[ aws . transcribe ]

get-medical-transcription-job

Description

Provides information about the specified medical transcription job.

To view the status of the specified medical transcription job, check the TranscriptionJobStatus field. If the status is COMPLETED , the job is finished and you can find the results at the location specified in TranscriptFileUri . If the status is FAILED , FailureReason provides details on why your transcription job failed.

To get a list of your medical transcription jobs, use the operation.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  get-medical-transcription-job
--medical-transcription-job-name <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options

--medical-transcription-job-name (string)

The name of the medical transcription job you want information about. Job names are case sensitive.

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.

See ‘aws help’ for descriptions of global parameters.

Examples

Note

To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.

Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal’s quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .

To get information about a specific medical transcription job

The following get-medical-transcription-job example gets information about a specific medical transcription job. To access the transcription results, use the TranscriptFileUri parameter. If you’ve enabled additional features for the transcription job, you can see them in the Settings object. The Specialty parameter shows the medical specialty of the provider. The Type parameter indicates whether the speech in the transcription job is of a medical conversation, or a medical dictation.

aws transcribe get-medical-transcription-job \
    --medical-transcription-job-name vocabulary-dictation-medical-transcription-job

Output:

{
    "MedicalTranscriptionJob": {
        "MedicalTranscriptionJobName": "vocabulary-dictation-medical-transcription-job",
        "TranscriptionJobStatus": "COMPLETED",
        "LanguageCode": "en-US",
        "MediaSampleRateHertz": 48000,
        "MediaFormat": "mp4",
        "Media": {
            "MediaFileUri": "s3://Amazon-S3-Prefix/your-audio-file.file-extension"
        },
        "Transcript": {
            "TranscriptFileUri": "https://s3.Region.amazonaws.com/Amazon-S3-Prefix/vocabulary-dictation-medical-transcription-job.json"
        },
        "StartTime": "2020-09-21T21:17:27.045000+00:00",
        "CreationTime": "2020-09-21T21:17:27.016000+00:00",
        "CompletionTime": "2020-09-21T21:17:59.561000+00:00",
        "Settings": {
            "ChannelIdentification": false,
            "ShowAlternatives": false,
            "VocabularyName": "cli-medical-vocab-example"
        },
        "Specialty": "PRIMARYCARE",
        "Type": "DICTATION"
    }
}

For more information, see Batch Transcription in the Amazon Transcribe Developer Guide.

Output

MedicalTranscriptionJob -> (structure)

Provides detailed information about the specified medical transcription job, including job status and, if applicable, failure reason.

MedicalTranscriptionJobName -> (string)

The name of the medical transcription job. Job names are case sensitive and must be unique within an Amazon Web Services account.

TranscriptionJobStatus -> (string)

Provides the status of the specified medical transcription job.

If the status is COMPLETED , the job is finished and you can find the results at the location specified in TranscriptFileUri . If the status is FAILED , FailureReason provides details on why your transcription job failed.

LanguageCode -> (string)

The language code used to create your medical transcription job. US English (en-US ) is the only supported language for medical transcriptions.

MediaSampleRateHertz -> (integer)

The sample rate, in Hertz, of the audio track in your input media file.

MediaFormat -> (string)

The format of the input media file.

Media -> (structure)

Describes the Amazon S3 location of the media file you want to use in your request.

MediaFileUri -> (string)

The Amazon S3 location of the media file you want to transcribe. For example:

  • s3://DOC-EXAMPLE-BUCKET/my-media-file.flac

  • s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac

Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you’re making your transcription request.

RedactedMediaFileUri -> (string)

The Amazon S3 location of the media file you want to redact. For example:

  • s3://DOC-EXAMPLE-BUCKET/my-media-file.flac

  • s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac

Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you’re making your transcription request.

Warning

RedactedMediaFileUri is only supported for Call Analytics (StartCallAnalyticsJob ) transcription requests.

Transcript -> (structure)

Provides you with the Amazon S3 URI you can use to access your transcript.

TranscriptFileUri -> (string)

The Amazon S3 location of your transcript. You can use this URI to access or download your transcript.

If you included OutputBucketName in your transcription job request, this is the URI of that bucket. If you also included OutputKey in your request, your output is located in the path you specified in your request.

If you didn’t include OutputBucketName in your transcription job request, your transcript is stored in a service-managed bucket, and TranscriptFileUri provides you with a temporary URI you can use for secure access to your transcript.

Note

Temporary URIs for service-managed Amazon S3 buckets are only valid for 15 minutes. If you get an AccesDenied error, you can get a new temporary URI by running a GetTranscriptionJob or ListTranscriptionJob request.

StartTime -> (timestamp)

The date and time the specified medical transcription job began processing.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC . For example, 2022-05-04T12:32:58.789000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.

