AWS Comprehend Medical 2018-10-30
- Client: Aws\ComprehendMedical\ComprehendMedicalClient
- Service ID: comprehendmedical
- Version: 2018-10-30
This page describes the parameters and results for the operations of the AWS Comprehend Medical (2018-10-30), and shows how to use the Aws\ComprehendMedical\ComprehendMedicalClient object to call the described operations. This documentation is specific to the 2018-10-30 API version of the service.
Operation Summary
Each of the following operations can be created from a client using
$client->getCommand('CommandName'), where "CommandName" is the
name of one of the following operations. Note: a command is a value that
encapsulates an operation and the parameters used to create an HTTP request.
You can also create and send a command immediately using the magic methods
available on a client object: $client->commandName(/* parameters */).
You can send the command asynchronously (returning a promise) by appending the
word "Async" to the operation name: $client->commandNameAsync(/* parameters */).
- DescribeEntitiesDetectionV2Job ( array $params = [] )
Gets the properties associated with a medical entities detection job.
- DescribePHIDetectionJob ( array $params = [] )
Gets the properties associated with a protected health information (PHI) detection job.
- DetectEntities ( array $params = [] )
The DetectEntities operation is deprecated.
- DetectEntitiesV2 ( array $params = [] )
Inspects the clinical text for a variety of medical entities and returns specific information about them such as entity category, location, and confidence score on that information.
- DetectPHI ( array $params = [] )
Inspects the clinical text for protected health information (PHI) entities and entity category, location, and confidence score on that information.
- InferICD10CM ( array $params = [] )
InferICD10CM detects medical conditions as entities listed in a patient record and links those entities to normalized concept identifiers in the ICD-10-CM knowledge base from the Centers for Disease Control.
- InferRxNorm ( array $params = [] )
InferRxNorm detects medications as entities listed in a patient record and links to the normalized concept identifiers in the RxNorm database from the National Library of Medicine.
- ListEntitiesDetectionV2Jobs ( array $params = [] )
Gets a list of medical entity detection jobs that you have submitted.
- ListPHIDetectionJobs ( array $params = [] )
Gets a list of protected health information (PHI) detection jobs that you have submitted.
- StartEntitiesDetectionV2Job ( array $params = [] )
Starts an asynchronous medical entity detection job for a collection of documents.
- StartPHIDetectionJob ( array $params = [] )
Starts an asynchronous job to detect protected health information (PHI).
- StopEntitiesDetectionV2Job ( array $params = [] )
Stops a medical entities detection job in progress.
- StopPHIDetectionJob ( array $params = [] )
Stops a protected health information (PHI) detection job in progress.
Operations
DescribeEntitiesDetectionV2Job
$result = $client->describeEntitiesDetectionV2Job([/* ... */]); $promise = $client->describeEntitiesDetectionV2JobAsync([/* ... */]);
Gets the properties associated with a medical entities detection job. Use this operation to get the status of a detection job.
Parameter Syntax
$result = $client->describeEntitiesDetectionV2Job([
'JobId' => '<string>', // REQUIRED
]);
Parameter Details
Members
Result Syntax
[
'ComprehendMedicalAsyncJobProperties' => [
'DataAccessRoleArn' => '<string>',
'EndTime' => <DateTime>,
'ExpirationTime' => <DateTime>,
'InputDataConfig' => [
'S3Bucket' => '<string>',
'S3Key' => '<string>',
],
'JobId' => '<string>',
'JobName' => '<string>',
'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|PARTIAL_SUCCESS|FAILED|STOP_REQUESTED|STOPPED',
'KMSKey' => '<string>',
'LanguageCode' => 'en',
'ManifestFilePath' => '<string>',
'Message' => '<string>',
'ModelVersion' => '<string>',
'OutputDataConfig' => [
'S3Bucket' => '<string>',
'S3Key' => '<string>',
],
'SubmitTime' => <DateTime>,
],
]
Result Details
Members
- ComprehendMedicalAsyncJobProperties
-
- Type: ComprehendMedicalAsyncJobProperties structure
An object that contains the properties associated with a detection job.
Errors
-
The request that you made is invalid. Check your request to determine why it's invalid and then retry the request.
-
You have made too many requests within a short period of time. Wait for a short time and then try your request again. Contact customer support for more information about a service limit increase.
-
The resource identified by the specified Amazon Resource Name (ARN) was not found. Check the ARN and try your request again.
-
An internal server error occurred. Retry your request.
DescribePHIDetectionJob
$result = $client->describePHIDetectionJob([/* ... */]); $promise = $client->describePHIDetectionJobAsync([/* ... */]);
Gets the properties associated with a protected health information (PHI) detection job. Use this operation to get the status of a detection job.
Parameter Syntax
$result = $client->describePHIDetectionJob([
'JobId' => '<string>', // REQUIRED
]);
Parameter Details
Members
Result Syntax
[
'ComprehendMedicalAsyncJobProperties' => [
'DataAccessRoleArn' => '<string>',
'EndTime' => <DateTime>,
'ExpirationTime' => <DateTime>,
'InputDataConfig' => [
'S3Bucket' => '<string>',
'S3Key' => '<string>',
],
'JobId' => '<string>',
'JobName' => '<string>',
'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|PARTIAL_SUCCESS|FAILED|STOP_REQUESTED|STOPPED',
'KMSKey' => '<string>',
'LanguageCode' => 'en',
'ManifestFilePath' => '<string>',
'Message' => '<string>',
'ModelVersion' => '<string>',
'OutputDataConfig' => [
'S3Bucket' => '<string>',
'S3Key' => '<string>',
],
'SubmitTime' => <DateTime>,
],
]
Result Details
Members
- ComprehendMedicalAsyncJobProperties
-
- Type: ComprehendMedicalAsyncJobProperties structure
An object that contains the properties associated with a detection job.
Errors
-
The request that you made is invalid. Check your request to determine why it's invalid and then retry the request.
-
You have made too many requests within a short period of time. Wait for a short time and then try your request again. Contact customer support for more information about a service limit increase.
-
The resource identified by the specified Amazon Resource Name (ARN) was not found. Check the ARN and try your request again.
-
An internal server error occurred. Retry your request.
