Detect Entities (Version 2) - Amazon Comprehend Medical
Anatomy CategoryMedical condition categoryMedication CategoryProtected health information categoryTest, treatment, procedure CategoryTime expression category

Detect Entities (Version 2)

Use the to detect entities in single files or for batch analysis on multiple files. You can detect entities in the following categories:

  • ANATOMY: Detects references to the parts of the body or body systems and the locations of those parts or systems.

  • MEDICAL_CONDITION: Detects the signs, symptoms, and diagnosis of medical conditions.

  • MEDICATION: Detects medication and dosage information for the patient.

  • PROTECTED_HEALTH_INFORMATION: Detects the patient's personal information.

  • TEST_TREATMENT_PROCEDURE: Detects the procedures that are used to determine a medical condition.

  • TIME_EXPRESSION: Detects entities related to time when they are associated with a detected entity.

All six categories are detected by the DetectEntitiesV2 operation. For analysis specific to detecting PHI, use on single files and for batch analysis.

Important

Amazon Comprehend Medical provides confidence scores that indicate the level of confidence in the accuracy of detected entities. When you are identifying protected health information (PHI), evaluate these scores and identify the right confidence threshold for your use case. Use high-confidence thresholds in situations that require high accuracy. For certain use cases, results should be reviewed and verified by appropriately trained human reviewers. Use Amazon Comprehend Medical in patient care scenarios only after review by trained medical professionals for accuracy and exercising medical judgment.

Amazon Comprehend Medical detects information in the following classes:

  • Entity: A text reference to the name of relevant objects, such as people, treatments, medications, and medical conditions. For example, ibuprofen.

  • Category: The generalized grouping to which an entity belongs. For example, ibuprofen is part of the MEDICATION category.

  • Type: The type of entity detected within a single category. For example, ibuprofen is in the GENERIC_NAME type in the MEDICATION category.

  • Attribute: Information related to an entity, such as the dosage of a medication. For example, 200 mg is an attribute of the ibuprofen entity.

  • Trait: Something that Amazon Comprehend Medical understands about an entity, based on context. For example, a medication has the NEGATION trait if a patient is not taking it.

  • Relationship Type: The relationship between an entity and an attribute.

Amazon Comprehend Medical provides the location of an entity in the input text. In the Amazon Comprehend console, it shows the location graphically. When you use the API, it shows the location by numerical offset.

Each entity and attribute includes a score that indicates the confidence level that Amazon Comprehend Medical has in the accuracy of the detection. Each attribute also has a relationship score. The score indicates the confidence level that Amazon Comprehend Medical has in the accuracy of the relationship between the attribute and its parent entity. Identify the right confidence threshold for your use case. Use high-confidence thresholds in situations that require great accuracy. Filter out data that doesn't meet the threshold.

Anatomy Category

The ANATOMY category detects references to the parts of the body or body systems and the locations of those parts or systems.

Types

  • SYSTEM_ORGAN_SITE: Body systems, anatomic locations or regions, and body sites.

Attributes

  • DIRECTION: Directional terms. For example, left, right medial, lateral, upper, lower, posterior, anterior, distal, proximal, contralateral, bilateral, ipsilateral, dorsal, ventral, and so on.

Medical condition category

The MEDICAL_CONDITION category detects the signs, symptoms, and diagnosis of medical conditions. The category has one entity type, one attribute, and four traits. One or more traits can be associated with a type. Contextual information about attributes and their relationship to the diagnosis is detected and mapped to the DX_NAME through RELATIONSHIP_EXTRACTION. For instance, from the text "chronic pain in left leg", "chronic" is detected as the attribute ACUITY, "left" is detected as the attribute DIRECTION, and "leg" is detected as the attribute SYSTEM_ORGAN_SITE. The relationships of each of these attributes are mapped to the medical condition entity "pain", along with a confidence score.

Types

  • DX_NAME: All medical conditions listed. The DX_NAME type includes present illness, reason for visit, and medical history.

Attributes

  • ACUITY: Determination of disease instance, such as chronic, acute, sudden, persistent, or gradual.

  • DIRECTION: Directional terms. For example, left, right medial, lateral, upper, lower, posterior, anterior, distal, proximal, contralateral, bilateral, ipsilateral, dorsal, or ventral.

  • SYSTEM_ORGAN_SITE: anatomical location.