CreationTime -> (timestamp)

The date and time the specified medical transcription job request was made.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC . For example, 2022-05-04T12:32:58.761000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.

CompletionTime -> (timestamp)

The date and time the specified medical transcription job finished processing.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC . For example, 2022-05-04T12:33:13.922000-07:00 represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.

FailureReason -> (string)

If TranscriptionJobStatus is FAILED , FailureReason contains information about why the transcription job request failed.

The FailureReason field contains one of the following values:

  • Unsupported media format . The media format specified in MediaFormat isn’t valid. Refer to MediaFormat for a list of supported formats.

  • The media format provided does not match the detected media format . The media format specified in MediaFormat doesn’t match the format of the input file. Check the media format of your media file and correct the specified value.

  • Invalid sample rate for audio file . The sample rate specified in MediaSampleRateHertz isn’t valid. The sample rate must be between 16,000 and 48,000 Hertz.

  • The sample rate provided does not match the detected sample rate . The sample rate specified in MediaSampleRateHertz doesn’t match the sample rate detected in your input media file. Check the sample rate of your media file and correct the specified value.

  • Invalid file size: file size too large . The size of your media file is larger than what Amazon Transcribe can process. For more information, refer to Guidelines and quotas .

  • Invalid number of channels: number of channels too large . Your audio contains more channels than Amazon Transcribe is able to process. For more information, refer to Guidelines and quotas .

Settings -> (structure)

Specify additional optional settings in your request, including channel identification, alternative transcriptions, and speaker labeling; allows you to apply custom vocabularies to your medical transcription job.

ShowSpeakerLabels -> (boolean)

Enables speaker identification (diarization) in your transcription output. Speaker identification labels the speech from individual speakers in your media file.

If you enable ShowSpeakerLabels in your request, you must also include MaxSpeakerLabels .

You can’t include both ShowSpeakerLabels and ChannelIdentification in the same request. Including both parameters returns a BadRequestException .

For more information, see Identifying speakers (diarization) .

MaxSpeakerLabels -> (integer)

Specify the maximum number of speakers you want to identify in your media.

Note that if your media contains more speakers than the specified number, multiple speakers will be identified as a single speaker.

If you specify the MaxSpeakerLabels field, you must set the ShowSpeakerLabels field to true.

ChannelIdentification -> (boolean)

Enables channel identification in multi-channel audio.

Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript.

If you have multi-channel audio and do not enable channel identification, your audio is transcribed in a continuous manner and your transcript does not separate the speech by channel.

You can’t include both ShowSpeakerLabels and ChannelIdentification in the same request. Including both parameters returns a BadRequestException .

For more information, see Transcribing multi-channel audio .

ShowAlternatives -> (boolean)

To include alternative transcriptions within your transcription output, include ShowAlternatives in your transcription request.

If you include ShowAlternatives , you must also include MaxAlternatives , which is the maximum number of alternative transcriptions you want Amazon Transcribe Medical to generate.

For more information, see Alternative transcriptions .

MaxAlternatives -> (integer)

Indicate the maximum number of alternative transcriptions you want Amazon Transcribe Medical to include in your transcript.

If you select a number greater than the number of alternative transcriptions generated by Amazon Transcribe Medical, only the actual number of alternative transcriptions are included.

If you include MaxAlternatives in your request, you must also include ShowAlternatives with a value of true .

For more information, see Alternative transcriptions .

VocabularyName -> (string)

The name of the custom vocabulary you want to use when processing your medical transcription job. Vocabulary names are case sensitive.

The language of the specified vocabulary must match the language code you specify in your transcription request. If the languages don’t match, the vocabulary isn’t applied. There are no errors or warnings associated with a language mismatch. US English (en-US ) is the only valid language for Amazon Transcribe Medical.

ContentIdentificationType -> (string)

Labels all personal health information (PHI) identified in your transcript. For more information, see Identifying personal health information (PHI) in a transcription .

Specialty -> (string)

Describes the medical specialty represented in your media.

Type -> (string)

Indicates whether the input media is a dictation or a conversation, as specified in the StartMedicalTranscriptionJob request.

Tags -> (list)

The tags, each in the form of a key:value pair, assigned to the specified medical transcription job.

(structure)

Adds metadata, in the form of a key:value pair, to the specified resource.

For example, you could add the tag Department:Sales to a resource to indicate that it pertains to your organization’s sales department. You can also use tags for tag-based access control.

To learn more about tagging, see Tagging resources .

Key -> (string)

The first part of a key:value pair that forms a tag associated with a given resource. For example, in the tag Department:Sales , the key is ‘Department’.

Value -> (string)

The second part of a key:value pair that forms a tag associated with a given resource. For example, in the tag Department:Sales , the value is ‘Sales’.

Note that you can set the value of a tag to an empty string, but you can’t set the value of a tag to null. Omitting the tag value is the same as using an empty string.