DetectEntities
$result = $client->detectEntities([/* ... */]); $promise = $client->detectEntitiesAsync([/* ... */]);
The DetectEntities operation is deprecated. You should use the DetectEntitiesV2 operation instead.
Inspects the clinical text for a variety of medical entities and returns specific information about them such as entity category, location, and confidence score on that information .
Parameter Syntax
$result = $client->detectEntities([
'Text' => '<string>', // REQUIRED
]);
Parameter Details
Members
Result Syntax
[
'Entities' => [
[
'Attributes' => [
[
'BeginOffset' => <integer>,
'EndOffset' => <integer>,
'Id' => <integer>,
'RelationshipScore' => <float>,
'Score' => <float>,
'Text' => '<string>',
'Traits' => [
[
'Name' => 'SIGN|SYMPTOM|DIAGNOSIS|NEGATION',
'Score' => <float>,
],
// ...
],
'Type' => 'NAME|DOSAGE|ROUTE_OR_MODE|FORM|FREQUENCY|DURATION|GENERIC_NAME|BRAND_NAME|STRENGTH|RATE|ACUITY|TEST_NAME|TEST_VALUE|TEST_UNITS|PROCEDURE_NAME|TREATMENT_NAME|DATE|AGE|CONTACT_POINT|EMAIL|IDENTIFIER|URL|ADDRESS|PROFESSION|SYSTEM_ORGAN_SITE|DIRECTION|QUALITY|QUANTITY',
],
// ...
],
'BeginOffset' => <integer>,
'Category' => 'MEDICATION|MEDICAL_CONDITION|PROTECTED_HEALTH_INFORMATION|TEST_TREATMENT_PROCEDURE|ANATOMY',
'EndOffset' => <integer>,
'Id' => <integer>,
'Score' => <float>,
'Text' => '<string>',
'Traits' => [
[
'Name' => 'SIGN|SYMPTOM|DIAGNOSIS|NEGATION',
'Score' => <float>,
],
// ...
],
'Type' => 'NAME|DOSAGE|ROUTE_OR_MODE|FORM|FREQUENCY|DURATION|GENERIC_NAME|BRAND_NAME|STRENGTH|RATE|ACUITY|TEST_NAME|TEST_VALUE|TEST_UNITS|PROCEDURE_NAME|TREATMENT_NAME|DATE|AGE|CONTACT_POINT|EMAIL|IDENTIFIER|URL|ADDRESS|PROFESSION|SYSTEM_ORGAN_SITE|DIRECTION|QUALITY|QUANTITY',
],
// ...
],
'ModelVersion' => '<string>',
'PaginationToken' => '<string>',
'UnmappedAttributes' => [
[
'Attribute' => [
'BeginOffset' => <integer>,
'EndOffset' => <integer>,
'Id' => <integer>,
'RelationshipScore' => <float>,
'Score' => <float>,
'Text' => '<string>',
'Traits' => [
[
'Name' => 'SIGN|SYMPTOM|DIAGNOSIS|NEGATION',
'Score' => <float>,
],
// ...
],
'Type' => 'NAME|DOSAGE|ROUTE_OR_MODE|FORM|FREQUENCY|DURATION|GENERIC_NAME|BRAND_NAME|STRENGTH|RATE|ACUITY|TEST_NAME|TEST_VALUE|TEST_UNITS|PROCEDURE_NAME|TREATMENT_NAME|DATE|AGE|CONTACT_POINT|EMAIL|IDENTIFIER|URL|ADDRESS|PROFESSION|SYSTEM_ORGAN_SITE|DIRECTION|QUALITY|QUANTITY',
],
'Type' => 'MEDICATION|MEDICAL_CONDITION|PROTECTED_HEALTH_INFORMATION|TEST_TREATMENT_PROCEDURE|ANATOMY',
],
// ...
],
]
Result Details
Members
- Entities
-
- Required: Yes
- Type: Array of Entity structures
The collection of medical entities extracted from the input text and their associated information. For each entity, the response provides the entity text, the entity category, where the entity text begins and ends, and the level of confidence that Amazon Comprehend Medical has in the detection and analysis. Attributes and traits of the entity are also returned.
- ModelVersion
-
- Required: Yes
- Type: string
The version of the model used to analyze the documents. The version number looks like X.X.X. You can use this information to track the model used for a particular batch of documents.
- PaginationToken
-
- Type: string
If the result of the previous request to
DetectEntitieswas truncated, include thePaginationTokento fetch the next page of entities. - UnmappedAttributes
-
- Type: Array of UnmappedAttribute structures
Attributes extracted from the input text that we were unable to relate to an entity.
Errors
-
An internal server error occurred. Retry your request.
-
The Amazon Comprehend Medical service is temporarily unavailable. Please wait and then retry your request.
-
You have made too many requests within a short period of time. Wait for a short time and then try your request again. Contact customer support for more information about a service limit increase.
-
The request that you made is invalid. Check your request to determine why it's invalid and then retry the request.
-
The input text was not in valid UTF-8 character encoding. Check your text then retry your request.
-
TextSizeLimitExceededException:
The size of the text you submitted exceeds the size limit. Reduce the size of the text or use a smaller document and then retry your request.
DetectEntitiesV2
$result = $client->detectEntitiesV2([/* ... */]); $promise = $client->detectEntitiesV2Async([/* ... */]);
Inspects the clinical text for a variety of medical entities and returns specific information about them such as entity category, location, and confidence score on that information.
The DetectEntitiesV2 operation replaces the DetectEntities operation. This new action uses a different model for determining the entities in your medical text and changes the way that some entities are returned in the output. You should use the DetectEntitiesV2 operation in all new applications.
The DetectEntitiesV2 operation returns the Acuity and Direction entities as attributes instead of types.
Parameter Syntax
$result = $client->detectEntitiesV2([
'Text' => '<string>', // REQUIRED
]);
Parameter Details
Members
Result Syntax
[
'Entities' => [
[
'Attributes' => [
[
'BeginOffset' => <integer>,
'EndOffset' => <integer>,
'Id' => <integer>,
'RelationshipScore' => <float>,
'Score' => <float>,
'Text' => '<string>',
'Traits' => [
[
'Name' => 'SIGN|SYMPTOM|DIAGNOSIS|NEGATION',
'Score' => <float>,
],
// ...