Traits

  • DIAGNOSIS: A medical condition that is determined as the cause or result of the symptoms. Symptoms can be found through physical findings, laboratory or radiological reports, or any other means. Applies only to the DX_NAME type.

  • NEGATION: An indication that a result or action is negative or not being performed.

  • SIGN: A medical condition that the physician reported. Applies only to the DX_NAME type.

  • SYMPTOM: A medical condition reported by the patient. Applies only to the DX_NAME type.

Medication Category

The MEDICATION category detects medication and dosage information for the patient. One or more attributes can apply to a type.

Types

  • BRAND_NAME: The copyrighted brand name of the medication or therapeutic agent.

  • GENERIC_NAME: The non-brand name, ingredient name, or formula mixture of the medication or therapeutic agent.

Attributes

  • DOSAGE: The amount of medication ordered.

  • DURATION: How long the medication should be administered.

  • FORM: The form of the medication.

  • FREQUENCY: How often to administer the medication.

  • RATE: The administration rate of the medication (Primarily for medication infusions or IVs).

  • ROUTE_OR_MODE: The administration method of a medication.

  • STRENGTH: The medication strength.

Traits

  • NEGATION: Any indication that the patient is not taking a medication.

Protected health information category

The PROTECTED_HEALTH_INFORMATION category detects the patient's personal information. See Detect PHI to learn more about this operation.

Types

  • ADDRESS: All geographical subdivisions of an address of any facility, units, or wards within a facility.

  • AGE: All components of age, spans of age, or any age mentioned. This includes those of a patient, family members, or others. The default is years unless otherwise noted.

  • EMAIL: Any email address.

  • ID: Social security number, medical record number, facility identification number, clinical trial number, certificate or license number, vehicle or device number, the place of care, or provider. This also includes any biometric number of the patient, such as height, weight, or a lab value.

  • NAME: All names. Typically, names of the patient, family, or provider.

  • PHONE_OR_FAX: Any phone, fax, or pager number. Excludes named phone numbers, such as 1-800-QUIT-NOW and 911.

  • PROFESSION: Any profession or employer that pertains to the patient or the patient's family. It does not include the profession of the clinician mentioned in the note.

Test, treatment, procedure Category

The TEST_TREATMENT_PROCEDURE category detects the procedures that are used to determine a medical condition. One or more attributes can be related to an entity of the TEST_NAME type.

Types

  • PROCEDURE_NAME: Interventions as a one-time action performed on the patient to treat a medical condition or to provide patient care.

  • TEST_NAME: Procedures performed on a patient for diagnostic, measurement, screening, or rating that might have a resulting value. This includes any procedure, process, evaluation, or rating to determine a diagnosis, to rule out or find a condition, or to scale or score a patient.

  • TREATMENT_NAME: Interventions performed over a span of time for combating a disease or disorder. This includes groupings of medications, such as antivirals and vaccinations.

Attributes

  • TEST_VALUE: The result of a test. Applies only to the TEST_NAME entity type.

  • TEST_UNIT: The unit of measure that might accompany the value of the test. Applies only to the TEST_NAME entity type.

Time expression category

The TIME_EXPRESSION category detects entities related to time. This includes entities such as dates and time expressions such as "three days ago," "today," "currently," "day of admission," "last month," or "16 days." Results in this category are only returned if they are associated with an entity. For example, "Yesterday, the patient took 200 mg of ibuprofen" would return Yesterday as a TIME_EXPRESSION entity that overlaps with GENERIC_NAME entity "ibuprofen." However, it would not be recognized as an entity in "yesterday, the patient walked their dog."

Types

  • TIME_TO_MEDICATION_NAME: The date a medication was taken. The attributes specific to this type are BRAND_NAME and GENERIC_NAME.

  • TIME_TO_DX_NAME: The date a medical condition occurred. The attribute for this type is DX_NAME.

  • TIME_TO_TEST_NAME: The date a test was performed. The attribute for this type is TEST_NAME.

  • TIME_TO_PROCEDURE_NAME: The date a procedure was performed. The attribute for this type is PROCEDURE_NAME.

  • TIME_TO_TREATMENT_NAME: The date a treatment was administered. The attribute for this type is TREATMENT_NAME.

Relationship Type

  • The relationship between an entity and an attribute. The recognized Relationship_type is:

    Overlap – The TIME_EXPRESSION concurs with the entity detected.