ICD-10 Concept search
ICD-10 Concept search
Synopsis
This page contains queries that uses the Snomed ICD-10 ontology to return ICD-10 coded entities extracted from the FINDINGS and IMPRESSIONS sections of Radiology reports.
This page contains two queries:
- The first query finds ICD-10 mapped entities and returns the ICD-10 code and corresponding Snomed description.
- The second query extends the first by also retrieving the Snomed concept ID and fully-qualified concept description. This is possible because the NLP API performs post-coordination of entities after data extraction. Moreover, the NLP API uses the ICD-10 mapping from Snomed CT ensuring that every ICD-10 mapped entity is also mapped to a Snomed concept ID.
Processing Requirements
This query assumes that at least the following processing options were enabled:
--feature snomed-ontology, snomedicd10-ontology--store-sections-and-sentences
For this query, Radiology imaging studies were processed with the following document type:
--category Radiology--subcategory CT
Clinical Context
The World Health Organization’s (WHO) International Statistical Classification of Diseases and Related Health Problems (ICD) 10th revision (ICD-10) is a widely used medical coding system, used for billing and data structuring purposes world-wide. Unfortunately, while its textual description of concepts is highly specific (e.g. Injury, poisoning and certain other consequences of external causes), many clinicians would not use such long and highly specific descriptions in their clinical notes.
The NLP API uses the SNOMED-to-ICD-10 mappings provided in the SNOMED ontology to map commonly-used clinical terms to ICD-10 concepts. The query below is an example of how these highly useful ICD-10 concepts can be extracted from medical text that uses common, colloquial medical language. In addition, the NLP API provides the SNOMED-to-ICD-10 mapping guidance that can be used to further refine the coding via manual methods.
SQL query
Query 1: Find ICD-10 coded entities
SQL
Query 2: ICD-10 coded entities and corresponding Snomed concepts
SQL
Next steps
This query pattern is applicable to other report types and sections. You may also want to filter the dataset returned limiting it to just those terms which were experienced by the patient by using the experiencer relation. An example of this query pattern is provided here.

