eHealth Exchange Annual Meeting

October 27, 2026
Austin, TX
October 27, 2026
Austin, TX
The eHealth Exchange Annual Meeting unites leaders from health systems, public health and federal agencies, payers, and health information exchanges in order to build the network that drives nationwide interoperability. Clinical Architecture is excited to join our industry peers and share insights on approaches to data quality that will support the next generation of healthcare interoperability.

Panels

October 27th

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3:00 – 3:45 pm cst

Riverbend Barn

What Does “Quality” Mean in Health Data Exchange?

We talk about data quality all the time—but what do we really mean by “quality,” and whose definition matters? As health data moves across increasingly complex networks and becomes the foundation for clinical decision-making, payer-provider exchange, analytics, and generative AI, the tolerance for uncertain or incomplete data is changing. This panel will explore how the industry defines, measures, tests, and improves the quality of exchanged health data.

Charles Harp will open the discussion from a PIQI perspective, sharing how the Patient Information Quality Improvement (PIQI) Framework approaches the definition and measurement of patient data quality. From there, panelists representing providers, HIEs/health information networks, and payers will bring their own perspectives on what quality means in practice, where current approaches fall short, and what is needed to build greater trust in exchanged data.

The discussion will move beyond any single tool or methodology to explore a broader question: How can we create meaningful, consistent approaches to data quality that support the next generation of healthcare interoperability and technology?

 

Speakers:

  • Charlie Harp – CEO, Clinical Architecture
  • John Kansky – CEO and President, Indiana Health Information Exchange
  • Arun Gopalan – Senior Director of IT Strategy and Healthcare Interoperability, DaVita

Meet with Us

Charlie Harp

Charlie Harp

Chief Executive Officer

“What we love about Pivot is the ability to drill into documents and terms, deliver them real-time, and do so at a very granular level. [Other solutions we have evaluated] don’t have anything remotely close to this to investigate or provide feedback on what is occurring.”
– Head of Product, Data Warehousing and Analytics Vendor