It’s About Time: Fixing the HEDIS® Timeline – Part 1. Inside the Annual Release Cycle

This two-part blog addresses two related “time” problems facing health plans pursuing digital HEDIS® measurement: 

• Part 1: What the yearly cycle of release, validation, and deployment should look like in the digital future 

• Part 2: How health plans can realistically transition from traditional HEDIS® to digital quality measurement by 2030 

These two timelines are deeply connected. Without a stable annual cycle, the industry will struggle to operationalize digital measurement. And without a realistic multi-year transition plan, health plans will never reach the point where they can leverage the full benefits of digital quality.

Part 1: Inside the Annual Release Cycle 

The traditional HEDIS® timeline was designed for retrospective reporting. That made it operationally manageable but limited quality teams’ ability to intervene during the measurement year. 

Digital measurement using technologies like FHIR and Clinical Quality Language (CQL) creates the opportunity for much faster quality improvement cycles. But those cycles only work if the operational timeline enables measures to be deployed early enough in the measurement year to influence care. 

NCQA has already made important improvements toward prospective digital quality workflows. However, the current digital timeline still reflects many of the constraints of the legacy retrospective model. 

To unlock the real value of digital measurement, the industry needs a stable and predictable annual cadence for: 

• Measure specification release 

• NCQA HEDIS® FHIR Implementation Guide (IG) updates 

• HEDIS® CQL measure package releases from NCQA 

• Vendor validation 

• Customer deployment 

Vendors especially need a reliable, well-understood timeline aligned with their own development cycles and customer implementations. 

The new digital ecosystem enables much faster deployment cycles. Ideally, health plans should receive validated measures as close as possible to the start of the measurement year, giving them the time and data needed to drive prospective compliance. 

Here’s how the three timelines compare: 

Current Traditional Timeline 

In this model, many health plans do not receive final operational measures until well into the measurement year, making prospective intervention nearly impossible. Plans often try to anticipate measure changes and run prior-year logic with adjusted dates, but this adds administrative burden and manual effort. 

Current Digital Timeline (2026) 

This is a meaningful step forward, but it still delivers operational measures too late to maximize prospective impact. The architecture and process are right; everything just needs to happen a few months earlier. 

Ideal Digital Timeline (Going Forward) 

This approach would allow health plans to begin the measurement year with validated measures already deployed, unlocking the full promise of digital quality. 

Why This Timeline Matters 

Several practical factors make this shift essential. 

1. Implementation guides must come early

New implementation guides should ideally be released several months before measure logic so health plans can adjust their data pipelines. If that isn’t possible, the IG should at minimum arrive alongside the initial measure release. 

2. Not all measures need to ship at the same time

Today, NCQA releases all measures simultaneously. But in reality, most annual updates are relatively simple, while a smaller subset involves major logic changes or entirely new measures. A staged release model could accelerate the entire ecosystem. 

A practical approach might look like this: 

• First release (~80% of measures): straightforward updates released roughly one month after the spec 

• Second release (~20%): complex updates and new measures released approximately one month later 

This would allow vendors and health plans to begin validation and implementation on the majority of measures much earlier, rather than waiting for everything to be finalized at once. 

This approach would allow health plans to begin the measurement year with validated measures already deployed, unlocking the full promise of digital quality. 

In Part 2, we’ll break down what a realistic transition from traditional HEDIS® to digital quality measurement by 2030 looks like for health plans.

The Bottom Line 

The path to digital quality measurement depends on solving these two interrelated time problems simultaneously.

First, the industry needs a stable annual timeline that puts validated measures in health plans’ hands early enough to support prospective care improvement, not just retrospective reporting.

Second, health plans need a deliberate multi-year transition strategy that systematically moves them from traditional HEDIS® operations to a fully digital measurement ecosystem.

Solve both, and digital measurement can finally deliver on its promise: using quality data during the measurement year to improve care, not just to report on it after the fact.