Medical Transcription Editing Industry
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A method for solving problems that uses a finite number of instructions
back-end speech recognition
A system in which a doctor’s completed report is sent to a speech recognition engine and a text version is created for the medical transcription editor to edit. The term back-end comes from the part of the process in which the SRT is used (in this case, in the back of the process).
A mutual relationship or connection between two or more things. Correlations are found using reasoning skills by making inferences.
To guess or infer something unknown by using what is known.
front-end speech recognition
The doctor dictates the report and the speech recognition engine produces the text version in real time. The physician can read, edit, and alter the text at the time of the report’s creation. The term front-end comes from the part of the process in which the SRT is used (in this case, in the front of the process).
The centrally located keyboard positions for your fingers on a keyboard. The home row can change according to task and often does with different speech recognition programs.
A conclusion reached on the basis of evidence and reasoning.
Keyboard keystroke sequences that eliminate the use of the mouse. There are different types of keyboard shortcuts:
1) Editing – These shortcuts allow you to cut and paste text in a document, move and copy documents, etc.
2) Navigation – These shortcuts help you get around your computer or an application you are running.
3) Audio – These manipulate the audio playback.
medical speech recognition editor
Also known as medical transcription editor. This career emphasizes the verification, research, and editing of medical records (as opposed to creating them from an audio file, as a medical transcriptionist does).
natural language processing
A subfield of artificial intelligence and linguistics. It studies the problems of automated generation and understanding of natural human languages. Natural language generation systems convert information from computer databases into normal-sounding human language, and natural language understanding systems convert samples of human language into more formal representations that are easier for computer programs to manipulate.
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