],
'Type' => 'NAME|DOSAGE|ROUTE_OR_MODE|FORM|FREQUENCY|DURATION|GENERIC_NAME|BRAND_NAME|STRENGTH|RATE|ACUITY|TEST_NAME|TEST_VALUE|TEST_UNITS|PROCEDURE_NAME|TREATMENT_NAME|DATE|AGE|CONTACT_POINT|EMAIL|IDENTIFIER|URL|ADDRESS|PROFESSION|SYSTEM_ORGAN_SITE|DIRECTION|QUALITY|QUANTITY',
],
// ...
],
'BeginOffset' => <integer>,
'Category' => 'MEDICATION|MEDICAL_CONDITION|PROTECTED_HEALTH_INFORMATION|TEST_TREATMENT_PROCEDURE|ANATOMY',
'EndOffset' => <integer>,
'Id' => <integer>,
'Score' => <float>,
'Text' => '<string>',
'Traits' => [
[
'Name' => 'SIGN|SYMPTOM|DIAGNOSIS|NEGATION',
'Score' => <float>,
],
// ...
],
'Type' => 'NAME|DOSAGE|ROUTE_OR_MODE|FORM|FREQUENCY|DURATION|GENERIC_NAME|BRAND_NAME|STRENGTH|RATE|ACUITY|TEST_NAME|TEST_VALUE|TEST_UNITS|PROCEDURE_NAME|TREATMENT_NAME|DATE|AGE|CONTACT_POINT|EMAIL|IDENTIFIER|URL|ADDRESS|PROFESSION|SYSTEM_ORGAN_SITE|DIRECTION|QUALITY|QUANTITY',
],
// ...
],
'ModelVersion' => '<string>',
'PaginationToken' => '<string>',
'UnmappedAttributes' => [
[
'Attribute' => [
'BeginOffset' => <integer>,
'EndOffset' => <integer>,
'Id' => <integer>,
'RelationshipScore' => <float>,
'Score' => <float>,
'Text' => '<string>',
'Traits' => [
[
'Name' => 'SIGN|SYMPTOM|DIAGNOSIS|NEGATION',
'Score' => <float>,
],
// ...
],
'Type' => 'NAME|DOSAGE|ROUTE_OR_MODE|FORM|FREQUENCY|DURATION|GENERIC_NAME|BRAND_NAME|STRENGTH|RATE|ACUITY|TEST_NAME|TEST_VALUE|TEST_UNITS|PROCEDURE_NAME|TREATMENT_NAME|DATE|AGE|CONTACT_POINT|EMAIL|IDENTIFIER|URL|ADDRESS|PROFESSION|SYSTEM_ORGAN_SITE|DIRECTION|QUALITY|QUANTITY',
],
'Type' => 'MEDICATION|MEDICAL_CONDITION|PROTECTED_HEALTH_INFORMATION|TEST_TREATMENT_PROCEDURE|ANATOMY',
],
// ...
],
]
Result Details
Members
- Entities
-
- Required: Yes
- Type: Array of Entity structures
The collection of medical entities extracted from the input text and their associated information. For each entity, the response provides the entity text, the entity category, where the entity text begins and ends, and the level of confidence in the detection and analysis. Attributes and traits of the entity are also returned.
- ModelVersion
-
- Required: Yes
- Type: string
The version of the model used to analyze the documents. The version number looks like X.X.X. You can use this information to track the model used for a particular batch of documents.
- PaginationToken
-
- Type: string
If the result to the
DetectEntitiesV2operation was truncated, include thePaginationTokento fetch the next page of entities. - UnmappedAttributes
-
- Type: Array of UnmappedAttribute structures
Attributes extracted from the input text that couldn't be related to an entity.
Errors
-
An internal server error occurred. Retry your request.
-
The Amazon Comprehend Medical service is temporarily unavailable. Please wait and then retry your request.
-
You have made too many requests within a short period of time. Wait for a short time and then try your request again. Contact customer support for more information about a service limit increase.
-
The request that you made is invalid. Check your request to determine why it's invalid and then retry the request.
-
The input text was not in valid UTF-8 character encoding. Check your text then retry your request.
-
TextSizeLimitExceededException:
The size of the text you submitted exceeds the size limit. Reduce the size of the text or use a smaller document and then retry your request.
DetectPHI
$result = $client->detectPHI([/* ... */]); $promise = $client->detectPHIAsync([/* ... */]);
Inspects the clinical text for protected health information (PHI) entities and entity category, location, and confidence score on that information.
Parameter Syntax
$result = $client->detectPHI([
'Text' => '<string>', // REQUIRED
]);
Parameter Details
Members
Result Syntax
[
'Entities' => [
[
'Attributes' => [
[
'BeginOffset' => <integer>,
'EndOffset' => <integer>,
'Id' => <integer>,
'RelationshipScore' => <float>,
'Score' => <float>,
'Text' => '<string>',
'Traits' => [
[
'Name' => 'SIGN|SYMPTOM|DIAGNOSIS|NEGATION',
'Score' => <float>,
],
// ...
],
'Type' => 'NAME|DOSAGE|ROUTE_OR_MODE|FORM|FREQUENCY|DURATION|GENERIC_NAME|BRAND_NAME|STRENGTH|RATE|ACUITY|TEST_NAME|TEST_VALUE|TEST_UNITS|PROCEDURE_NAME|TREATMENT_NAME|DATE|AGE|CONTACT_POINT|EMAIL|IDENTIFIER|URL|ADDRESS|PROFESSION|SYSTEM_ORGAN_SITE|DIRECTION|QUALITY|QUANTITY',
],
// ...
],
'BeginOffset' => <integer>,
'Category' => 'MEDICATION|MEDICAL_CONDITION|PROTECTED_HEALTH_INFORMATION|TEST_TREATMENT_PROCEDURE|ANATOMY',
'EndOffset' => <integer>,
'Id' => <integer>,
'Score' => <float>,
'Text' => '<string>',
'Traits' => [
[
'Name' => 'SIGN|SYMPTOM|DIAGNOSIS|NEGATION',
'Score' => <float>,
],
// ...
