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Comprehensive terminology management, enterprise semantic interoperability, and normalization in one solution.

Terminology normalization, message format transformation, and data quality validation in a single application.

The ultimate patient data quality measurement tool that scores the quality of patient information in flight or at rest.

Access thousands of content assets that are curated and managed by our experienced team of clinicians and terminology experts.

Our data experts accelerate implementation, streamline data on-boarding/migration, supplement internal resources or assume complete outsourcing of data quality services.

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Condition Value Set Conundrums: Six Challenges in Value Set Authoring and Governance

Condition Value Set Conundrums: Six Challenges in Value Set Authoring and Governance

by Victor Lee | Blog, Healthcare Data Quality, Healthcare Interoperability, Healthcare Terminology

By: Victor Lee, MD At first glance, condition value sets seem straightforward: assemble the codes that represent a diagnosis and move on. In reality, defining their scope requires thoughtful consideration, and the decision-making process is often riddled with...
Taking a Closer Look at Healthcare Data Quality in 2025

Taking a Closer Look at Healthcare Data Quality in 2025

by Jaime Lira | Blog, Healthcare Data Quality, Healthcare Interoperability

Let’s talk about the quality of healthcare data. This is our primary focus and a favorite topic of discussion at Clinical Architecture. From a technology standpoint, many of the challenges healthcare organizations face with interoperability, quality measures, clinical...
Unintended Consequences of Poor-Quality Value Sets: A Case Series

Unintended Consequences of Poor-Quality Value Sets: A Case Series

by Victor Lee | Blog

By: Dr. Victor Lee Value sets are collections of coded clinical and administrative concepts that are critical components of analytics, research, clinical decision support, and many other health IT use cases. The accuracy of insights and the overall value derived from...
A Year in the Evolution of Data Quality

A Year in the Evolution of Data Quality

by Jaime Lira | Blog, Healthcare Data Quality, Healthcare Interoperability

Healthcare data insights from the latest webinar, “A Year in the Evolution of Data Quality” Data quality in healthcare is more crucial than ever, influencing everything from clinical decision-making to public health reporting. In our recent webinar, A Year...
Tips for Effective Value Set Authoring and Maintenance

Tips for Effective Value Set Authoring and Maintenance

by Jaime Lira | Blog

Webinar: Are You Getting Value From Your Value Sets? Value sets can be an effective tool for analyzing clinical data and identifying critical gaps in patient care. Clinical Architecture believes that for that tool to be effective, it needs to fit in to the 6 C’s...
Information Management #3 – The Information Ecosystem

Information Management #3 – The Information Ecosystem

by Charlie Harp | Blog

The Healthcare Information Ecosystem By: Charlie Harp It all starts with an epiphany.  This is the moment that the leadership of a healthcare enterprise realizes that the key to efficiency, risk mitigation, quality and better outcomes is good information.  Having...
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