Since the introduction of diagnosis-related groups in the German healthcare system, classifying patient diagnosis and procedures with controlled vocabularies have become mandatory and thus creating a large dataset for secondary use in biomedical research. In this paper we present the analysis of an ICD dataset with regards to potentially reimbursement motivated classification and the effects on precision and recall when considering the change history of ICD codes.