Building a Future-Proof Quality Improvement Program

For decades, the engine room of healthcare quality measurement has run on a clunky, resource-intensive combination of administrative claims and manual labor.

If you’ve ever worked in health plan quality improvement or provider office administration during “HEDIS® season,” you know the drill: chasing down faxes, abstracting hundreds of thousands of medical records, and trying to patch together a retrospective picture of care delivered months ago.

But a silent revolution is underway. The way HEDIS® (Healthcare Effectiveness Data and Information Set) and other digital quality measurements are collected is undergoing its biggest transformation since the 1990s. We are moving from a system of retrospective abstraction to a future of real-time digital clinical data exchange.

If your organization isn’t preparing for this shift, you are already falling behind as some measures have already transitioning to Electronic Clinical Data Systems (ECDS) measures. Here is what is changing, what is being required, and why it matters.

What’s changing: The why and how of the transition

Traditionally, HEDIS® reporting relied heavily on two methods:

1. Administrative: Using insurance claims data. This is efficient but lacks clinical detail.
2. Hybrid: Pulling a sample of charts and manually abstracting details not found in claims (like a blood pressure reading or a specific lab result).

The National Committee for Quality Assurance (NCQA), which administers HEDIS®, has set a clear course: Manual chart review is going away. By 2030, NCQA aims for HEDIS® reporting to be fully digital.

The problem with the old way

The traditional hybrid model is:

• Burdensome: It requires immense administrative time from both plans and providers.
• Retrospective: It measures last year’s care this year, making it impossible to improve care in the moment.
• Siloed: Data is often locked in incompatible electronic health records (EHRs) or paper charts.

The new way: Digital quality measurement

The future of quality data collection is built on ECDS, which encourages the exchange of digital clinical data directly from the source where care is documented. This includes:

• EHRs
• Health Information Exchanges (HIEs)
• Case management systems
• Patient registries

The technical foundation for this new era is Fast Healthcare Interoperability Resources (FHIR®). FHIR is a global data standard that acts as a universal language, allowing different IT systems to exchange clinical data seamlessly and automatically. Instead of sending a fax, an EHR can talk directly to a health plan’s quality engine.

What is being required: A new rulebook for data

This is not just a gentle suggestion; it is a mandate driven by regulators. The Centers for Medicare & Medicaid Services (CMS) has aligned its national quality strategy with NCQA’s digital roadmap.

Here are the concrete requirements your organization must prepare for:

1. The retirement of hybrid measures

NCQA is systematically retiring traditional hybrid reporting for key measures. If a measure has transitioned to ECDS-only reporting requirements, plans can no longer use manual chart review to supplement their claims. They must have the digital capabilities to ingest that clinical data electronically from providers.

• For example: Key measures like Childhood Immunization Status and Cervical Cancer Screening are already transitioning to ECDS-only.

2. Standardized and interoperable data

Simply having digital data isn’t enough. Regulators are requiring data that adheres to strict standards. This means:

• Interoperability: Data must be exchanged via standardized APIs, with a heavy focus on FHIR®-based exchange.
• Data quality and validation: CMS and NCQA are increasing focus on the provenance (source) and completeness of the data. Programs like NCQA’s Data Aggregator Validation (DAV) are becoming critical to ensure that aggregated data can be trusted for reporting.

3. Increased race and ethnicity stratification (Health Equity)

You cannot manage what you do not measure. A major new requirement is the mandatory stratification of HEDIS® measures by race and ethnicity. Organizations are now required to collect and report this data using direct (self-reported) or indirect (geocoding) methods to identify and close disparities in care.

The ultimate goal: From reporting to action

While the compliance aspect of these changes can feel overwhelming, the destination is incredibly exciting. The entire point of digital data collection is to move healthcare quality from a retrospective paperwork exercise to proactive care improvement.

When we have real-time, digital clinical data exchange, we get:

• Continuous improvement: Instead of realizing in April that your diabetic members missed their A1c tests last year, you can see the gap today and intervene.
• Reduced burden: Automation reduces the time needed to review faxes and chart abstractors, freeing up clinical staff to focus on patient care.
• Standardized insights: Quality is measured the same way across every office, hospital, and plan, allowing for true “apples-to-apples” comparison.

Final thought: Are you ready?

The journey to digital HEDIS® reporting is complex, but it is not optional. It requires leadership buy-in, investment in FHIR®-based infrastructure, new data governance policies, and strong partnerships between payers and providers.

The future of quality measurement is digital. How is your clinical data acquisition strategy positioned to meet the rigorous requirements set forth?