For decades, healthcare quality programs have been built around measurement. Health plans collect data, calculate HEDIS® measures, identify gaps, report results, and determine how performance compares with benchmarks.
Measurement remains essential. But it is only the beginning. The larger opportunity is to use quality intelligence continuously throughout the year to:
- Identify opportunities for improvement
- Understand which members need attention most
- Take the clinical and operational steps most likely to improve outcomes
Rather than remaining primarily retrospective, quality becomes a continuous cycle:
Measure → Identify → Prioritize → Intervene → Improve → Repeat
For health plans — particularly small and mid-sized organizations with limited clinical and operational capacity — making this shift can transform quality data from a reporting requirement into an engine for better performance.
Measurement Is Becoming More Actionable
HEDIS remains one of healthcare’s most important frameworks for understanding quality performance. According to NCQA, more than 235 million people are enrolled in health plans that report HEDIS results, making HEDIS one of healthcare’s most widely used performance measurement tools. But the measurement environment itself is changing.
HEDIS is evolving toward a more digital model, incorporating more clinical data and moving toward standardized digital measurement. NCQA is also explicitly enabling digital HEDIS measures to generate insights for uses beyond reporting, including quality improvement.
This change creates an important opportunity.
Instead of waiting until the end of a measurement period to determine what happened, health plans can increasingly use quality data to understand what is happening now — and decide what to do about it.
The question then becomes: How do we turn a quality signal into the right action for the right member at the right time?
Moving From Gaps in Care to Opportunities for Action
Identifying a care gap is only the first step. Knowing that a gap exists does not automatically close it.
A plan may identify thousands of members who are overdue for screenings, follow-up appointments, medication adherence activities, preventive services, or chronic condition interventions. Not every care gap needs the same response and treating them all equally can quickly overwhelm clinical teams.
The next step is prioritization. Plans need to understand the most important opportunities, the members most likely to benefit from intervention, and any barriers that might interfere with action. Effective prioritization may consider factors such as:
- Clinical risk and member needs
- Measure impact and urgency
- Previous outreach and engagement
- Access barriers
- Social and demographic factors
- Provider relationships
- Likelihood that an intervention can successfully close the gap
The goal is not to give teams more work. It is to help them focus on the work that matters most.
Connecting Quality Intelligence With Clinical Action
Prioritization only creates value when it leads to intervention, bringing quality programs into closer alignment with clinical operations. Depending on the member and the measure, the appropriate intervention might include outreach, care coordination, appointment scheduling, medication support, education, provider engagement, medical record retrieval, or escalation to a clinician.
These actions require connecting capabilities that have traditionally operated separately: HEDIS measurement, analytics, member engagement, clinical services, care management, and provider operations.
Consider a member who has been identified as having an open diabetes-related care gap. A quality workflow might record the gap and include the member in an outreach campaign.
A more connected operating model can go further:
- Measure: Determine current performance against the relevant quality measure
- Identify: Find members with open or emerging gaps
- Prioritize: Determine which members should be addressed first based on clinical and operational factors
- Intervene: Coordinate the appropriate member, provider, or clinical action
- Improve: Track whether the intervention resulted in care delivery and gap closure
- Repeat: Continuously refresh data and identify the next best opportunities for action
Quality becomes a closed-loop process rather than a sequence that ends with measurement.
Bringing Providers Into the Quality Loop
This model also creates an important bridge between payer and provider quality operations.
Many quality gaps ultimately require action at the point of care. A health plan may identify that a service is missing, but closing the gap frequently depends on a provider delivering, documenting, or coordinating that care.
Better quality performance depends on plans and providers having the right information at the right time, and being able to act on it.
That includes giving provider organizations clearer visibility into actionable gaps, reducing administrative friction around quality programs, improving clinical-data exchange, and helping care teams focus on members who require attention.
The growth of electronic clinical data within HEDIS is also supporting the broader shift toward digital quality measurement (dQM). As NCQA expands Electronic Clinical Data Systems reporting and advances standards-based digital HEDIS measures, health plans can increasingly use clinical data not only to calculate performance, but also to identify gaps and support more timely quality improvement.
A More Scalable Model for Small and Mid-Sized Health Plans
While large national health plans often have extensive analytics, clinical, technology, and outreach capabilities supporting quality performance, small and mid-sized plans often have the same expectations for quality performance without the same scale of resources. For this reason, operating-model design is especially important.
Simply adding more staff — analysts, abstractors, outreach coordinators, or clinicians — is difficult to scale and sustain. Plans need ways to combine technology, data, clinical expertise, and operational execution so that limited clinical and operational resources can concentrate on work that requires human judgment.
An integrated quality model can help plans extend capabilities across the quality lifecycle — from HEDIS measurement and gap identification through clinical intervention and performance improvement — without having to build and staff every function in-house. The goal is to help teams spend their time and resources where they can make the biggest difference.
Turning Quality Intelligence Into Action
Quality reporting will continue to matter. HEDIS, Stars, accreditation, and other quality frameworks remain critical indicators of health plan performance. Medicare Advantage Star Ratings continue to influence consumer choice, plan performance, and financial outcomes. But reporting describes performance after care has occurred.
Quality improvement requires teams to continuously connect the data, decide where to focus, take action, and see what worked,
This shift embodies the move from quality measurement to quality in action.
For small and mid-sized plans, in particular. that means creating a more connected model across HEDIS, Stars, clinical services, member engagement, and provider operations — one that helps teams focus resources where they can have the greatest impact.
Sagility brings together HEDIS and Stars Performance Solutions with Synchrony, its AI-led orchestration layer, to connect quality insights, workflows, and action across the quality lifecycle.
Quality measurement remains the foundation. The greater opportunity is to use that intelligence continuously to guide earlier action, improve performance, and create a more responsive quality operating model.
