The PHI Identification API is a function designed to identify and remove personally identifiable information from health records, such as names, location, contact details, medical IDs, age, profession, SSN, biometric information, health plan number, and other personal details. This technology is used to maintain patient confidentiality and comply with HIPAA guidelines.

The NER API uses NLP models to identify and extract medically significant entities, their contexts and relationships from unstructured clinical data. Categories typically identified include MEDICAL_CONDITION, encompassing diseases, injuries, and symptoms; MEDICATION, recognizing names of drugs or treatments; ANATOMY, marking terms related to anatomical structures; PROCEDURE, identifying medical interventions or operations; TEST_RESULT, highlighting medical test outcomes; PERSON, identifying individuals in the patient's life or care; and TIME, noting time-related references.

The SNOMED CT API associates medical concepts with standardized codes from the SNOMED-CT ontology. It recognizes entities in 3 categories: MEDICAL_CONDITION, mapping symptoms and diagnoses to universal codes for accurate data exchange; ANATOMY, identifying body parts and systems for precise mapping in medical procedures; and TEST_TREATMENT_PROCEDURE, connecting procedures to standardized codes for structured patient care recording.

RxNorm API is a function designed to detect medications that are referenced in a patient's medical record as distinct entities. It serves as a bridge between various drug terminologies, categorizing entities under the MEDICATION category and associating them with specific information or attributes. It recognizes BRAND_NAME and GENERIC_NAME types of entities. Key attributes include DOSAGE, DURATION, FORM, FREQUENCY, RATE, ROUTE_OR_MODE, and STRENGTH.

The LOINC API, is an advanced interface that interacts with the LOINC database to identify health measurements, observations, and documents. It plays a crucial role in unlocking medical laboratory observations, facilitating consistent communication through unique identifiers. It categorizes entities under LABORATORY_TEST, identifying a wide range of lab measurements; CLINICAL_REPORTS, assigning unique identifiers to various clinical documents; OBSERVATIONS, marking simple patient-related observations etc.

The ICD-10-CM is a high-precision tool that extracts billable ICD-10 codes from patient documents, facilitating a common language for sharing patient data across healthcare systems. Key categories include DIAGNOSIS, defining medical conditions based on symptoms, and PROCEDURES, covering codes for various medical processes. The API recognizes traits like HYPOTHETICAL, LOW_CONFIDENCE, NEGATION, SIGN, and SYMPTOM. It identifies attributes such as DIRECTION, SYSTEM_ORGAN_SITE, ACUITY, and QUALITY, associated with a medical condition.