several factors such as noisy recording environment, unclear pronunciation of words, and the complexity of the...
Saved in:
Main Authors: | , , , |
---|---|
Format: | text |
Language: | English |
Published: |
Animo Repository
2006
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/14281 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Language: | English |
id |
oai:animorepository.dlsu.edu.ph:etd_bachelors-14923 |
---|---|
record_format |
eprints |
spelling |
oai:animorepository.dlsu.edu.ph:etd_bachelors-149232021-11-15T07:19:15Z PC-based medical transcription verification system Belen, Daniel Felix A. Espinosa, Melissa Katherine P. Gutierrez, Marissa C. Larrazabal, Ida Mae D. Medical Transcription is a process in which a doctor hires a transcriptionist to transcribe the recorded audio of his patients' medical history, records, and diagnosis. However, due to several factors such as noisy recording environment, unclear pronunciation of words, and the complexity of the medical lexicon, the transcriptionists have difficulty in understanding and transcribing the audio. It is imperative that the transcriptions are error-free but doctors are too busy to check the work of the transcriptionists thus quality control poses as a problem in manual transcription. The aim of this research is to utilize speech recognition techniques to create a software that would aid transcriptionists in transcribing medical audio. Based on the knowledge that phonemes are characterized by their unique features, the system used several algorithms including a phoneme recognition, statistical algorithm, and artificial intelligence to recognize indecipherable audio selected by the user on the assumption that the word is included in the system's database. Audio samples are acquired using a digital audio recorder that is connected to the computer via the USB port and are saved in .way format. Text files, on the other hand, are saved in .txt format. The GUI allows the user to view the audio's waveform, playback the audio, open and edit a text file, and select parts of the audio segment for recognition. Another aspect of the GUI scans the text file and verifies the medical terms in the file if they are also present in the system's database. 2006-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/14281 Bachelor's Theses English Animo Repository Medical transcription--Technological innovations Medical technology Medical records--Data processing Automatic speech recognition Engineering |
institution |
De La Salle University |
building |
De La Salle University Library |
continent |
Asia |
country |
Philippines Philippines |
content_provider |
De La Salle University Library |
collection |
DLSU Institutional Repository |
language |
English |
topic |
Medical transcription--Technological innovations Medical technology Medical records--Data processing Automatic speech recognition Engineering |
spellingShingle |
Medical transcription--Technological innovations Medical technology Medical records--Data processing Automatic speech recognition Engineering Belen, Daniel Felix A. Espinosa, Melissa Katherine P. Gutierrez, Marissa C. Larrazabal, Ida Mae D. PC-based medical transcription verification system |
description |
Medical Transcription is a process in which a doctor hires a transcriptionist to transcribe the recorded audio of his patients' medical history, records, and diagnosis. However, due to several factors such as noisy recording environment, unclear pronunciation of words, and the complexity of the medical lexicon, the transcriptionists have difficulty in understanding and transcribing the audio. It is imperative that the transcriptions are error-free but doctors are too busy to check the work of the transcriptionists thus quality control poses as a problem in manual transcription.
The aim of this research is to utilize speech recognition techniques to create a software that would aid transcriptionists in transcribing medical audio. Based on the knowledge that phonemes are characterized by their unique features, the system used several algorithms including a phoneme recognition, statistical algorithm, and artificial intelligence to recognize indecipherable audio selected by the user on the assumption that the word is included in the system's database. Audio samples are acquired using a digital audio recorder that is connected to the computer via the USB port and are saved in .way format. Text files, on the other hand, are saved in .txt format. The GUI allows the user to view the audio's waveform, playback the audio, open and edit a text file, and select parts of the audio segment for recognition. Another aspect of the GUI scans the text file and verifies the medical terms in the file if they are also present in the system's database. |
format |
text |
author |
Belen, Daniel Felix A. Espinosa, Melissa Katherine P. Gutierrez, Marissa C. Larrazabal, Ida Mae D. |
author_facet |
Belen, Daniel Felix A. Espinosa, Melissa Katherine P. Gutierrez, Marissa C. Larrazabal, Ida Mae D. |
author_sort |
Belen, Daniel Felix A. |
title |
PC-based medical transcription verification system |
title_short |
PC-based medical transcription verification system |
title_full |
PC-based medical transcription verification system |
title_fullStr |
PC-based medical transcription verification system |
title_full_unstemmed |
PC-based medical transcription verification system |
title_sort |
pc-based medical transcription verification system |
publisher |
Animo Repository |
publishDate |
2006 |
url |
https://animorepository.dlsu.edu.ph/etd_bachelors/14281 |
_version_ |
1772834878209916928 |