],
'Type' => 'NAME|DOSAGE|ROUTE_OR_MODE|FORM|FREQUENCY|DURATION|GENERIC_NAME|BRAND_NAME|STRENGTH|RATE|ACUITY|TEST_NAME|TEST_VALUE|TEST_UNITS|PROCEDURE_NAME|TREATMENT_NAME|DATE|AGE|CONTACT_POINT|EMAIL|IDENTIFIER|URL|ADDRESS|PROFESSION|SYSTEM_ORGAN_SITE|DIRECTION|QUALITY|QUANTITY',
],
// ...
],
'ModelVersion' => '<string>',
'PaginationToken' => '<string>',
]
Result Details
Members
- Entities
-
- Required: Yes
- Type: Array of Entity structures
The collection of PHI entities extracted from the input text and their associated information. For each entity, the response provides the entity text, the entity category, where the entity text begins and ends, and the level of confidence that Amazon Comprehend Medical has in its detection.
- ModelVersion
-
- Required: Yes
- Type: string
The version of the model used to analyze the documents. The version number looks like X.X.X. You can use this information to track the model used for a particular batch of documents.
- PaginationToken
-
- Type: string
If the result of the previous request to
DetectPHIwas truncated, include thePaginationTokento fetch the next page of PHI entities.
Errors
-
An internal server error occurred. Retry your request.
-
The Amazon Comprehend Medical service is temporarily unavailable. Please wait and then retry your request.
-
You have made too many requests within a short period of time. Wait for a short time and then try your request again. Contact customer support for more information about a service limit increase.
-
The request that you made is invalid. Check your request to determine why it's invalid and then retry the request.
-
The input text was not in valid UTF-8 character encoding. Check your text then retry your request.
-
TextSizeLimitExceededException:
The size of the text you submitted exceeds the size limit. Reduce the size of the text or use a smaller document and then retry your request.
InferICD10CM
$result = $client->inferICD10CM([/* ... */]); $promise = $client->inferICD10CMAsync([/* ... */]);
InferICD10CM detects medical conditions as entities listed in a patient record and links those entities to normalized concept identifiers in the ICD-10-CM knowledge base from the Centers for Disease Control.
Parameter Syntax
$result = $client->inferICD10CM([
'Text' => '<string>', // REQUIRED
]);
Parameter Details
Members
Result Syntax
[
'Entities' => [
[
'Attributes' => [
[
'BeginOffset' => <integer>,
'EndOffset' => <integer>,
'Id' => <integer>,
'RelationshipScore' => <float>,
'Score' => <float>,
'Text' => '<string>',
'Traits' => [
[
'Name' => 'NEGATION|DIAGNOSIS|SIGN|SYMPTOM',
'Score' => <float>,
],
// ...
],
'Type' => 'ACUITY|DIRECTION|SYSTEM_ORGAN_SITE|QUALITY|QUANTITY',
],
// ...
],
'BeginOffset' => <integer>,
'Category' => 'MEDICAL_CONDITION',
'EndOffset' => <integer>,
'ICD10CMConcepts' => [
[
'Code' => '<string>',
'Description' => '<string>',
'Score' => <float>,
],
// ...
],
'Id' => <integer>,
'Score' => <float>,
'Text' => '<string>',
'Traits' => [
[
'Name' => 'NEGATION|DIAGNOSIS|SIGN|SYMPTOM',
'Score' => <float>,
],
// ...
],
'Type' => 'DX_NAME',
],
// ...
],
'ModelVersion' => '<string>',
'PaginationToken' => '<string>',
]
Result Details
Members
- Entities
-
- Required: Yes
- Type: Array of ICD10CMEntity structures
The medical conditions detected in the text linked to ICD-10-CM concepts. If the action is successful, the service sends back an HTTP 200 response, as well as the entities detected.
- ModelVersion
-
- Type: string
The version of the model used to analyze the documents, in the format n.n.n You can use this information to track the model used for a particular batch of documents.
- PaginationToken
-
- Type: string
If the result of the previous request to
InferICD10CMwas truncated, include thePaginationTokento fetch the next page of medical condition entities.
Errors
-
An internal server error occurred. Retry your request.
-
The Amazon Comprehend Medical service is temporarily unavailable. Please wait and then retry your request.
-
You have made too many requests within a short period of time. Wait for a short time and then try your request again. Contact customer support for more information about a service limit increase.
-
The request that you made is invalid. Check your request to determine why it's invalid and then retry the request.
-
The input text was not in valid UTF-8 character encoding. Check your text then retry your request.
-
TextSizeLimitExceededException:
The size of the text you submitted exceeds the size limit. Reduce the size of the text or use a smaller document and then retry your request.
InferRxNorm
$result = $client->inferRxNorm([/* ... */]); $promise = $client->inferRxNormAsync([/* ... */]);
InferRxNorm detects medications as entities listed in a patient record and links to the normalized concept identifiers in the RxNorm database from the National Library of Medicine.
Parameter Syntax
$result = $client->inferRxNorm([
'Text' => '<string>', // REQUIRED
]);
Parameter Details
Members
Result Syntax
[
'Entities' => [
[
'Attributes' => [
[
'BeginOffset' => <integer>,
'EndOffset' => <integer>,
'Id' => <integer>,
'RelationshipScore' => <float>,
'Score' => <float>,
'Text' => '<string>',
'Traits' => [
[
'Name' => 'NEGATION',
'Score' => <float>,
],
// ...
],
'Type' => 'DOSAGE|DURATION|FORM|FREQUENCY|RATE|ROUTE_OR_MODE|STRENGTH',
],
// ...
],
'BeginOffset' => <integer>,
'Category' => 'MEDICATION',
'EndOffset' => <integer>,
'Id' => <integer>,
'RxNormConcepts' => [
[
'Code' => '<string>',
'Description' => '<string>',
'Score' => <float>,
],
// ...
],
'Score' => <float>,
'Text' => '<string>',
'Traits' => [
[
'Name' => 'NEGATION',
'Score' => <float>,
],
// ...
],
'Type' => 'BRAND_NAME|GENERIC_NAME',
],
// ...
