AWS CLI Command Reference

[ aws . transcribe ]

start-medical-scribe-job

Description

Transcribes patient-clinician conversations and generates clinical notes.

Amazon Web Services HealthScribe automatically provides rich conversation transcripts, identifies speaker roles, classifies dialogues, extracts medical terms, and generates preliminary clinical notes. To learn more about these features, refer to Amazon Web Services HealthScribe .

To make a StartMedicalScribeJob request, you must first upload your media file into an Amazon S3 bucket; you can then specify the Amazon S3 location of the file using the Media parameter.

You must include the following parameters in your StartMedicalTranscriptionJob request:

  • DataAccessRoleArn : The ARN of an IAM role with the these minimum permissions: read permission on input file Amazon S3 bucket specified in Media , write permission on the Amazon S3 bucket specified in OutputBucketName , and full permissions on the KMS key specified in OutputEncryptionKMSKeyId (if set). The role should also allow transcribe.amazonaws.com to assume it.
  • Media (MediaFileUri ): The Amazon S3 location of your media file.
  • MedicalScribeJobName : A custom name you create for your MedicalScribe job that is unique within your Amazon Web Services account.
  • OutputBucketName : The Amazon S3 bucket where you want your output files stored.
  • Settings : A MedicalScribeSettings obect that must set exactly one of ShowSpeakerLabels or ChannelIdentification to true. If ShowSpeakerLabels is true, MaxSpeakerLabels must also be set.
  • ChannelDefinitions : A MedicalScribeChannelDefinitions array should be set if and only if the ChannelIdentification value of Settings is set to true.

See also: AWS API Documentation

Synopsis

  start-medical-scribe-job
--medical-scribe-job-name <value>
--media <value>
--output-bucket-name <value>
[--output-encryption-kms-key-id <value>]
[--kms-encryption-context <value>]
--data-access-role-arn <value>
--settings <value>
[--channel-definitions <value>]
[--tags <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]
[--no-cli-pager]
[--cli-auto-prompt]
[--no-cli-auto-prompt]

Options

--medical-scribe-job-name (string)

A unique name, chosen by you, for your Medical Scribe job.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new job with the same name as an existing job, you get a ConflictException error.

--media (structure)

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

For information on supported media formats, refer to the MediaFormat parameter or the Media formats section in the Amazon S3 Developer Guide.

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 produces a redacted audio file in addition to a redacted transcript. It is only supported for Call Analytics (StartCallAnalyticsJob ) transcription requests.

Shorthand Syntax:

MediaFileUri=string,RedactedMediaFileUri=string

JSON Syntax:

{
  "MediaFileUri": "string",
  "RedactedMediaFileUri": "string"
}

--output-bucket-name (string)

The name of the Amazon S3 bucket where you want your Medical Scribe output stored. Do not include the S3:// prefix of the specified bucket.

Note that the role specified in the DataAccessRoleArn request parameter must have permission to use the specified location. You can change Amazon S3 permissions using the Amazon Web Services Management Console . See also Permissions Required for IAM User Roles .

--output-encryption-kms-key-id (string)

The KMS key you want to use to encrypt your Medical Scribe output.

If using a key located in the current Amazon Web Services account, you can specify your KMS key in one of four ways:

  • Use the KMS key ID itself. For example, 1234abcd-12ab-34cd-56ef-1234567890ab .
  • Use an alias for the KMS key ID. For example, alias/ExampleAlias .
  • Use the Amazon Resource Name (ARN) for the KMS key ID. For example, arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab .
  • Use the ARN for the KMS key alias. For example, arn:aws:kms:region:account-ID:alias/ExampleAlias .

If using a key located in a different Amazon Web Services account than the current Amazon Web Services account, you can specify your KMS key in one of two ways:

  • Use the ARN for the KMS key ID. For example, arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab .
  • Use the ARN for the KMS key alias. For example, arn:aws:kms:region:account-ID:alias/ExampleAlias .

If you do not specify an encryption key, your output is encrypted with the default Amazon S3 key (SSE-S3).

Note that the role specified in the DataAccessRoleArn request parameter must have permission to use the specified KMS key.

--kms-encryption-context (map)

A map of plain text, non-secret key:value pairs, known as encryption context pairs, that provide an added layer of security for your data. For more information, see KMS encryption context and Asymmetric keys in KMS .

key -> (string)

value -> (string)

Shorthand Syntax:

KeyName1=string,KeyName2=string

JSON Syntax:

{"string": "string"
  ...}

--data-access-role-arn (string)

The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files, write to the output bucket, and use your KMS key if supplied. If the role that you specify doesn’t have the appropriate permissions your request fails.

IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path . For example: arn:aws:iam::111122223333:role/Admin .

For more information, see IAM ARNs .

