Care Gap Closure
TL;DR
- Care gap closure finds members due for a screening, immunization, or chronic care activity under HEDIS and other quality measures, then completes and documents that care.
- It doubles as a clinical quality effort and a revenue-linked priority, because HEDIS scores drive Medicare Advantage Star Ratings and value-based contract performance.
- Fragmented data is the main obstacle, since claims-only views miss gaps already closed and trigger wasteful outreach.
- Plans prioritize gaps by measure weight and member risk rather than working every open gap with equal intensity.
What is care gap closure?
Care gap closure is the operational process of identifying members with an open gap in care, meaning they are due for a recommended screening, immunization, or chronic disease management activity under HEDIS and other quality measures, then taking the steps needed to complete and document that care. The process starts with data. Health plans review claims, EHR data, and pharmacy records to identify which members have not completed a required measure, such as a colorectal cancer screening or a diabetes eye exam. From there, the plan or provider conducts outreach to schedule the needed service, coordinates with the provider to confirm the visit happens, and makes sure the resulting documentation and coding reach quality reporting so the gap registers as closed. Because HEDIS scores directly affect Star Ratings, value-based contract performance, and in some arrangements direct financial incentives, care gap closure works as both a clinical quality initiative and a revenue-linked operational priority for health plans and provider organizations under value-based contracts.
Why it matters
Care gaps are not a minor administrative detail. Unmanaged chronic conditions and missed preventive care drive a disproportionate share of total healthcare spending and lead to worse outcomes for members whose conditions go undetected or undermanaged. For health plans, HEDIS performance directly affects Star Ratings, which in Medicare Advantage carry real financial consequences through bonus payments and enrollment marketing advantages, making systematic care gap closure a direct lever on plan revenue as well as member health. Higher ratings also give a plan a competitive edge at open enrollment, so consistent gap closure compounds over multiple measurement years rather than paying off only once. Fragmented data systems remain the most common obstacle. A health plan working only from its own claims data will miss gaps that were closed through a visit the claims system has not yet reflected, generating outreach that annoys members whose gap is already closed and wastes limited care management resources. Closing that data loop across claims, pharmacy, and EHR feeds is often the single highest-value step a plan can take to lift both closure rates and member experience at the same time.
Callout stat: Chronic and mental health conditions, the primary focus of most HEDIS care gap measures, account for 90% of the nation's $4.9 trillion in annual U.S. healthcare spending, according to a Health Edge white paper citing CDC data.
How care gap closure works
- Gap identification: Claims, EHR, and pharmacy data are analyzed against HEDIS and other quality measure specifications to identify members with an open gap.
- Attribution verification: The gap is checked to confirm the member is genuinely eligible for the measure and has not already completed the service through a source the data has not yet captured.
- Member outreach: Members with a confirmed gap are contacted through phone, text, mail, or portal messaging to schedule the needed service.
- Provider coordination: The plan or care team coordinates with the provider to make sure the visit is scheduled, completed, and properly documented.
- Data resubmission: Completed services are documented and coded correctly so the gap reflects as closed in the next quality reporting cycle, and any supplemental data is captured to support the measure.
Key metrics and benchmarks
Health plans track care gap closure performance through a handful of core metrics. Gap closure rate measures the share of identified open gaps successfully closed within the measurement period. Outreach-to-completion conversion rate measures how many outreach attempts result in a completed, documented service. False-gap rate measures the share of identified gaps that turn out to be closed once verified, which signals data integration problems rather than genuine care gaps. HEDIS itself spans more than 90 measures across six domains of care, and closure rates vary significantly by measure type, with simple single-visit screenings typically closing at a much higher rate than measures requiring ongoing chronic disease management. Because Star Ratings weight some measures more heavily than others, plans increasingly prioritize closure efforts by measure weight and member risk rather than working every open gap with equal intensity, concentrating outreach on the gaps that carry the greatest combined clinical and financial significance.
FAQ
What is a care gap?
A care gap is a recommended preventive screening, immunization, or chronic disease management activity, as defined by HEDIS or another quality measure set, that a member is due for but has not yet completed, based on the health plan's or provider's available data.
How does care gap closure affect Star Ratings?
HEDIS measures, which are built directly around care gaps, are major components of Medicare Advantage Star Ratings. Higher gap closure rates improve HEDIS scores, which in turn improve Star Ratings and the bonus payments and enrollment advantages tied to them.
Why do health plans sometimes contact members about gaps that are already closed?
This typically happens when a service was completed through a source the plan's data has not yet captured, such as a recent visit not yet reflected in claims. This is known as a false gap, and it highlights the importance of data integration across claims, EHR, and pharmacy sources.
What data sources are used to identify care gaps?
Health plans typically combine medical claims, pharmacy claims, and, increasingly, direct EHR data feeds from providers to identify open gaps, since relying on claims data alone can create a lag between when a service happens and when it is reflected in the data.