Evaluation of the CCAM Hierarchy and Semi Structured Code for Retrieving Relevant Procedures in a Hospital Case Mix Database.

In France, clinical procedures are coded with the French procedures classification (Classification Commune des Actes Médicaux, CCAM) and recorded in every hospital. CCAM uses hierarchical semi-structured codes which describe procedures (topography, action, access mode and/or technique). This amount of information could be analyzed and used for clinical and medico-economic evaluation. But relevant and practical data searches are difficult. In this paper we present a use case about searching for endoscopic activities in a case mix database to evaluate the relevance of the hierarchical organization and semi structured codes of CCAM in order to retrieve data already coded using this controlled vocabulary. Precision was 0.79 and recall 0.84 in the hierarchical search whereas precision was 0.94 and recall was 0.81 using part of the code related to access mode and/or technique. We discuss a revision of the CCAM by the use of an existing modeling (from the GALEN project) and better knowledge representation for each procedure.

[1]  Robert H. Baud,et al.  GALEN: a third generation terminology tool to support a multipurpose national coding system for surgical procedures , 2000, Int. J. Medical Informatics.

[2]  Stefan Schulz,et al.  Automated coding of diagnoses-three methods compared , 2000, AMIA.

[3]  C Lovis,et al.  LUCID: a semi-automated ICD-9 encoding system. , 1995, Medinfo. MEDINFO.

[4]  Jean Marie Rodrigues,et al.  The Development of CCAM: The New French Coding System of Clinical Procedures , 2003, Health information management : journal of the Health Information Management Association of Australia.

[5]  Cédric Bousquet,et al.  Standards and Biomedical Terminologies: the CEN TC 251 and ISO TC 215 Categorial Structures. A step towards increased interoperability , 2008, MIE.

[6]  James J. Cimino,et al.  Review: From Data to Knowledge through Concept-oriented Terminologies: Experience with the Medical Entities Dictionary , 2000, J. Am. Medical Informatics Assoc..

[7]  Olivier Bodenreider,et al.  Integration of the analytical and alphabetical ICD10 in a coding help system. Proposal of a theoretical model for the ICD representation , 1998, MedInfo.

[8]  Stephen B. Johnson,et al.  Accessing Heterogeneous Sources of Evidence to Answer Clinical Questions , 2001, J. Biomed. Informatics.

[9]  L. Lorenzoni,et al.  The quality of abstracting medical information from the medical record: the impact of training programmes. , 1999, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[10]  Marius Fieschi,et al.  UMLS-based conceptual queries to biomedical information databases: an overview of the project ARIANE. Unified Medical Language System. , 1998, Journal of the American Medical Informatics Association : JAMIA.

[11]  Marius Fieschi,et al.  Model Formulation: UMLS-based Conceptual Queries to Biomedical Information Databases: An Overview of the Project ARIANE , 1998, J. Am. Medical Informatics Assoc..