[{"data":1,"prerenderedAt":77},["ShallowReactive",2],{"pattern-apigw-lambda-healthscribe-sam":3},{"id":4,"title":5,"architectureURL":6,"cleanup":7,"contributors":12,"deploy":15,"description":19,"extension":20,"framework":21,"gitHub":22,"highlight":6,"introBox":28,"language":35,"level":36,"meta":37,"patternArch":38,"resources":64,"s3URL":6,"services":6,"stem":72,"testing":73,"videoId":6,"__hash__":76},"patterns\u002Fpatterns\u002Fapigw-lambda-healthscribe-sam.json","Amazon API Gateway to AWS Lambda to AWS HealthScribe using AWS SAM",null,{"text":8},[9,10,11],"Delete the Amazon S3 bucket content: \u003Ccode>aws s3 rm s3:\u002F\u002F{TranscribeNotesBucket} --recursive\u003C\u002Fcode>","Delete the stack: \u003Ccode>sam delete\u003C\u002Fcode>.","Delete Lambda Layer stack: \u003Ccode>bash delete_lambda_layer.sh\u003C\u002Fcode>.",[13,14],"content\u002Fcontributors\u002Fbiswanath-mukherjee.json","content\u002Fcontributors\u002Frakshith-rao.json",{"text":16},[17,18],"sam deploy --guided","bash create_lambda_layer.sh","How to use AWS HealthScribe API to automatically generate clinical notes from patient-clinician conversations in a serverless architecture.","json","AWS SAM",{"template":23},{"repoURL":24,"templateURL":25,"projectFolder":26,"templateFile":27},"https:\u002F\u002Fgithub.com\u002Faws-samples\u002Fserverless-patterns\u002Ftree\u002Fmain\u002Fapigw-lambda-healthscribe-sam","serverless-patterns\u002Fapigw-lambda-healthscribe-sam","apigw-lambda-healthscribe-sam","template.yaml",{"headline":29,"text":30},"How it works",[31,32,33,34],"Amazon API Gateway receives the HTTP POST request which triggers the AWS Lambda function.","The AWS Lambda function calls AWS HealthScribe \u003Ccode>start_medical_scribe_job\u003C\u002Fcode> API using boto3 library. The audio content to be analysed is stored in an Amazon S3 bucket.","AWS HealthScribe transcription job analyses the patient-clinician conversations audio content and generates clinical notes from it.","The output is uploaded into the Amazon S3 bucket.","Python","200",{},{"icon1":39,"icon2":44,"icon3":48,"icon4":52,"line1":56,"line2":60,"line3":62},{"x":40,"y":41,"service":42,"label":43},15,50,"apigw","Amazon API Gateway",{"x":45,"y":41,"service":46,"label":47},38,"lambda","AWS Lambda",{"x":49,"y":41,"service":50,"label":51},61,"healthlake","AWS HealthScribe",{"x":53,"y":41,"service":54,"label":55},84,"s3","S3 bucket",{"from":57,"to":58,"label":59},"icon1","icon2","",{"from":58,"to":61,"label":59},"icon3",{"from":61,"to":63,"label":59},"icon4",{"bullets":65},[66,69],{"text":67,"link":68},"AWS HealthScribe Developer Guide","https:\u002F\u002Fdocs.aws.amazon.com\u002Ftranscribe\u002Flatest\u002Fdg\u002Fhealth-scribe-job.html",{"text":70,"link":71},"Boto3 API Documentation for AWS HealthScribe - Start Medical Scribe Job","https:\u002F\u002Fboto3.amazonaws.com\u002Fv1\u002Fdocumentation\u002Fapi\u002Flatest\u002Freference\u002Fservices\u002Ftranscribe\u002Fclient\u002Fstart_medical_scribe_job.html","patterns\u002Fapigw-lambda-healthscribe-sam",{"text":74},[75],"See the GitHub repo for detailed testing instructions.","Ymb2ucqxd_zi2KE-ZBthPFMFTJeJiZFNMN9PCak_fdU",1778846882259]