--settings (structure)

Makes it possible to control how your Medical Scribe job is processed using a MedicalScribeSettings object. Specify ChannelIdentification if ChannelDefinitions are set. Enabled ShowSpeakerLabels if ChannelIdentification and ChannelDefinitions are not set. One and only one of ChannelIdentification and ShowSpeakerLabels must be set. If ShowSpeakerLabels is set, MaxSpeakerLabels must also be set. Use Settings to specify a vocabulary or vocabulary filter or both using VocabularyName , VocabularyFilterName . VocabularyFilterMethod must be specified if VocabularyFilterName is set.

ShowSpeakerLabels -> (boolean)

Enables speaker partitioning (diarization) in your Medical Scribe output. Speaker partitioning labels the speech from individual speakers in your media file.

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

For more information, see Partitioning speakers (diarization) .

MaxSpeakerLabels -> (integer)

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

Note that if your media contains more speakers than the specified number, multiple speakers are treated 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.

For more information, see Transcribing multi-channel audio .

VocabularyName -> (string)

The name of the custom vocabulary you want to include in your Medical Scribe request. Custom vocabulary names are case sensitive.

VocabularyFilterName -> (string)

The name of the custom vocabulary filter you want to include in your Medical Scribe request. Custom vocabulary filter names are case sensitive.

Note that if you include VocabularyFilterName in your request, you must also include VocabularyFilterMethod .

VocabularyFilterMethod -> (string)

Specify how you want your custom vocabulary filter applied to your transcript.

To replace words with *** , choose mask .

To delete words, choose remove .

To flag words without changing them, choose tag .

Shorthand Syntax:

ShowSpeakerLabels=boolean,MaxSpeakerLabels=integer,ChannelIdentification=boolean,VocabularyName=string,VocabularyFilterName=string,VocabularyFilterMethod=string

JSON Syntax:

{
  "ShowSpeakerLabels": true|false,
  "MaxSpeakerLabels": integer,
  "ChannelIdentification": true|false,
  "VocabularyName": "string",
  "VocabularyFilterName": "string",
  "VocabularyFilterMethod": "remove"|"mask"|"tag"
}

--channel-definitions (list)

Makes it possible to specify which speaker is on which channel. For example, if the clinician is the first participant to speak, you would set ChannelId of the first ChannelDefinition in the list to 0 (to indicate the first channel) and ParticipantRole to CLINICIAN (to indicate that it’s the clinician speaking). Then you would set the ChannelId of the second ChannelDefinition in the list to 1 (to indicate the second channel) and ParticipantRole to PATIENT (to indicate that it’s the patient speaking).

(structure)

Indicates which speaker is on which channel. The options are CLINICIAN and PATIENT

ChannelId -> (integer)

Specify the audio channel you want to define.

ParticipantRole -> (string)

Specify the participant that you want to flag. The options are CLINICIAN and PATIENT

Shorthand Syntax:

ChannelId=integer,ParticipantRole=string ...

JSON Syntax:

[
  {
    "ChannelId": integer,
    "ParticipantRole": "PATIENT"|"CLINICIAN"
  }
  ...
]

--tags (list)

Adds one or more custom tags, each in the form of a key:value pair, to the Medica Scribe job.

To learn more about using tags with Amazon Transcribe, refer to Tagging resources .

(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.

Shorthand Syntax:

Key=string,Value=string ...

JSON Syntax:

[
  {
    "Key": "string",
    "Value": "string"
  }
  ...
]

--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.

Global Options

--debug (boolean)

Turn on debug logging.

--endpoint-url (string)

Override command’s default URL with the given URL.

--no-verify-ssl (boolean)

By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.

--no-paginate (boolean)

Disable automatic pagination. If automatic pagination is disabled, the AWS CLI will only make one call, for the first page of results.

--output (string)

The formatting style for command output.

  • json
  • text
  • table
  • yaml
  • yaml-stream

--query (string)

A JMESPath query to use in filtering the response data.

--profile (string)

Use a specific profile from your credential file.

--region (string)

The region to use. Overrides config/env settings.

--version (string)

Display the version of this tool.

--color (string)

Turn on/off color output.

  • on
  • off
  • auto

--no-sign-request (boolean)

Do not sign requests. Credentials will not be loaded if this argument is provided.

--ca-bundle (string)

The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.

--cli-read-timeout (int)

The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.

--cli-connect-timeout (int)

The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.

--cli-binary-format (string)

The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob fileb:// will always be treated as binary and use the file contents directly regardless of the cli-binary-format setting. When using file:// the file contents will need to properly formatted for the configured cli-binary-format.

  • base64
  • raw-in-base64-out

--no-cli-pager (boolean)

Disable cli pager for output.

