%0 Journal Article %J Medical Informatics Europe %D 2022 %T Mapping of ICD-O tuples to OncoTree codes using SNOMED CT post-coordination %A Ohlsen, Tessa %A Kruse, Valerie %A Krupar, Rosemarie %A Alexandra Banach %A Ingenerf, Josef %A Drenkhahn, Cora M. %P 307--311 %R 10.3233/SHTI220464 %S Studies in Health Technology and Informatics %V 294 %X 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. %8 05/2022