Domain
Quality
HEDIS, Stars ratings, measures, outcomes and accreditation
1,711 quality terms
An exclusion criterion that must be applied to remove specific members from a quality measure denominator or numerator when defined clinical circumstances exist, such as hospice enrollment, pregnancy, or contraindication to the required service. Required exclusions are mandatory per NCQA technical specifications and their application is verified during HEDIS audits. Failure to apply required exclusions results in measure non-compliance and can invalidate reported performance rates.
A specific numeric, coded, or textual data point that defines the threshold, limit, or criteria established by a mandatory healthcare specification. Used in compliance and quality management systems to evaluate whether operational metrics or clinical data satisfy defined regulatory or contractual obligations.
The healthcare expenditure for a patient population normalized to account for differences in member health status and clinical complexity using risk adjustment models, enabling fair comparison of cost efficiency across providers serving populations with different acuity levels. Risk adjusted cost prevents the misleading conclusion that providers serving healthier populations are more efficient than those serving complex patients — by controlling for risk, cost comparisons reflect true efficiency differences rather than patient selection effects. CMS uses HCC risk scores to calculate risk-adjusted per capita expenditure for ACO performance measurement, ensuring that ACOs serving higher-complexity populations receive appropriately higher benchmarks. Commercial value based contracts apply prospective risk adjustment using diagnostic cost grouper models or HCC-based risk scores. Healthcare data teams calculate rsk_adj_cst_amt by dividing actual expenditure by the average risk score of the population, effectively converting all populations to a common risk-equivalent basis for meaningful cost comparison across provider groups and performance periods.
A financial protection mechanism in value based care contracts that limits the maximum shared savings or shared losses a provider organization can receive or owe in a single performance year, expressed as a percentage of the benchmark expenditure. Risk corridors create a band within which financial performance is shared between the provider and payer at defined rates while capping exposure beyond defined thresholds. In Medicare Advantage star ratings, risk corridors protect both plans and CMS from extreme financial outcomes due to random variation in high-cost member utilization. Risk corridor design is a critical negotiating point in commercial value based contracts — wider corridors increase potential upside but also increase downside exposure while narrower corridors provide more predictable financial outcomes. Healthcare data teams model risk corridor mechanics when evaluating value based contract proposals, calculating the probability of reaching corridor boundaries based on historical cost distribution data, and projecting net financial exposure under different utilization scenarios throughout the performance year.
The process of segmenting a patient population into risk tiers based on predicted healthcare utilization, cost, and clinical complexity to enable targeted deployment of care management resources where they will generate the greatest health and financial return. Risk stratification models combine claims history, diagnosis burden, pharmacy utilization, functional status, social determinants, and prior utilization patterns to calculate composite risk scores that predict which members are likely to require intensive care management, which are rising in risk and could benefit from preventive intervention, and which are stable and low risk requiring only routine preventive care. High-risk members receive intensive case management with dedicated nurse case managers while rising-risk members receive targeted disease management outreach to prevent deterioration. Healthcare data teams build risk stratification pipelines that apply predictive risk models to member data monthly, assign risk tier codes with supporting clinical rationale, feed stratification outputs to care management platforms for outreach queue prioritization, and measure care management program effectiveness by comparing outcomes for members who received interventions against similar members who did not.
A coded or descriptive data point specifying the administration pathway for a medication or treatment, such as oral, intravenous, or subcutaneous. Used in pharmacy dispensing, clinical documentation, and medication management systems to ensure accurate and safe drug administration.
A measured or observed data point derived from a collected biological specimen, such as blood, urine, or tissue. Used in laboratory information systems to record test results, support diagnostic workflows, and populate clinical data repositories for patient care and population health analysis.
A numeric or categorical score representing a patient's rated experience with healthcare services, derived from surveys such as HCAHPS or post-visit questionnaires. Used in quality reporting, pay-for-performance programs, and patient experience analytics to benchmark and improve care delivery.
A measured data point indicating the degree of a patient's reactivity to a specific substance, allergen, or antimicrobial agent. Used in laboratory and clinical systems to record allergy testing results, guide treatment decisions, and support medication safety checks within patient care workflows.
The quantitative or qualitative result of a serum antibody or antigen test, such as titers for infectious diseases, autoimmune markers, or blood type compatibility. Captured in laboratory information systems and used to guide diagnosis, treatment eligibility, and immunization status verification.
The numeric or coded result associated with a specific therapy or treatment session, such as physical therapy, behavioral health, or infusion visits. Used in clinical documentation to track progress, measure outcomes, and support utilization management across authorized treatment plans.
The financial obligation owed by healthcare providers participating in two-sided risk value based care arrangements when their total cost of care for the attributed population exceeds the established expenditure benchmark by more than the minimum savings or losses threshold. Shared losses represent the downside financial risk that distinguishes advanced two-sided risk tracks from one-sided savings-only arrangements. In MSSP two-sided tracks, ACOs must repay a percentage of losses above the minimum loss rate up to a maximum loss sharing limit. The decision to accept downside risk is significant for provider organizations and requires sophisticated financial modeling of potential loss scenarios and risk mitigation strategies. Healthcare data teams calculate projected shared losses by measuring the gap between actual and benchmark expenditure, applying the applicable loss sharing rate from the contract, monitoring in-year spending trends to project final settlement amounts, and modeling risk mitigation interventions including care management programs and utilization management initiatives.
The recorded measurement of an observable clinical indicator assessed during patient examination, such as blood pressure, heart rate, respiratory rate, or Glasgow Coma Scale score. Stored in clinical data systems to support trending, risk stratification, and care decision-making.
The numeric or coded identifier representing a specific care delivery location, such as a hospital, outpatient clinic, or surgical center. Used in claims processing, utilization reporting, and network management to associate clinical activity with the physical or organizational site where services were rendered.
The numeric or coded representation of an available appointment time block within a scheduling system. Used in patient access management to track open, booked, or blocked schedule intervals across providers, departments, and facilities for capacity planning and utilization analysis.
A flag indicating that a referring or consulting specialist's identity or involvement in a patient case is restricted from general access due to privacy, legal, or sensitivity requirements. Controls visibility of specialist attribution in clinical records, referral workflows, and care coordination documentation.
A flag indicating that a specialist's record has been logically removed from active use within the clinical or referral management system. Prevents the specialist from appearing in active provider directories or referral workflows while preserving historical associations for audit and reporting purposes.
A flag designating a specific specialist as the primary consulting or managing clinician for a patient's condition or episode of care. Used in referral management and care coordination systems to distinguish the lead specialist from secondary consultants when multiple specialty providers are involved.
The reference or benchmark measurement defined by a clinical guideline, regulatory requirement, or organizational protocol against which patient data, process metrics, or outcomes are compared. Used in quality reporting, compliance monitoring, and clinical decision support to evaluate adherence to established care standards.
An individual clinical quality, patient experience, or administrative performance indicator included in the CMS Star Ratings calculation for Medicare Advantage and Part D plans, weighted by CMS to reflect clinical importance and evidence strength in producing the overall summary star rating. Star measures are organized into domains including staying healthy screenings and tests, managing chronic conditions, member experience with the health plan, member complaints and appeals, and health plan administrative performance. Triple-weighted measures receive three times the standard weight in star calculations and disproportionately influence overall ratings — healthcare data teams identify triple-weighted measures as the highest priority for quality improvement investment. CMS updates the star measure set annually through the annual Notice of Final Payment and Policy Changes, adding new measures and retiring measures that no longer differentiate plan performance. Healthcare data teams maintain current star_meas_cd reference tables with measure weights, domains, and applicable benchmarks to support accurate star rating projections.