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    ecorder was on) and other incomprehensible noise. Not to mention, ESL doctors with heavy accents and very tired ER doctors after a long shift!

    At this time there is no vo

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    You’ve probably heard different opinions and views on this subject. If you’re a medical transcriptionist you may even be concerned about voice recognition taking over your career… and you’re not alone.

    Let’s dig a bit deeper into voice recognition.

    As you already know, doctors are busy people. This is never more obvious then when they’re dictating their notes. It’s understandable they’re busy, and as their MT, I can surely forgive them but will the latest voice recognition software be as forgiving as me?

    Not likely.

    As a transcriptionist you will have typed through background noise, patients moaning, doctors eating their lunch, personal conversations (oops they forgot the recorder was on) and other incomprehensible noise. Not to mention, ESL doctors with heavy accents and very tired ER doctors after a long shift!

    At this time there is no voi

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    er… and you’re not alone.

    Let’s dig a bit deeper into voice recognition.

    As you already know, doctors are busy people. This is never more obvious then when they’re dictating their notes. It’s understandable they’re busy, and as their MT, I can surely forgive them but will the latest voice recognition software be as forgiving as me?

    Not likely.

    As a transcriptionist you will have typed through background noise, patients moaning, doctors eating their lunch, personal conversations (oops they forgot the recorder was on) and other incomprehensible noise. Not to mention, ESL doctors with heavy accents and very tired ER doctors after a long shift!

    At this time there is no vo

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    ictating their notes. It’s understandable they’re busy, and as their MT, I can surely forgive them but will the latest voice recognition software be as forgiving as me?

    Not likely.

    As a transcriptionist you will have typed through background noise, patients moaning, doctors eating their lunch, personal conversations (oops they forgot the recorder was on) and other incomprehensible noise. Not to mention, ESL doctors with heavy accents and very tired ER doctors after a long shift!

    At this time there is no vo

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    ot likely.

    As a transcriptionist you will have typed through background noise, patients moaning, doctors eating their lunch, personal conversations (oops they forgot the recorder was on) and other incomprehensible noise. Not to mention, ESL doctors with heavy accents and very tired ER doctors after a long shift!

    At this time there is no vo

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    ecorder was on) and other incomprehensible noise. Not to mention, ESL doctors with heavy accents and very tired ER doctors after a long shift!

    At this time there is no voice recognition software which can handle this type of voice recognition. It is impossible for the software to determine actual speech from mistakes in conversation, background noise, heavy accents, etc.

    So what does this mean for our future?

    Rumors of MTs being out of r a job have been around long before I became an MT. Eight years later, there are still no real advances in this field.

    Can voice recognition ever replace transcriptionists?

    Sure it can.

    If a doctor is willing to sit down and take the sufficient time to train his voice recognition software to recognize his voice and speech patterns (this takes time and is not done automatically), yes it is possible.

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