StartMedicalTranscriptionJob - Transcribe

StartMedicalTranscriptionJob

Transcribes the audio from a medical dictation or conversation and applies any additional Request Parameters you choose to include in your request.

In addition to many of the standard transcription features, Amazon Transcribe Medical provides you with a robust medical vocabulary and, optionally, content identification, which adds flags to personal health information (PHI). To learn more about these features, refer to How Amazon Transcribe Medical works.

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

You must include the following parameters in your StartMedicalTranscriptionJob request:

  • region: The AWS Region where you are making your request. For a list of AWS Regions supported with Amazon Transcribe, refer to Amazon Transcribe endpoints and quotas.

  • MedicalTranscriptionJobName: A custom name you create for your transcription job that is unique within your AWS account.

  • Media (MediaFileUri): The Amazon S3 location of your media file.

  • LanguageCode: This must be en-US.

  • OutputBucketName: The Amazon S3 bucket where you want your transcript stored. If you want your output stored in a sub-folder of this bucket, you must also include OutputKey.

  • Specialty: This must be PRIMARYCARE.

  • Type: Choose whether your audio is a conversation or a dictation.

Request Syntax

{ "ContentIdentificationType": "string", "KMSEncryptionContext": { "string" : "string" }, "LanguageCode": "string", "Media": { "MediaFileUri": "string" }, "MediaFormat": "string", "MediaSampleRateHertz": number, "MedicalTranscriptionJobName": "string", "OutputBucketName": "string", "OutputEncryptionKMSKeyId": "string", "OutputKey": "string", "Settings": { "ChannelIdentification": boolean, "MaxAlternatives": number, "MaxSpeakerLabels": number, "ShowAlternatives": boolean, "ShowSpeakerLabels": boolean, "VocabularyName": "string" }, "Specialty": "string", "Tags": [ { "Key": "string", "Value": "string" } ], "Type": "string" }

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

The request accepts the following data in JSON format.

ContentIdentificationType

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

Type: String

Valid Values: PHI

Required: No

KMSEncryptionContext

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 AWS KMS encryption context and Asymmetric keys in AWS KMS.

Type: String to string map

Map Entries: Maximum number of 10 items.

Key Length Constraints: Minimum length of 1. Maximum length of 2000.

Key Pattern: .*\S.*

Value Length Constraints: Minimum length of 1. Maximum length of 2000.

Value Pattern: .*\S.*

Required: No

LanguageCode

The language code that represents the language spoken in the input media file. US English (en-US) is the only valid value for medical transcription jobs. Any other value you enter for language code results in a BadRequestException error.

Type: String

Valid Values: af-ZA | ar-AE | ar-SA | cy-GB | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | ga-IE | gd-GB | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN | zh-TW | th-TH | en-ZA | en-NZ

Required: Yes

Media

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

Type: Media object

Required: Yes

MediaFormat

Specify the format of your input media file.

Type: String

Valid Values: mp3 | mp4 | wav | flac | ogg | amr | webm

Required: No

MediaSampleRateHertz

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

If you don't specify the media sample rate, Amazon Transcribe Medical determines it for you. If you specify the sample rate, it must match the rate detected by Amazon Transcribe Medical; if there's a mismatch between the value you specify and the value detected, your job fails. Therefore, in most cases, it's advised to omit MediaSampleRateHertz and let Amazon Transcribe Medical determine the sample rate.

Type: Integer

Valid Range: Minimum value of 16000. Maximum value of 48000.

Required: No

MedicalTranscriptionJobName

A unique name, chosen by you, for your medical transcription job. The name you specify is also used as the default name of your transcription output file. If you want to specify a different name for your transcription output, use the OutputKey parameter.

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

Type: String

Length Constraints: Minimum length of 1. Maximum length of 200.

Pattern: ^[0-9a-zA-Z._-]+

Required: Yes

OutputBucketName

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

If you want your output to go to a sub-folder of this bucket, specify it using the OutputKey parameter; OutputBucketName only accepts the name of a bucket.

For example, if you want your output stored in S3://DOC-EXAMPLE-BUCKET, set OutputBucketName to DOC-EXAMPLE-BUCKET. However, if you want your output stored in S3://DOC-EXAMPLE-BUCKET/test-files/, set OutputBucketName to DOC-EXAMPLE-BUCKET and OutputKey to test-files/.

Note that Amazon Transcribe must have permission to use the specified location. You can change Amazon S3 permissions using the AWS Management Console. See also Permissions Required for IAM User Roles.

If you don't specify OutputBucketName, your transcript is placed in a service-managed Amazon S3 bucket and you are provided with a URI to access your transcript.

Type: String

Length Constraints: Maximum length of 64.

Pattern: [a-z0-9][\.\-a-z0-9]{1,61}[a-z0-9]

Required: Yes

OutputEncryptionKMSKeyId

The KMS key you want to use to encrypt your medical transcription output.

