Smaws_Client_Transcribe.StartMedicalScribeJobTranscribes 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.val request :
Smaws_Lib.Context.t ->
start_medical_scribe_job_request ->
(start_medical_scribe_job_response,
[> Smaws_Lib.Protocols.AwsJson.error
| `BadRequestException of bad_request_exception
| `ConflictException of conflict_exception
| `InternalFailureException of internal_failure_exception
| `LimitExceededException of limit_exceeded_exception ])
Stdlib.result