MT Speech Recognition & Editing 3

Question 1

An SR system transcribes 'the patient was given Lasix' but the dictation actually said 'the patient was given Lozol.' What is the most likely cause?

Accepted Answer

The language model defaulting to a more common drug

Answer

Language models favor statistically common words; Lasix is far more frequently dictated than Lozol, causing the model to substitute the more probable term.

Question 2

Which practice best prevents SR-introduced medication errors from reaching the final report?

Accepted Answer

Comparing SR output against the original audio for all drug names

Answer

Listening to the original audio while reviewing SR-generated drug names is the most direct method to catch substitution errors before finalization.

Question 3

What is 'normalization' in the context of medical SR output?

Accepted Answer

Converting spoken numbers and abbreviations into standard written forms

Answer

Normalization converts spoken forms such as 'four milligrams' or 'BP' into written standard formats like '4 mg' or expanded abbreviations per style guidelines.

Question 4

A dictating physician says 'peri-operative' but SR outputs 'pre-operative.' The MT should:

Accepted Answer

Correct to 'perioperative' based on audio review

Answer

Perioperative and preoperative have distinct clinical meanings; the MT must correct based on what was dictated, verified against the audio.

Question 5

Front-end SR differs from back-end SR primarily in that front-end SR:

Accepted Answer

Displays text to the dictating physician in real time

Answer

Front-end SR presents the transcribed text immediately to the physician during dictation so they can make corrections before the report leaves their hands.

(MT) Certified Medical Transcription Practice Test

(MT) Certified Medical Transcription Practice Test

MT Speech Recognition & Editing 3