Health plans are under increasing revenue pressure. Quality Programs and HEDIS measures continue to evolve. As digital quality reporting requirements accelerate, timely access to reliable clinical data for payers is more critical than ever. In 2025, NCQA introduced new measures focused on breast cancer follow‑up care and blood pressure control, updated existing eye exam and mental health follow‑up requirements, and retired several long‑standing measures related to antidepressant management and pain assessment. At the same time, the industry is moving rapidly toward full digital reporting. By 2030, all measures must be submitted using ECDS and FHIR®/CQL formats.
To remain competitive, compliant, and audit‑ready, health plans must proactively modernize their quality operations and strengthen how they collect, manage, and activate clinical data.
The Challenge of Evolving HEDIS Measures
HEDIS measures continuously evolve to align with evidence‑based clinical best practices, improve the efficiency of care delivery, and advance standardized digital data exchange. While these changes are intended to strengthen quality measurement, they create significant challenges for health plans. Without modernized approaches to collecting and activating clinical data, health plans face increased administrative burdens, compliance risk, and potential revenue loss tied to value‑based programs. As measures evolve, gaps in clinical data make it harder to report accurately, identify care gaps, maintain quality scores, and meet digital reporting requirements.
Health plans that automate clinical data collection have an opportunity to improve the quality of member care, reduce administrative burdens, and increase potential to earn incentives.
Impacts of Changing Requirements on Health Plans
Changing HEDIS and regulatory requirements place significant operational and financial strain on health plans, requiring adaptations across workflows, documentation standards, and reporting processes. Each measure update can trigger multiple downstream changes, which entail specific expertise to implement. The growing emphasis on digital quality measurement and ECDS reporting is driving plans to update data infrastructure as hybrid and manual measures are phased out, increasing pressure to update legacy systems and processes.
Health plans are expected to capture and report more robust social drivers of health and demographic data, including race, ethnicity, gender identity, and disability status. These data elements are often incomplete or inconsistently collected.
Timely provider collaboration has also become more critical, as providers need streamlined workflows and better tools to meet reporting demands while managing already heavy clinical workloads. Without strong alignment and modernized data capabilities, these evolving requirements can undermine performance, increase administrative burdens, and put member care and revenue at risk.
Five Steps for Building a Future‑Ready HEDIS Strategy
1. Invest in interoperability and automated clinical data exchange
Future‑ready HEDIS performance starts with reliable clinical data for payers. Automated data exchange reduces reliance on manual chart retrieval, providing health plans with timely, measure‑ready digital clinical data. This foundation enables earlier identification of care gaps, stronger performance scores, and more accurate reporting
2. Establish year‑round communication loops with provider networks
Ongoing collaboration with providers turns quality measurement into a continuous process rather than an annual year-end scramble. Consistent communication helps providers clearly understand changes in HEDIS specifications, documentation requirements, and data expectations. This improves the ability to reach performance targets without adding unnecessary burdens to clinical workflows.
3. Standardize processes to align with upcoming specification updates
Frequent HEDIS changes demand operational agility. Standardizing workflows around anticipated specification updates allows health plans to adapt faster, minimize rework, and reduce last‑minute reporting risk. This consistency helps ensure alignment with evolving measures while protecting performance and compliance.
4. Leverage clinically relevant data and analytics to identify care gaps with precision
Outcomes improve when plans move beyond static measure scores to actionable insights. By applying analytics to high‑quality clinical data, teams can more accurately identify care gaps, prioritize high‑impact interventions, and proactively manage performance, driving meaningful improvements across populations.
5. Work with experienced partners who can prove mastery of data, process, and outcomes
Navigating constant HEDIS evolution is complex, and success depends on execution. Experienced partners bring proven expertise in clinical data integration and automation, helping health plans enhance operational efficiency.
As HEDIS continues to evolve, health plans that update their quality programs and adopt ongoing digital data access solutions will be best positioned to sustain strong, competitive performance. Shifting the mindset from annual, retrospective reporting to year‑round quality-metric tracking results in faster, more targeted care-gap closure. Now is the time to modernize quality measurement processes to improve member outcomes, boost ratings, and protect long‑term revenue.
Explore how digital clinical data for payers can help you stay ahead of HEDIS changes and improve performance.
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