Struct aws_sdk_transcribe::client::fluent_builders::StartMedicalTranscriptionJob

pub struct StartMedicalTranscriptionJob { /* private fields */ }

Fluent builder constructing a request to 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 Amazon Web Services Region where you are making your request. For a list of Amazon Web Services 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 Amazon Web Services 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.

Implementations

impl StartMedicalTranscriptionJob

pub async fn customize(
    self
) -> Result<CustomizableOperation<StartMedicalTranscriptionJob, AwsResponseRetryClassifier>, SdkError<StartMedicalTranscriptionJobError>>

Consume this builder, creating a customizable operation that can be modified before being sent. The operation’s inner http::Request can be modified as well.

pub async fn send(
    self
) -> Result<StartMedicalTranscriptionJobOutput, SdkError<StartMedicalTranscriptionJobError>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

pub fn medical_transcription_job_name(self, input: impl Into<String>) -> Self

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 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.

pub fn set_medical_transcription_job_name(self, input: Option<String>) -> Self

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 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.

pub fn language_code(self, input: LanguageCode) -> Self

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.

pub fn set_language_code(self, input: Option<LanguageCode>) -> Self

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.

pub fn media_sample_rate_hertz(self, input: i32) -> Self

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.

pub fn set_media_sample_rate_hertz(self, input: Option<i32>) -> Self

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.

pub fn media_format(self, input: MediaFormat) -> Self

Specify the format of your input media file.

pub fn set_media_format(self, input: Option<MediaFormat>) -> Self

Specify the format of your input media file.

pub fn media(self, input: Media) -> Self

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

pub fn set_media(self, input: Option<Media>) -> Self

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

pub fn output_bucket_name(self, input: impl Into<String>) -> Self

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 Amazon Web Services 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.

pub fn set_output_bucket_name(self, input: Option<String>) -> Self

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 Amazon Web Services 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.

pub fn output_key(self, input: impl Into<String>) -> Self

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.

pub fn set_output_key(self, input: Option<String>) -> Self

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.

pub fn output_encryption_kms_key_id(self, input: impl Into<String>) -> Self

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

If using a key located in the current Amazon Web Services 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 Amazon Web Services account than the current Amazon Web Services 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 request must have permission to use the specified KMS key.

pub fn set_output_encryption_kms_key_id(self, input: Option<String>) -> Self

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

If using a key located in the current Amazon Web Services 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 Amazon Web Services account than the current Amazon Web Services 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 request must have permission to use the specified KMS key.

pub fn kms_encryption_context(
    self,
    k: impl Into<String>,
    v: impl Into<String>
) -> Self

Adds a key-value pair to KMSEncryptionContext.

To override the contents of this collection use set_kms_encryption_context.

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.

pub fn set_kms_encryption_context(
    self,
    input: Option<HashMap<String, String>>
) -> Self

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.

pub fn settings(self, input: MedicalTranscriptionSetting) -> Self

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

pub fn set_settings(self, input: Option<MedicalTranscriptionSetting>) -> Self

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

pub fn content_identification_type(
    self,
    input: MedicalContentIdentificationType
) -> Self

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

pub fn set_content_identification_type(
    self,
    input: Option<MedicalContentIdentificationType>
) -> Self

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

pub fn specialty(self, input: Specialty) -> Self

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 .

pub fn set_specialty(self, input: Option<Specialty>) -> Self

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 .

pub fn type(self, input: Type) -> Self

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.

pub fn set_type(self, input: Option<Type>) -> Self

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.

pub fn tags(self, input: Tag) -> Self

Appends an item to Tags.

To override the contents of this collection use set_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.

pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

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.

Trait Implementations

impl Clone for StartMedicalTranscriptionJob

fn clone(&self) -> StartMedicalTranscriptionJob

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for StartMedicalTranscriptionJob

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.