],
'ModelVersion' => '<string>',
'PaginationToken' => '<string>',
]
Result Details
Members
- Entities
-
- Required: Yes
- Type: Array of RxNormEntity structures
The medication entities detected in the text linked to RxNorm concepts. If the action is successful, the service sends back an HTTP 200 response, as well as the entities detected.
- ModelVersion
-
- Type: string
The version of the model used to analyze the documents, in the format n.n.n You can use this information to track the model used for a particular batch of documents.
- PaginationToken
-
- Type: string
If the result of the previous request to
InferRxNormwas truncated, include thePaginationTokento fetch the next page of medication entities.
Errors
-
An internal server error occurred. Retry your request.
-
The Amazon Comprehend Medical service is temporarily unavailable. Please wait and then retry your request.
-
You have made too many requests within a short period of time. Wait for a short time and then try your request again. Contact customer support for more information about a service limit increase.
-
The request that you made is invalid. Check your request to determine why it's invalid and then retry the request.
-
The input text was not in valid UTF-8 character encoding. Check your text then retry your request.
-
TextSizeLimitExceededException:
The size of the text you submitted exceeds the size limit. Reduce the size of the text or use a smaller document and then retry your request.
ListEntitiesDetectionV2Jobs
$result = $client->listEntitiesDetectionV2Jobs([/* ... */]); $promise = $client->listEntitiesDetectionV2JobsAsync([/* ... */]);
Gets a list of medical entity detection jobs that you have submitted.
Parameter Syntax
$result = $client->listEntitiesDetectionV2Jobs([
'Filter' => [
'JobName' => '<string>',
'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|PARTIAL_SUCCESS|FAILED|STOP_REQUESTED|STOPPED',
'SubmitTimeAfter' => <integer || string || DateTime>,
'SubmitTimeBefore' => <integer || string || DateTime>,
],
'MaxResults' => <integer>,
'NextToken' => '<string>',
]);
Parameter Details
Members
- Filter
-
- Type: ComprehendMedicalAsyncJobFilter structure
Filters the jobs that are returned. You can filter jobs based on their names, status, or the date and time that they were submitted. You can only set one filter at a time.
- MaxResults
-
- Type: int
The maximum number of results to return in each page. The default is 100.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Result Syntax
[
'ComprehendMedicalAsyncJobPropertiesList' => [
[
'DataAccessRoleArn' => '<string>',
'EndTime' => <DateTime>,
'ExpirationTime' => <DateTime>,
'InputDataConfig' => [
'S3Bucket' => '<string>',
'S3Key' => '<string>',
],
'JobId' => '<string>',
'JobName' => '<string>',
'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|PARTIAL_SUCCESS|FAILED|STOP_REQUESTED|STOPPED',
'KMSKey' => '<string>',
'LanguageCode' => 'en',
'ManifestFilePath' => '<string>',
'Message' => '<string>',
'ModelVersion' => '<string>',
'OutputDataConfig' => [
'S3Bucket' => '<string>',
'S3Key' => '<string>',
],
'SubmitTime' => <DateTime>,
],
// ...
],
'NextToken' => '<string>',
]
Result Details
Members
- ComprehendMedicalAsyncJobPropertiesList
-
- Type: Array of ComprehendMedicalAsyncJobProperties structures
A list containing the properties of each job returned.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Errors
-
The request that you made is invalid. Check your request to determine why it's invalid and then retry the request.
-
The filter that you specified for the operation is invalid. Check the filter values that you entered and try your request again.
-
You have made too many requests within a short period of time. Wait for a short time and then try your request again. Contact customer support for more information about a service limit increase.
-
An internal server error occurred. Retry your request.
ListPHIDetectionJobs
$result = $client->listPHIDetectionJobs([/* ... */]); $promise = $client->listPHIDetectionJobsAsync([/* ... */]);
Gets a list of protected health information (PHI) detection jobs that you have submitted.
Parameter Syntax
$result = $client->listPHIDetectionJobs([
'Filter' => [
'JobName' => '<string>',
'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|PARTIAL_SUCCESS|FAILED|STOP_REQUESTED|STOPPED',
'SubmitTimeAfter' => <integer || string || DateTime>,
'SubmitTimeBefore' => <integer || string || DateTime>,
],
'MaxResults' => <integer>,
'NextToken' => '<string>',
]);
Parameter Details
Members
- Filter
-
- Type: ComprehendMedicalAsyncJobFilter structure
Filters the jobs that are returned. You can filter jobs based on their names, status, or the date and time that they were submitted. You can only set one filter at a time.
- MaxResults
-
- Type: int
The maximum number of results to return in each page. The default is 100.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Result Syntax
[
'ComprehendMedicalAsyncJobPropertiesList' => [
[
'DataAccessRoleArn' => '<string>',
'EndTime' => <DateTime>,
'ExpirationTime' => <DateTime>,
'InputDataConfig' => [
'S3Bucket' => '<string>',
'S3Key' => '<string>',
],
'JobId' => '<string>',
'JobName' => '<string>',
'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|PARTIAL_SUCCESS|FAILED|STOP_REQUESTED|STOPPED',
'KMSKey' => '<string>',
'LanguageCode' => 'en',
'ManifestFilePath' => '<string>',
'Message' => '<string>',
'ModelVersion' => '<string>',
'OutputDataConfig' => [
'S3Bucket' => '<string>',
'S3Key' => '<string>',
],
'SubmitTime' => <DateTime>,
],
// ...
],
'NextToken' => '<string>',
]
Result Details
Members
- ComprehendMedicalAsyncJobPropertiesList
-
- Type: Array of ComprehendMedicalAsyncJobProperties structures
A list containing the properties of each job returned.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Errors
-
The request that you made is invalid. Check your request to determine why it's invalid and then retry the request.
-
The filter that you specified for the operation is invalid. Check the filter values that you entered and try your request again.
-
You have made too many requests within a short period of time. Wait for a short time and then try your request again. Contact customer support for more information about a service limit increase.
-
An internal server error occurred. Retry your request.
StartEntitiesDetectionV2Job
$result = $client->startEntitiesDetectionV2Job([/* ... */]); $promise = $client->startEntitiesDetectionV2JobAsync([/* ... */]);
Starts an asynchronous medical entity detection job for a collection of documents. Use the DescribeEntitiesDetectionV2Job operation to track the status of a job.
