Domain
EHR, ICD-10, LOINC, SNOMED CT, patient care and clinical documentation
16,101 clinical terms
The classification category identifying the subspecialty or nature of a neurology-related record, such as epilepsy, stroke, dementia, or movement disorders. Used in clinical data systems to segment neurological care by condition type, enabling targeted reporting, care management, and outcomes analysis.
The date on which a neurology-related record was most recently modified in the clinical or administrative system. Used in data governance and audit tracking to identify when neurological diagnoses, treatment plans, or specialist encounter details were last reviewed or corrected.
The clinically assigned priority level indicating the time-sensitivity of a neurology-related encounter or intervention, such as routine, urgent, or emergent. Used in care coordination and scheduling workflows to triage patients with neurological conditions like acute stroke or seizure disorders appropriately.
A discrete numeric or coded data point captured in the context of a neurological assessment or diagnostic test, such as a cognitive score, nerve conduction velocity, or seizure frequency metric. Used in clinical data warehouses to track neurological outcomes and treatment response over time.
The sequential version number assigned to a neurology-related record to track revisions over time, supporting data lineage and audit requirements. Used in clinical information systems to distinguish between original and amended neurological documentation, diagnoses, or treatment plan entries.
The postal ZIP code associated with a neurology-related record, typically reflecting the patient's residence or the treating neurology facility's location. Used in population health analytics and geographic reporting to assess regional prevalence of neurological conditions and access to specialist care.
A binary flag indicating whether a clinical note is currently active and valid within the health record system. Inactive notes may have been superseded, retracted, or replaced by an amended entry. Used to filter documentation in clinical workflows to ensure only current, actionable notes are displayed.
The current lifecycle status of a clinical note, indicating whether it is active, inactive, retracted, or pending review within the electronic health record. Used in documentation management workflows to ensure clinicians and care teams are referencing valid and approved clinical entries.
Date value representing the hospital admission event associated with a specific clinical documentation entry in EHR systems. Used to correlate clinical notes with inpatient encounters, support retrospective chart review, and link documentation records to corresponding claims or discharge data in healthcare analytics pipelines.
The calculated elapsed time since a clinical note was authored or finalized, typically expressed in days, hours, or years depending on context. Used in clinical workflows and data quality reporting to identify aged or outdated documentation that may require review, amendment, or archival.
The maximum reimbursable dollar amount associated with a clinical note or the service it documents, as determined by the payer's fee schedule or contract terms. Used in claims adjudication and revenue cycle management to validate billing accuracy against negotiated rates for documented services.
Monetary value recorded within a clinical or financial documentation entry in EHR, billing, or revenue cycle systems. Used to associate dollar figures with annotations on claims, remittance advice, or care management records. Supports reconciliation workflows and financial audit trails in healthcare data platforms.
The identifier or name of the credentialed clinician or supervisor who reviewed and approved a clinical note, confirming its accuracy and completeness. Used in documentation compliance workflows, particularly for notes authored by trainees or allied health professionals requiring co-signature under regulatory requirements.
The recorded time at which a patient physically arrived for the encounter documented in the clinical note, distinct from the scheduled appointment time. Used in operational reporting and patient flow analytics to calculate wait times, throughput efficiency, and compliance with time-sensitive care protocols.
The calendar date on which a patient arrived for the clinical encounter associated with the note. Used in scheduling, visit reconciliation, and care gap analysis workflows to confirm that documented encounters align with actual patient contact dates recorded in the appointment and registration systems.
The clinician's documented evaluation and interpretation of a patient's condition as recorded in a SOAP-format or equivalent clinical note, summarizing findings, differential diagnoses, and clinical impressions. This section forms the basis for treatment planning and is central to medical decision-making documentation.
Outstanding monetary amount remaining on a financial or clinical documentation entry in revenue cycle or billing systems. Represents unpaid or unresolved balances tied to annotated claim lines or accounts. Used in accounts receivable workflows, denial management, and payment reconciliation across healthcare data systems.
The total dollar amount submitted to a payer on a claim for services documented in the clinical note, representing the provider's standard charge before contractual adjustments or denials. Used in revenue cycle reporting to compare billed charges against allowed amounts and track reimbursement variances.
Date of birth value captured within a clinical documentation entry in EHR, enrollment, or care management systems. Used to associate patient age and demographic context with specific notes or annotations. Supports identity matching, age-based eligibility rules, and longitudinal patient record linkage in healthcare data pipelines.
The systolic and diastolic arterial blood pressure reading recorded as a vital sign within a clinical note, typically expressed in mmHg. Used in longitudinal patient monitoring, chronic disease management for conditions such as hypertension, and clinical decision support to identify readings outside normal thresholds.