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

  1. Use the KMS key ID itself. For example, 1234abcd-12ab-34cd-56ef-1234567890ab.

  2. Use an alias for the KMS key ID. For example, alias/ExampleAlias.

  3. 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.

  4. 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 AWS account than the current AWS account, you can specify your KMS key in one of two ways:

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

  2. Use the ARN for the KMS key alias. For example, arn:aws:kms:region:account-ID:alias/ExampleAlias.

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

If you specify a KMS key to encrypt your output, you must also specify an output location using the OutputLocation parameter.

Note that the user making the StartCallAnalyticsJob request must have permission to use the specified KMS key.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 2048.

Pattern: ^[A-Za-z0-9][A-Za-z0-9:_/+=,@.-]{0,2048}$

Required: No

OutputKey

Use in combination with OutputBucketName to specify the output location of your transcript and, optionally, a unique name for your output file. The default name for your transcription output is the same as the name you specified for your medical transcription job (MedicalTranscriptionJobName).

Here are some examples of how you can use OutputKey:

  • If you specify 'DOC-EXAMPLE-BUCKET' as the OutputBucketName and 'my-transcript.json' as the OutputKey, your transcription output path is s3://DOC-EXAMPLE-BUCKET/my-transcript.json.

  • If you specify 'my-first-transcription' as the MedicalTranscriptionJobName, 'DOC-EXAMPLE-BUCKET' as the OutputBucketName, and 'my-transcript' as the OutputKey, your transcription output path is s3://DOC-EXAMPLE-BUCKET/my-transcript/my-first-transcription.json.

  • If you specify 'DOC-EXAMPLE-BUCKET' as the OutputBucketName and 'test-files/my-transcript.json' as the OutputKey, your transcription output path is s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript.json.

  • If you specify 'my-first-transcription' as the MedicalTranscriptionJobName, 'DOC-EXAMPLE-BUCKET' as the OutputBucketName, and 'test-files/my-transcript' as the OutputKey, your transcription output path is s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript/my-first-transcription.json.

If you specify the name of an Amazon S3 bucket sub-folder that doesn't exist, one is created for you.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 1024.

Pattern: [a-zA-Z0-9-_.!*'()/]{1,1024}$

Required: No

Settings

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

Type: MedicalTranscriptionSetting object

Required: No

Specialty

Specify the predominant medical specialty represented in your media. For batch transcriptions, PRIMARYCARE is the only valid value. If you require additional specialties, refer to StartMedicalStreamTranscription.

Type: String

Valid Values: PRIMARYCARE

Required: Yes

Tags

Adds one or more custom tags, each in the form of a key:value pair, to a new medical transcription job at the time you start this new job.

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

Type: Array of Tag objects

Array Members: Minimum number of 1 item. Maximum number of 200 items.

Required: No

Type

Specify whether your input media contains only one person (DICTATION) or contains a conversation between two people (CONVERSATION).

For example, DICTATION could be used for a medical professional wanting to transcribe voice memos; CONVERSATION could be used for transcribing the doctor-patient dialogue during the patient's office visit.

Type: String

Valid Values: CONVERSATION | DICTATION

Required: Yes

Response Syntax

{ "MedicalTranscriptionJob": { "CompletionTime": number, "ContentIdentificationType": "string", "CreationTime": number, "FailureReason": "string", "LanguageCode": "string", "Media": { "MediaFileUri": "string" }, "MediaFormat": "string", "MediaSampleRateHertz": number, "MedicalTranscriptionJobName": "string", "Settings": { "ChannelIdentification": boolean, "MaxAlternatives": number, "MaxSpeakerLabels": number, "ShowAlternatives": boolean, "ShowSpeakerLabels": boolean, "VocabularyName": "string" }, "Specialty": "string", "StartTime": number, "Tags": [ { "Key": "string", "Value": "string" } ], "Transcript": { "TranscriptFileUri": "string" }, "TranscriptionJobStatus": "string", "Type": "string" } }

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.

MedicalTranscriptionJob

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

Type: MedicalTranscriptionJob object

Errors

For information about the errors that are common to all actions, see Common Errors.

BadRequestException

Your request didn't pass one or more validation tests. This can occur when the entity you're trying to delete doesn't exist or if it's in a non-terminal state (such as IN PROGRESS). See the exception message field for more information.

HTTP Status Code: 400

ConflictException

A resource already exists with this name. Resource names must be unique within an AWS account.

HTTP Status Code: 400

InternalFailureException

There was an internal error. Check the error message, correct the issue, and try your request again.

HTTP Status Code: 500

LimitExceededException

You've either sent too many requests or your input file is too long. Wait before retrying your request, or use a smaller file and try your request again.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: