26 Aug IMAT to Showcase Health Data Quality for HIEs at Civitas 2026

Top Takeaways

• IMAT Solutions will be a Silver Sponsor of the 2026 Civitas Annual Conference, September 22–24 in Arlington, Virginia.
• HIEs have an opportunity to expand their role beyond data exchange by providing trusted data infrastructure for population health, quality reporting, analytics, AI, value-based care, and statewide healthcare initiatives.
• Expanding those services requires HIEs to understand the quality, completeness, consistency, and usability of the data moving through their networks.
• The IMAT Health Data Quality Assessment can help HIEs establish a measurable baseline of their data health and identify gaps that could limit current and future services.
• Conference attendees can connect with IMAT to discuss how stronger data quality can help HIEs increase their value to participating organizations and the communities they serve.

Health information exchanges have spent years building the connections that allow healthcare data to move across organizations and communities. The next opportunity is getting more value from all of that connected information.

That conversation will be front and center when healthcare leaders gather for the 2026 Civitas Annual Conference, September 22–24 in Arlington, Virginia.

IMAT Solutions is proud to be a Silver Sponsor of this year’s event, which brings together leaders, decision makers, implementers, and innovators working at the intersection of health data, interoperability, and care transformation.

For IMAT, the conference comes at an important time for HIEs. As healthcare organizations look to improve population health, advance value-based care, prepare data for AI, support digital quality measurement, and participate in initiatives such as Rural Health Transformation, HIEs are well positioned to provide the data infrastructure connecting those efforts.

The Role of the HIE Continues to Expand

HIEs already occupy a unique position within healthcare communities. They connect hospitals, clinics, payers, public health agencies, and other organizations while bringing together information from a wide range of clinical and administrative systems.

That foundation creates opportunities to provide services well beyond traditional exchange.

Trusted HIE data can support population health management, quality reporting, analytics, care coordination, value-based care, public health, AI, and other initiatives that require a more complete view of patients and populations.

Expanding into these areas can also help HIEs demonstrate greater value to participants, attract new partners, and strengthen their long-term relevance and sustainability.

But the value of those services depends heavily on the data underneath them.

HIEs Need Visibility into the Health of Their Data

Connecting more organizations inevitably introduces greater data complexity. Information can arrive from multiple EHRs, labs, claims systems, pharmacies, and other sources, each with its own terminology, formats, coding practices, and levels of completeness.

An HIE may successfully receive and exchange that information while still encountering inconsistencies, duplicates, missing data, or other issues that affect downstream use.

Those issues become increasingly important as HIE data is used for more sophisticated purposes. Quality measurement requires confidence in the completeness and accuracy of clinical information. Population health programs need reliable longitudinal records. Analytics depend on consistent definitions. AI requires high-quality inputs that can be used with confidence.

Understanding the condition of the data therefore becomes an important part of expanding what an HIE can offer its community.

Start with a Health Data Quality Assessment for HIEs

At the Civitas Annual Conference, IMAT will be highlighting the IMAT Health Data Quality Assessment as a practical starting point for HIEs that want greater visibility into their data environment.

Powered by the IMAT Intelligence platform, the assessment evaluates healthcare data across five critical dimensions: data integration, normalization, completeness, accuracy, and AI readiness.

Rather than relying on assumptions about data quality, HIE leaders receive a documented baseline of their current data health, key findings and risk areas, targeted opportunities for improvement, and practical recommendations for strengthening their data foundation.

For an HIE, that insight can help identify where data issues may be affecting existing services while also informing plans for new capabilities.

An HIE considering expanded analytics, quality reporting, AI, population health, payer services, or Rural Health Transformation initiatives can better understand whether the underlying data is prepared to support those efforts before significant investments are made.

Turning Exchange Into Greater Value

The healthcare industry has made substantial progress connecting data. HIEs helped make much of that progress possible.

Their next chapter offers an opportunity to build on those connections and help communities put healthcare information to work in new ways.

That means giving participating organizations information that is not only accessible, but also accurate, complete, normalized, and ready to support the growing number of clinical, operational, and strategic priorities that depend on it.

IMAT looks forward to discussing that opportunity with HIE leaders and healthcare data organizations at the 2026 Civitas Annual Conference.

Attending Civitas? Connect with IMAT Solutions in Arlington to learn how the IMAT Health Data Quality Assessment can help your HIE identify data gaps, strengthen data quality, and build a trusted foundation for analytics, quality reporting, population health, AI, and new community services.

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