pub struct MedicalTranscriptionJob {Show 14 fields
pub completion_time: Option<f64>,
pub creation_time: Option<f64>,
pub failure_reason: Option<String>,
pub language_code: Option<String>,
pub media: Option<Media>,
pub media_format: Option<String>,
pub media_sample_rate_hertz: Option<i64>,
pub medical_transcription_job_name: Option<String>,
pub settings: Option<MedicalTranscriptionSetting>,
pub specialty: Option<String>,
pub start_time: Option<f64>,
pub transcript: Option<MedicalTranscript>,
pub transcription_job_status: Option<String>,
pub type_: Option<String>,
}Expand description
The data structure that containts the information for a medical transcription job.
Fields§
§completion_time: Option<f64>A timestamp that shows when the job was completed.
creation_time: Option<f64>A timestamp that shows when the job was created.
failure_reason: Option<String>If the TranscriptionJobStatus field is FAILED, this field contains information about why the job failed.
The FailureReason field contains one of the following values:
-
Unsupported media format- The media format specified in theMediaFormatfield of the request isn't valid. See the description of theMediaFormatfield for a list of valid values. -
The media format provided does not match the detected media format- The media format of the audio file doesn't match the format specified in theMediaFormatfield in the request. Check the media format of your media file and make sure the two values match. -
Invalid sample rate for audio file- The sample rate specified in theMediaSampleRateHertzof the request isn't valid. The sample rate must be between 8000 and 48000 Hertz. -
The sample rate provided does not match the detected sample rate- The sample rate in the audio file doesn't match the sample rate specified in theMediaSampleRateHertzfield in the request. Check the sample rate of your media file and make sure that the two values match. -
Invalid file size: file size too large- The size of your audio file is larger than what Amazon Transcribe Medical can process. For more information, see Guidlines and Quotas in the Amazon Transcribe Medical Guide -
Invalid number of channels: number of channels too large- Your audio contains more channels than Amazon Transcribe Medical is configured to process. To request additional channels, see Amazon Transcribe Medical Endpoints and Quotas in the Amazon Web Services General Reference
language_code: Option<String>The language code for the language spoken in the source audio file. US English (en-US) is the only supported language for medical transcriptions. Any other value you enter for language code results in a BadRequestException error.
media: Option<Media>§media_format: Option<String>The format of the input media file.
media_sample_rate_hertz: Option<i64>The sample rate, in Hertz, of the source audio containing medical information.
If you don't specify the sample rate, Amazon Transcribe Medical determines it for you. If you choose to specify the sample rate, it must match the rate detected by Amazon Transcribe Medical. In most cases, you should leave the MediaSampleHertz blank and let Amazon Transcribe Medical determine the sample rate.
medical_transcription_job_name: Option<String>The name for a given medical transcription job.
settings: Option<MedicalTranscriptionSetting>Object that contains object.
specialty: Option<String>The medical specialty of any clinicians providing a dictation or having a conversation. PRIMARYCARE is the only available setting for this object. This specialty enables you to generate transcriptions for the following medical fields:
-
Family Medicine
start_time: Option<f64>A timestamp that shows when the job started processing.
transcript: Option<MedicalTranscript>An object that contains the MedicalTranscript. The MedicalTranscript contains the TranscriptFileUri.
transcription_job_status: Option<String>The completion status of a medical transcription job.
type_: Option<String>The type of speech in the transcription job. CONVERSATION is generally used for patient-physician dialogues. DICTATION is the setting for physicians speaking their notes after seeing a patient. For more information, see how-it-works-med
Trait Implementations§
Source§impl Clone for MedicalTranscriptionJob
impl Clone for MedicalTranscriptionJob
Source§fn clone(&self) -> MedicalTranscriptionJob
fn clone(&self) -> MedicalTranscriptionJob
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source. Read more