Mapping SNOMED CT TO ICD-11: A guide for coders
May 5, 2026 | Karla VonEschen
Read time: 3 mins
As medical coders, we spend much of our time navigating familiar code sets like Current Procedural Terminology (CPT®), Healthcare Common Procedure Coding System (HCPCS), and International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM). Over the years, we’ve become fluent in medical terminology because accurate coding depends on it. One terminology that often sits outside everyday coding conversations, however, is Systematized Nomenclature of Medicine – Clinical Terms, or SNOMED CT. Yet its role in healthcare data is becoming increasingly important.
SNOMED CT has been around for more than 20 years and is used worldwide to support standardized clinical documentation. In the United States, it primarily lives inside electronic health records, supporting interoperability and clinical data exchange rather than direct code assignment. Still, SNOMED CT matters to coders because it often serves as the clinical foundation that maps to classification systems like ICD-10-CM today and HCPCS in the future.
With more countries adopting ICD-11, I believe it’s important for coding professionals to understand how SNOMED CT maps to this newer classification system and where challenges arise. ICD-11 offers richer clinical detail through post coordination and extension codes, which help with stronger analytics, population health insights and AI-driven decision support. At the same time, SNOMED CT’s highly granular, compositional structure does not always align neatly with ICD-11’s framework.
In my full article for JustCoding, I walk through real mapping examples that illustrate common issues coders may encounter. These include differences in terminology structure, mismatches in granularity and situations where additional clinical detail is required to achieve an accurate ICD-11 code. In some cases, there is no exact match at all, which highlights why clinical understanding and careful interpretation remain essential skills.
Why does this matter now? Even though ICD-11 has not yet been implemented in the U.S., global data comparison and interoperability are already here. Accurate terminology mapping supports safer patient care, better data quality, and more meaningful analytics. For coders, CDI professionals, and revenue integrity teams, building awareness now helps prepare for future change while strengthening current documentation practices.
To learn more about this topic, read my full article on JustCoding.
Karla VonEschen, MS, CCDS O, CPC, CPMA, is a clinical analyst at Solventum.
