Mapping of ICD-O tuples to OncoTree codes using SNOMED CT post-coordination
Title | Mapping of ICD-O tuples to OncoTree codes using SNOMED CT post-coordination |
Publication Type | Journal Article |
Year of Publication | 2022 |
Authors | Ohlsen T., Kruse V., Krupar R., Banach A., Ingenerf J., Drenkhahn C.M. |
Journal | Medical Informatics Europe |
Volume | 294 |
Pages | 307--311 |
Date Published | 05/2022 |
ISSN | 1879-8365 |
Abstract | Around 500,000 oncological diseases are diagnosed in Germany every year which are documented using the International Classification of Diseases for Oncology (ICD-O). Apart from this, another classification for oncology, OncoTree, is often used for the integration of new research findings in oncology. For this purpose, a semi-automatic mapping of ICD-O tuples to OncoTree codes was developed. The implementation uses a FHIR terminology server, pre-coordinated or post-coordinated SNOMED CT expressions, and subsumption testing. Various validations have been applied. The results were compared with reference data of scientific papers and manually evaluated by a senior pathologist, confirming the applicability of SNOMED CT in general and its post-coordinated expressions in particular as a viable intermediate mapping step. Resulting in an agreement of 84,00 % between the newly developed approach and the manual mapping, it becomes obvious that the present approach has the potential to be used in everyday medical practice. |
DOI | 10.3233/SHTI220464 |
PubMed Link |