Parameter Syntax
$result = $client->startEntitiesDetectionV2Job([
'ClientRequestToken' => '<string>',
'DataAccessRoleArn' => '<string>', // REQUIRED
'InputDataConfig' => [ // REQUIRED
'S3Bucket' => '<string>', // REQUIRED
'S3Key' => '<string>',
],
'JobName' => '<string>',
'KMSKey' => '<string>',
'LanguageCode' => 'en', // REQUIRED
'OutputDataConfig' => [ // REQUIRED
'S3Bucket' => '<string>', // REQUIRED
'S3Key' => '<string>',
],
]);
Parameter Details
Members
- ClientRequestToken
-
- Type: string
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend Medical generates one.
- DataAccessRoleArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that grants Amazon Comprehend Medical read access to your input data. For more information, see Role-Based Permissions Required for Asynchronous Operations.
- InputDataConfig
-
- Required: Yes
- Type: InputDataConfig structure
Specifies the format and location of the input data for the job.
- JobName
-
- Type: string
The identifier of the job.
- KMSKey
-
- Type: string
An AWS Key Management Service key to encrypt your output files. If you do not specify a key, the files are written in plain text.
- LanguageCode
-
- Required: Yes
- Type: string
The language of the input documents. All documents must be in the same language.
- OutputDataConfig
-
- Required: Yes
- Type: OutputDataConfig structure
Specifies where to send the output files.
Result Syntax
[
'JobId' => '<string>',
]
Result Details
Members
Errors
-
The request that you made is invalid. Check your request to determine why it's invalid and then retry the request.
-
You have made too many requests within a short period of time. Wait for a short time and then try your request again. Contact customer support for more information about a service limit increase.
-
The resource identified by the specified Amazon Resource Name (ARN) was not found. Check the ARN and try your request again.
-
An internal server error occurred. Retry your request.
StartPHIDetectionJob
$result = $client->startPHIDetectionJob([/* ... */]); $promise = $client->startPHIDetectionJobAsync([/* ... */]);
Starts an asynchronous job to detect protected health information (PHI). Use the DescribePHIDetectionJob operation to track the status of a job.
Parameter Syntax
$result = $client->startPHIDetectionJob([
'ClientRequestToken' => '<string>',
'DataAccessRoleArn' => '<string>', // REQUIRED
'InputDataConfig' => [ // REQUIRED
'S3Bucket' => '<string>', // REQUIRED
'S3Key' => '<string>',
],
'JobName' => '<string>',
'KMSKey' => '<string>',
'LanguageCode' => 'en', // REQUIRED
'OutputDataConfig' => [ // REQUIRED
'S3Bucket' => '<string>', // REQUIRED
'S3Key' => '<string>',
],
]);
Parameter Details
Members
- ClientRequestToken
-
- Type: string
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend Medical generates one.
- DataAccessRoleArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that grants Amazon Comprehend Medical read access to your input data. For more information, see Role-Based Permissions Required for Asynchronous Operations.
- InputDataConfig
-
- Required: Yes
- Type: InputDataConfig structure
Specifies the format and location of the input data for the job.
- JobName
-
- Type: string
The identifier of the job.
- KMSKey
-
- Type: string
An AWS Key Management Service key to encrypt your output files. If you do not specify a key, the files are written in plain text.
- LanguageCode
-
- Required: Yes
- Type: string
The language of the input documents. All documents must be in the same language.
- OutputDataConfig
-
- Required: Yes
- Type: OutputDataConfig structure
Specifies where to send the output files.
Result Syntax
[
'JobId' => '<string>',
]
Result Details
Members
Errors
-
The request that you made is invalid. Check your request to determine why it's invalid and then retry the request.
-
You have made too many requests within a short period of time. Wait for a short time and then try your request again. Contact customer support for more information about a service limit increase.
-
The resource identified by the specified Amazon Resource Name (ARN) was not found. Check the ARN and try your request again.
-
An internal server error occurred. Retry your request.
StopEntitiesDetectionV2Job
$result = $client->stopEntitiesDetectionV2Job([/* ... */]); $promise = $client->stopEntitiesDetectionV2JobAsync([/* ... */]);
Stops a medical entities detection job in progress.
Parameter Syntax
$result = $client->stopEntitiesDetectionV2Job([
'JobId' => '<string>', // REQUIRED
]);
Parameter Details
Result Syntax
[
'JobId' => '<string>',
]
Result Details
Errors
-
The request that you made is invalid. Check your request to determine why it's invalid and then retry the request.
-
The resource identified by the specified Amazon Resource Name (ARN) was not found. Check the ARN and try your request again.
-
An internal server error occurred. Retry your request.
StopPHIDetectionJob
$result = $client->stopPHIDetectionJob([/* ... */]); $promise = $client->stopPHIDetectionJobAsync([/* ... */]);
Stops a protected health information (PHI) detection job in progress.
Parameter Syntax
$result = $client->stopPHIDetectionJob([
'JobId' => '<string>', // REQUIRED
]);
Parameter Details
Result Syntax
[
'JobId' => '<string>',
]
Result Details
Errors
-
The request that you made is invalid. Check your request to determine why it's invalid and then retry the request.
-
The resource identified by the specified Amazon Resource Name (ARN) was not found. Check the ARN and try your request again.
-
An internal server error occurred. Retry your request.
Shapes
Attribute
Description
An extracted segment of the text that is an attribute of an entity, or otherwise related to an entity, such as the dosage of a medication taken. It contains information about the attribute such as id, begin and end offset within the input text, and the segment of the input text.
Members
- BeginOffset
-
- Type: int
The 0-based character offset in the input text that shows where the attribute begins. The offset returns the UTF-8 code point in the string.
- EndOffset
-
- Type: int
The 0-based character offset in the input text that shows where the attribute ends. The offset returns the UTF-8 code point in the string.
- Id
-
- Type: int
The numeric identifier for this attribute. This is a monotonically increasing id unique within this response rather than a global unique identifier.
- RelationshipScore
-
- Type: float
The level of confidence that Amazon Comprehend Medical has that this attribute is correctly related to this entity.
