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1.
J Am Med Inform Assoc ; 31(8): 1631-1637, 2024 Aug 01.
Article in English | MEDLINE | ID: mdl-38867279

ABSTRACT

OBJECTIVE: To explore the feasibility and challenges of mapping between SNOMED CT and the ICD-11 Foundation in both directions, SNOMED International and the World Health Organization conducted a pilot mapping project between September 2021 and August 2022. MATERIALS AND METHODS: Phase 1 mapped ICD-11 Foundation entities from the endocrine diseases chapter, excluding malignant neoplasms, to SNOMED CT. In phase 2, SNOMED CT concepts equivalent to those covered by the ICD-11 entities in phase 1 were mapped to the ICD-11 Foundation. The goal was to identify equivalence between an ICD-11 Foundation entity and a SNOMED CT concept. Postcoordination was used for mapping to ICD-11. Each map was done twice independently, the results were compared, and discrepancies were reconciled. RESULTS: In phase 1, 59% of 637 ICD-11 Foundation entities had an exact match in SNOMED CT. In phase 2, 32% of 1893 SNOMED CT concepts had an exact match in the ICD-11 Foundation, and postcoordination added 15% of exact match. Challenges encountered included non-synonymous synonyms, mismatch in granularity, composite conditions, and residual categories. CONCLUSION: This pilot project shed light on the tremendous amount of effort required to create a map between the 2 coding systems and uncovered some common challenges. Future collaborative work between SNOMED International and WHO will likely benefit from its findings. It is recommended that the 2 organizations should clarify goals and use cases of mapping, provide adequate resources, set up a road map, and reconsider their original proposal of incorporating SNOMED CT into the ICD-11 Foundation ontology.


Subject(s)
International Classification of Diseases , Systematized Nomenclature of Medicine , Pilot Projects , Humans
2.
AMIA Annu Symp Proc ; 2017: 724-733, 2017.
Article in English | MEDLINE | ID: mdl-29854138

ABSTRACT

Surgical procedures are coded in SNOMED CT in the electronic health record and in ICD-10-PCS in administrative systems. We compared the logical definitions of SNOMED CT concepts to the ICD-10-PCS axial components to identify overlap and gaps. The biggest discrepancy was in the surgical approach which was specified in all ICD-10-PCS codes but only in 8.7% of SNOMED CT surgical procedures. Among the top 100 commonly used ICD-10-PCS codes, 25% could be matched fully in meaning and logical definition to pre-coordinated SNOMED CT concepts. Using post-coordination, it was possible to represent the full meaning of 86% of ICD-10-PCS codes. Logical mapping between SNOMED CT and ICD-10-PCS is feasible but will be more productive if more SNOMED CT concepts can become fully-defined. Short of full logical matching, partial logical matches can also be useful in suggesting candidate maps for expert review and to support interactive post-coordination.


Subject(s)
International Classification of Diseases , Surgical Procedures, Operative/classification , Systematized Nomenclature of Medicine , Belgium , Electronic Health Records , Humans , United States
3.
AMIA Annu Symp Proc ; 2016: 570-579, 2016.
Article in English | MEDLINE | ID: mdl-28269853

ABSTRACT

In 2015 ICD-10-PCS replaced ICD-9-CM for coding medical procedures in the U.S. We explored two methods to automatically map SNOMED CT surgical procedures to ICD-10-PCS. First, we used MetaMap to lexically map ICD-10-PCS index terms to SNOMED CT. Second, we made use of the axial structure of ICD-10-PCS and aligned them to defining attributes in SNOMED CT. Lexical mapping produced 45% of correct maps and 44% of broader maps. Ontological mappings were 40% correct and 5% broader. Both correct and broader maps will be useful in assisting mappers to create the map. When the two mapping methods agreed, the accuracy increased to 93%. Reviewing the MetaMap generated body part mappings and using additional information in the SNOMED CT names and definitions can lead to better results for the ontological map.


Subject(s)
Clinical Coding/methods , International Classification of Diseases , Systematized Nomenclature of Medicine , Humans
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