AWS Comprehend Medical is a natural language processing service that makes it easy to use machine learning to extract relevant medical information from unstructured text. Using Amazon Comprehend Medical, you can quickly and accurately gather information, such as medical condition, medication, dosage, strength, and frequency from a variety of sources like doctors’ notes, clinical trial reports, and patient health records. Amazon Comprehend Medical can also link the detected information to medical ontologies such as ICD-10-CM or RxNorm so it can be used easily by downstream healthcare applications.
One of the important ways to improve patient care and accelerate clinical research is by understanding and analyzing the insights and relationships that are “trapped” in free-form medical text, including hospital admission notes and a patient’s medical history.
Today this is achieved by writing and maintaining a set of customized rules for natural language processing software, which are complicated to build, time-consuming to maintain, and fragile. A change to a single classification code name can impact dozens of hard-coded rules and failing to update a single one of them can result in missed or incorrect data. Machine learning can eliminate the risk with models that reliably understand the medical information in unstructured text, identify meaningful relationships, while continuously improving over-time.
Amazon Comprehend Medical uses advanced machine learning models to accurately and quickly identify medical information, such as medical conditions and medications, and determines their relationship to each other, for instance, medicine dosage and strength. Amazon Comprehend Medical can also link the detected information to medical ontologies such as ICD-10-CM or RxNorm.
You can also use the extracted medical information and their relationships to build applications for use cases like clinical decision support, revenue cycle management (medical coding), and clinical trial management. Because Amazon Comprehend Medical is HIPAA eligible and is built in to quickly identify protected health information (PHI), such as name, age, and medical record number, you can also use it to create applications that securely process, maintain, and transmit PHI.
Amazon Comprehend Medical is accessible through a simple API call, no machine learning expertise is required, no complicated rules to write, and no models to train. You only pay for what you use, and there are no minimum fees or upfront commitments.
Below are the cmdlets which are available with AWS Comprehend Medical
| CmdletName | ServiceOperation |
| Find-CMPMICD10CM | InferICD10CM |
| Find-CMPMMedicalEntity | DetectEntities |
| Find-CMPMMedicalEntityV2 | DetectEntitiesV2 |
| Find-CMPMPersonalHealthInformation | DetectPHI |
| Find-CMPMRxNorm | InferRxNorm |
| Get-CMPMEntitiesDetectionV2Job | DescribeEntitiesDetectionV2Job |
| Get-CMPMEntitiesDetectionV2JobList | ListEntitiesDetectionV2Jobs |
| Get-CMPMICD10CMInferenceJob | DescribeICD10CMInferenceJob |
| Get-CMPMICD10CMInferenceJobList | ListICD10CMInferenceJobs |
| Get-CMPMPersonalHealthInformationDetectionJob | DescribePHIDetectionJob |
| Get-CMPMPersonalHealthInformationDetectionJobList | ListPHIDetectionJobs |
| Get-CMPMRxNormInferenceJob | DescribeRxNormInferenceJob |
| Get-CMPMRxNormInferenceJobList | ListRxNormInferenceJobs |
| Start-CMPMEntitiesDetectionV2Job | StartEntitiesDetectionV2Job |
| Start-CMPMICD10CMInferenceJob | StartICD10CMInferenceJob |
| Start-CMPMPersonalHealthInformationDetectionJob | StartPHIDetectionJob |
| Start-CMPMRxNormInferenceJob | StartRxNormInferenceJob |
| Stop-CMPMEntitiesDetectionV2Job | StopEntitiesDetectionV2Job |
| Stop-CMPMICD10CMInferenceJob | StopICD10CMInferenceJob |
| Stop-CMPMPersonalHealthInformationDetectionJob | StopPHIDetectionJob |
| Stop-CMPMRxNormInferenceJob | StopRxNormInferenceJob |
You can also check other AWS Services, and each services cmdlets we are providing.