- Score
-
- Type: float
The level of confidence that Amazon Comprehend Medical has that the segment of text is correctly recognized as an attribute.
- Text
-
- Type: string
The segment of input text extracted as this attribute.
- Traits
-
- Type: Array of Trait structures
Contextual information for this attribute.
- Type
-
- Type: string
The type of attribute.
ComprehendMedicalAsyncJobFilter
Description
Provides information for filtering a list of detection jobs.
Members
- JobName
-
- Type: string
Filters on the name of the job.
- JobStatus
-
- Type: string
Filters the list of jobs based on job status. Returns only jobs with the specified status.
- SubmitTimeAfter
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted after the specified time. Jobs are returned in descending order, newest to oldest.
- SubmitTimeBefore
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted before the specified time. Jobs are returned in ascending order, oldest to newest.
ComprehendMedicalAsyncJobProperties
Description
Provides information about a detection job.
Members
- DataAccessRoleArn
-
- Type: string
The Amazon Resource Name (ARN) that gives Amazon Comprehend Medical read access to your input data.
- EndTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the detection job completed.
- ExpirationTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The date and time that job metadata is deleted from the server. Output files in your S3 bucket will not be deleted. After the metadata is deleted, the job will no longer appear in the results of the
ListEntitiesDetectionV2Jobor theListPHIDetectionJobsoperation. - InputDataConfig
-
- Type: InputDataConfig structure
The input data configuration that you supplied when you created the detection job.
- JobId
-
- Type: string
The identifier assigned to the detection job.
- JobName
-
- Type: string
The name that you assigned to the detection job.
- JobStatus
-
- Type: string
The current status of the detection job. If the status is
FAILED, theMessagefield shows the reason for the failure. - KMSKey
-
- Type: string
The AWS Key Management Service key, if any, used to encrypt the output files.
- LanguageCode
-
- Type: string
The language code of the input documents.
- ManifestFilePath
-
- Type: string
The path to the file that describes the results of a batch job.
- Message
-
- Type: string
A description of the status of a job.
- ModelVersion
-
- Type: string
The version of the model used to analyze the documents. The version number looks like X.X.X. You can use this information to track the model used for a particular batch of documents.
- OutputDataConfig
-
- Type: OutputDataConfig structure
The output data configuration that you supplied when you created the detection job.
- SubmitTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the detection job was submitted for processing.
Entity
Description
Provides information about an extracted medical entity.
Members
- Attributes
-
- Type: Array of Attribute structures
The extracted attributes that relate to this entity.
- BeginOffset
-
- Type: int
The 0-based character offset in the input text that shows where the entity begins. The offset returns the UTF-8 code point in the string.
- Category
-
- Type: string
The category of the entity.
- EndOffset
-
- Type: int
The 0-based character offset in the input text that shows where the entity ends. The offset returns the UTF-8 code point in the string.
- Id
-
- Type: int
The numeric identifier for the entity. This is a monotonically increasing id unique within this response rather than a global unique identifier.
- Score
-
- Type: float
The level of confidence that Amazon Comprehend Medical has in the accuracy of the detection.
- Text
-
- Type: string
The segment of input text extracted as this entity.
- Traits
-
- Type: Array of Trait structures
Contextual information for the entity.
- Type
-
- Type: string
Describes the specific type of entity with category of entities.
ICD10CMAttribute
Description
The detected attributes that relate to an entity. This includes an extracted segment of the text that is an attribute of an entity, or otherwise related to an entity. InferICD10CM detects the following attributes: Direction, System, Organ or Site, and Acuity.
Members
- BeginOffset
-
- Type: int
The 0-based character offset in the input text that shows where the attribute begins. The offset returns the UTF-8 code point in the string.
- EndOffset
-
- Type: int
The 0-based character offset in the input text that shows where the attribute ends. The offset returns the UTF-8 code point in the string.
- Id
-
- Type: int
The numeric identifier for this attribute. This is a monotonically increasing id unique within this response rather than a global unique identifier.
- RelationshipScore
-
- Type: float
The level of confidence that Amazon Comprehend Medical has that this attribute is correctly related to this entity.
- Score
-
- Type: float
The level of confidence that Amazon Comprehend Medical has that the segment of text is correctly recognized as an attribute.
- Text
-
- Type: string
The segment of input text which contains the detected attribute.
- Traits
-
- Type: Array of ICD10CMTrait structures
The contextual information for the attribute. The traits recognized by InferICD10CM are
DIAGNOSIS,SIGN,SYMPTOM, andNEGATION. - Type
-
- Type: string
The type of attribute. InferICD10CM detects entities of the type
DX_NAME.
ICD10CMConcept
Description
The ICD-10-CM concepts that the entity could refer to, along with a score indicating the likelihood of the match.
Members
- Code
-
- Type: string
The ICD-10-CM code that identifies the concept found in the knowledge base from the Centers for Disease Control.
- Description
-
- Type: string
The long description of the ICD-10-CM code in the ontology.
- Score
-
- Type: float
The level of confidence that Amazon Comprehend Medical has that the entity is accurately linked to an ICD-10-CM concept.
ICD10CMEntity
Description
The collection of medical entities extracted from the input text and their associated information. For each entity, the response provides the entity text, the entity category, where the entity text begins and ends, and the level of confidence that Amazon Comprehend Medical has in the detection and analysis. Attributes and traits of the entity are also returned.
Members
- Attributes
-
- Type: Array of ICD10CMAttribute structures
The detected attributes that relate to the entity. An extracted segment of the text that is an attribute of an entity, or otherwise related to an entity, such as the nature of a medical condition.
- BeginOffset
-
- Type: int
The 0-based character offset in the input text that shows where the entity begins. The offset returns the UTF-8 code point in the string.
- Category
-
- Type: string
The category of the entity. InferICD10CM detects entities in the
MEDICAL_CONDITIONcategory. - EndOffset
-
- Type: int
The 0-based character offset in the input text that shows where the entity ends. The offset returns the UTF-8 code point in the string.
- ICD10CMConcepts
-
- Type: Array of ICD10CMConcept structures
The ICD-10-CM concepts that the entity could refer to, along with a score indicating the likelihood of the match.