--cli-auto-prompt (boolean)

Automatically prompt for CLI input parameters.

--no-cli-auto-prompt (boolean)

Disable automatically prompt for CLI input parameters.

Output

MedicalScribeJob -> (structure)

Provides detailed information about the current Medical Scribe job, including job status and, if applicable, failure reason.

MedicalScribeJobName -> (string)

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

MedicalScribeJobStatus -> (string)

Provides the status of the specified Medical Scribe job.

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

LanguageCode -> (string)

The language code used to create your Medical Scribe job. US English (en-US ) is the only supported language for Medical Scribe jobs.

Media -> (structure)

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

For information on supported media formats, refer to the MediaFormat parameter or the Media formats section in the Amazon S3 Developer Guide.

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 produces a redacted audio file in addition to a redacted transcript. It is only supported for Call Analytics (StartCallAnalyticsJob ) transcription requests.

MedicalScribeOutput -> (structure)

The location of the output of your Medical Scribe job. ClinicalDocumentUri holds the Amazon S3 URI for the Clinical Document and TranscriptFileUri holds the Amazon S3 URI for the Transcript.

TranscriptFileUri -> (string)

Holds the Amazon S3 URI for the Transcript.

ClinicalDocumentUri -> (string)

Holds the Amazon S3 URI for the Clinical Document.

StartTime -> (timestamp)

The date and time your Medical Scribe 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 Medical Scribe job that started processing at 12:32 PM UTC-7 on May 4, 2022.

CreationTime -> (timestamp)

The date and time the specified Medical Scribe 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 Medical Scribe job that started processing at 12:32 PM UTC-7 on May 4, 2022.

CompletionTime -> (timestamp)

The date and time the specified Medical Scribe job finished processing.

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 Medical Scribe job that finished processing at 12:32 PM UTC-7 on May 4, 2022.

FailureReason -> (string)

If MedicalScribeJobStatus is FAILED , FailureReason contains information about why the transcription job failed. See also: Common Errors .

Settings -> (structure)

Makes it possible to control how your Medical Scribe job is processed using a MedicalScribeSettings object. Specify ChannelIdentification if ChannelDefinitions are set. Enabled ShowSpeakerLabels if ChannelIdentification and ChannelDefinitions are not set. One and only one of ChannelIdentification and ShowSpeakerLabels must be set. If ShowSpeakerLabels is set, MaxSpeakerLabels must also be set. Use Settings to specify a vocabulary or vocabulary filter or both using VocabularyName , VocabularyFilterName . VocabularyFilterMethod must be specified if VocabularyFilterName is set.

ShowSpeakerLabels -> (boolean)

Enables speaker partitioning (diarization) in your Medical Scribe output. Speaker partitioning labels the speech from individual speakers in your media file.

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

For more information, see Partitioning speakers (diarization) .

MaxSpeakerLabels -> (integer)

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

Note that if your media contains more speakers than the specified number, multiple speakers are treated 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.

For more information, see Transcribing multi-channel audio .

VocabularyName -> (string)

The name of the custom vocabulary you want to include in your Medical Scribe request. Custom vocabulary names are case sensitive.

VocabularyFilterName -> (string)

The name of the custom vocabulary filter you want to include in your Medical Scribe request. Custom vocabulary filter names are case sensitive.

Note that if you include VocabularyFilterName in your request, you must also include VocabularyFilterMethod .

VocabularyFilterMethod -> (string)

Specify how you want your custom vocabulary filter applied to your transcript.

To replace words with *** , choose mask .

To delete words, choose remove .

To flag words without changing them, choose tag .

DataAccessRoleArn -> (string)

The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files, write to the output bucket, and use your KMS key if supplied. If the role that you specify doesn’t have the appropriate permissions your request fails.

IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path . For example: arn:aws:iam::111122223333:role/Admin .

For more information, see IAM ARNs .

ChannelDefinitions -> (list)

Makes it possible to specify which speaker is on which channel. For example, if the clinician is the first participant to speak, you would set ChannelId of the first ChannelDefinition in the list to 0 (to indicate the first channel) and ParticipantRole to CLINICIAN (to indicate that it’s the clinician speaking). Then you would set the ChannelId of the second ChannelDefinition in the list to 1 (to indicate the second channel) and ParticipantRole to PATIENT (to indicate that it’s the patient speaking).

(structure)

Indicates which speaker is on which channel. The options are CLINICIAN and PATIENT

ChannelId -> (integer)

Specify the audio channel you want to define.

ParticipantRole -> (string)

Specify the participant that you want to flag. The options are CLINICIAN and PATIENT

Tags -> (list)

Adds one or more custom tags, each in the form of a key:value pair, to the Medica Scribe job.

To learn more about using tags with Amazon Transcribe, refer to Tagging resources .

(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.

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