PC-based medical transcription verification system
Date of Publication
2006
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics and Communications Engineering
Subject Categories
Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Edwin Sybingco
Defense Panel Member
Enrique M. Manzano
Leonard U. Ambata
Emmanuel A. Gonzalez
Abstract/Summary
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.
Abstract Format
html
Language
English
Format
Accession Number
TU13797
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
1 v. (various foliations) : ill. (some col.) ; 28 cm.
Keywords
Medical transcription--Technological innovations; Medical technology; Medical records--Data processing; Automatic speech recognition
Recommended Citation
Belen, D. A., Espinosa, M. P., Gutierrez, M. C., & Larrazabal, I. D. (2006). PC-based medical transcription verification system. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/14281