- Id
-
- Type: int
The numeric identifier for the entity. This is a monotonically increasing id unique within this response rather than a global unique identifier.
- Score
-
- Type: float
The level of confidence that Amazon Comprehend Medical has in the accuracy of the detection.
- Text
-
- Type: string
The segment of input text that is matched to the detected entity.
- Traits
-
- Type: Array of ICD10CMTrait structures
Provides Contextual information for the entity. The traits recognized by InferICD10CM are
DIAGNOSIS,SIGN,SYMPTOM, andNEGATION. - Type
-
- Type: string
Describes the specific type of entity with category of entities. InferICD10CM detects entities of the type
DX_NAME.
ICD10CMTrait
Description
Contextual information for the entity. The traits recognized by InferICD10CM are DIAGNOSIS, SIGN, SYMPTOM, and NEGATION.
Members
InputDataConfig
Description
The input properties for an entities detection job
Members
- S3Bucket
-
- Required: Yes
- Type: string
The URI of the S3 bucket that contains the input data. The bucket must be in the same region as the API endpoint that you are calling.
Each file in the document collection must be less than 40 KB. You can store a maximum of 30 GB in the bucket.
- S3Key
-
- Type: string
The path to the input data files in the S3 bucket.
InternalServerException
InvalidEncodingException
Description
The input text was not in valid UTF-8 character encoding. Check your text then retry your request.
Members
InvalidRequestException
Description
The request that you made is invalid. Check your request to determine why it's invalid and then retry the request.
Members
OutputDataConfig
Description
The output properties for a detection job.
Members
- S3Bucket
-
- Required: Yes
- Type: string
When you use the
OutputDataConfigobject with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output. - S3Key
-
- Type: string
The path to the output data files in the S3 bucket. Amazon Comprehend Medical creates an output directory using the job ID so that the output from one job does not overwrite the output of another.
ResourceNotFoundException
Description
The resource identified by the specified Amazon Resource Name (ARN) was not found. Check the ARN and try your request again.
Members
RxNormAttribute
Description
The extracted attributes that relate to this entity. The attributes recognized by InferRxNorm are DOSAGE, DURATION, FORM, FREQUENCY, RATE, ROUTE_OR_MODE.
Members
- BeginOffset
-
- Type: int
The 0-based character offset in the input text that shows where the attribute begins. The offset returns the UTF-8 code point in the string.
- EndOffset
-
- Type: int
The 0-based character offset in the input text that shows where the attribute ends. The offset returns the UTF-8 code point in the string.
- Id
-
- Type: int
The numeric identifier for this attribute. This is a monotonically increasing id unique within this response rather than a global unique identifier.
- RelationshipScore
-
- Type: float
The level of confidence that Amazon Comprehend Medical has that the attribute is accurately linked to an entity.
- Score
-
- Type: float
The level of confidence that Comprehend Medical has that the segment of text is correctly recognized as an attribute.
- Text
-
- Type: string
The segment of input text which corresponds to the detected attribute.
- Traits
-
- Type: Array of RxNormTrait structures
Contextual information for the attribute. InferRxNorm recognizes the trait
NEGATIONfor attributes, i.e. that the patient is not taking a specific dose or form of a medication. - Type
-
- Type: string
The type of attribute. The types of attributes recognized by InferRxNorm are
BRAND_NAMEandGENERIC_NAME.
RxNormConcept
Description
The RxNorm concept that the entity could refer to, along with a score indicating the likelihood of the match.
Members
RxNormEntity
Description
The collection of medical entities extracted from the input text and their associated information. For each entity, the response provides the entity text, the entity category, where the entity text begins and ends, and the level of confidence that Amazon Comprehend Medical has in the detection and analysis. Attributes and traits of the entity are also returned.
Members
- Attributes
-
- Type: Array of RxNormAttribute structures
The extracted attributes that relate to the entity. The attributes recognized by InferRxNorm are
DOSAGE,DURATION,FORM,FREQUENCY,RATE,ROUTE_OR_MODE, andSTRENGTH. - BeginOffset
-
- Type: int
The 0-based character offset in the input text that shows where the entity begins. The offset returns the UTF-8 code point in the string.
- Category
-
- Type: string
The category of the entity. The recognized categories are
GENERICorBRAND_NAME. - EndOffset
-
- Type: int
The 0-based character offset in the input text that shows where the entity ends. The offset returns the UTF-8 code point in the string.
- Id
-
- Type: int
The numeric identifier for the entity. This is a monotonically increasing id unique within this response rather than a global unique identifier.
- RxNormConcepts
-
- Type: Array of RxNormConcept structures
The RxNorm concepts that the entity could refer to, along with a score indicating the likelihood of the match.
- Score
-
- Type: float
The level of confidence that Amazon Comprehend Medical has in the accuracy of the detected entity.
- Text
-
- Type: string
The segment of input text extracted from which the entity was detected.
- Traits
-
- Type: Array of RxNormTrait structures
Contextual information for the entity.
- Type
-
- Type: string
Describes the specific type of entity. For InferRxNorm, the recognized entity type is
MEDICATION.
RxNormTrait
Description
The contextual information for the entity. InferRxNorm recognizes the trait NEGATION, which is any indication that the patient is not taking a medication.
Members
ServiceUnavailableException
Description
The Amazon Comprehend Medical service is temporarily unavailable. Please wait and then retry your request.
Members
TextSizeLimitExceededException
Description
The size of the text you submitted exceeds the size limit. Reduce the size of the text or use a smaller document and then retry your request.
Members
TooManyRequestsException
Description
You have made too many requests within a short period of time. Wait for a short time and then try your request again. Contact customer support for more information about a service limit increase.
Members
Trait
Description
Provides contextual information about the extracted entity.
Members
UnmappedAttribute
Description
An attribute that we extracted, but were unable to relate to an entity.
Members
- Attribute
-
- Type: Attribute structure
The specific attribute that has been extracted but not mapped to an entity.
- Type
-
- Type: string
The type of the attribute, could be one of the following values: "MEDICATION", "MEDICAL_CONDITION", "ANATOMY", "TEST_AND_TREATMENT_PROCEDURE" or "PROTECTED_HEALTH_INFORMATION".
