Methods Inf Med 1998; 37(03): 254-259
DOI: 10.1055/s-0038-1634529
Original Article
Schattauer GmbH

Conversion Problems concerning Automated Mapping from lCD-10 to lCD-9

S. Schulz
1   Department of Medical Informatics, University of Freiburg, Freiburg, Germany
,
A. Zaiss
1   Department of Medical Informatics, University of Freiburg, Freiburg, Germany
,
R. Brunner
1   Department of Medical Informatics, University of Freiburg, Freiburg, Germany
,
D. Spinner
1   Department of Medical Informatics, University of Freiburg, Freiburg, Germany
,
R. Klar
1   Department of Medical Informatics, University of Freiburg, Freiburg, Germany
› Author Affiliations
Further Information

Publication History

Publication Date:
14 February 2018 (online)

Abstract

The increasing parallel use of ICD-9 and ICD-10 complicates the comparability of coded diagnoses. This is the reason why we developed a symmetric table for interactive conversion between ICD-9 and ICD-10, based on a vector space text-retrieval method that resulted in unambiguous mapping from ICD-9 to ICD-10 in 64%, from ICD-10 to ICD-9 in 87% of all three- and four-character classes of the tabular list. Out of the remaining 13% of multi-valued relations, a table for automated mapping from ICD-10 to ICD-9 was created. In 9% of cases, the selection offered no problems. A compromise between preserving information content and maintaining the logical integrity had to be found in 2.4%; in 1.6% automated mapping was impossible because of newly defined concepts and structural differences between ICD-9 and ICD-10 that are not counterbalanced by a consistent system of residual categories. We recommend that in a future revision of the ICD, compatibility with the then existing classification system should be considered.

 
  • REFERENCES

  • 1 Côté RA, Roth well DJ. The classification-nomenclature issues in Medicine: a return to natural language. Med Infor 1989; 14: 25-41.
  • 2 NHS: A Guide to the use of tables of equivalence between ICD-9 and ICD-10. Document Version 3.0, IMG Reference F6110 NHS Executive; Woodgate, London: 1995
  • 3 Coté RA, Rothwell DJ. et al. SNOMED International. Chicago: College of American Pathologists; 1995
  • 4 The International Classification for Nursing Practice. Alpha Version. DIHNR, Copenhagen: 1996
  • 5 Chute CG, Cohn SP, Campbell KE, Oliver DE, Campbell JR. The content coverage of clinical classifications. JAMIA 1996; 3: 224-33.
  • 6 Ingenerf J. Taxonomic Vocabularies in Medicine – The Intention of Usage determines different established structures. In: Greenes RA, Peterson HE, Protti DJ. eds. Proc. of the 8th. World Congress on Medical Informatics (MEDINFO-95) in Vancouver, Canada. 2327. July 1995. Amsterdam: North-Holland; 136-9.
  • 7 Koller S, Wagner G. Handbuch der Medizinischen Klassifikation. Stuttgart: Schattauer-Verlag; 1975
  • 8 Anderson J. Requirements of computer compatible institutional disease classification for medical management in the United Kingdom. In: Pole of Informatics in Health Data Coding and Classification Systems. Coté RA, Protti DJ, Scherrer JR. eds. North Holland, Amsterdam: 1985: 235-50.
  • 9 Klar R, Zaiss A. Conceptual Classifications and Nomenclatures in Medicine. In: Bock HH, Polasek W. eds. Data Analysis and Information Systems. 19th Annual Conference of the Gesellschaft für Klassifikation e.V. University of Basel. March 8-10 1995. Berlin: Springer; 1996: 380-95.
  • 10 International Statistical Classification of Diseases and Related Health Problems. Tenth Revision. World Health Organization; Geneva: 1992
  • 11 ICD-9-CM: International Classification of Diseases, 9th revision, clinical modification, 5th edition. Medicode, Salt Lake City: 1996
  • 12 Zintel HA. The Family of Classifications for Reporting Data in Health Care. In: Pole of Informatics in Health Data Coding and Classification Systems. Côté RA, Protti DJ, Scherrer JR. eds. North Holland, Amsterdam: 1985: 259-70.
  • 13 Zaiss A, Schulz S, Graubner B, Klar R. Conversion Table between ICD-9 and ICD-10. In: Medical Informatics Europe. Human Facets in Information Technologies. Brender J, Christensen JP, Scherrer JR, McNair P. (eds.) IOS Press Amsterdam; Oxford, Tokyo, Washington DC: 1996
  • 14 Zaiss A, Schulz S, Graubner B, Klar R. Überleitungstabelle zwischen ICD-9 und ICD-10. (in press).
  • 15 Brigl B. et al. The LBI-Method for automated indexing of diagnosis by using SNOMED. Part 1: Design and realization. International Journal of Bio-Medical Computing, 1994; 37: 237-47.
  • 16 Brigl B. et al. The LBI-Method for automated indexing of diagnosis by using SNOMED. Part 2: Evaluation. International Journal of Bio-Medical Computing 1995; 38: 101-8.
  • 17 Salton G. Developments in Automatic Text Retrieval. Science 1991; 253: 974-8.
  • 18 Graubner B. ICD und Operationenschlüssel (ICPM): Terminologische Standardisierung und Aufbereitung für EDV-Systeme. In Trampisch HJ, Lange S. eds. Medizinische Forschung – Ärztliches Handeln. München; MW: 1995: 399-404.
  • 19 DIMDI ed. Internationale Klassifikation der Krankheiten, Verletzungen und Todesursachen (ICD) in der Fassung der vom Bundesministerium für Gesundheit herausgegebenen 9. Revision. Köln, Stuttgart, etc.; Kohlhammer: 1993. Volumes IA, IB and II.
  • 20 DIMDI ed. Internationale statistische Klassifikation der Krankheiten und verwandter Gesundheitsprobleme. 10. Revision. München, Wien, Baltimore: Urban & Schwarzenberg; 1994/96: Volumes I, II and III.
  • 21 Freyberger HJ. Referenztabellen der WHO zum Kapitel V(F) der 10. Revision der ICD 10: ICD-9 vs. ICD-10; ICD-10 vs. ICD-9. Fortschr Neurol Psychiat 1993; 61: 109-43.
  • 22 Zaiss A. Überleitungstabelle zwischen ICD-9 und ICD-10. Programmgestaltung: Dr. Ruffing & Partner. Köln: Deutscher Ärzte-Verlag; 1996