title: [Comparison of ICD 10 and AIS with the Development of a Method for Automated Conversion].
abstract: BACKGROUND
  Most of the current scores and outcome prediction calculations in traumatology are based on the Abbreviated Injury Scale (AIS). However, this is not routinely used for documentation and coding of injuries in many countries, including Germany. Instead of the AIS, the International Classification of Diseases (ICD) is used. While the ICD functions as the basis for automated calculating of the diagnosis-related groups (DRG), no possibility of simple conversion of the 10th version of the ICD into AIS is available so far.
  
  
  OBJECTIVE
  The aim of this work is to develop and apply a methodology for simple conversion from ICD 10 to current AIS.
  
  
  METHODS
  The developed mapping procedure was based on a 1 : n relationship between trauma codes of ICD-10-GM and the codes of the AIS2005. Calculated ISS from the conversion codes were then compared with the actual ISS coding available from the clinical trauma documentation.
  
  
  RESULTS
  It can be shown that, despite the considerable differences in the structure and systematic of both classification systems, an automated translation is technically possible.
  
  
  CONCLUSIONS
  The preliminary result of the mapping suggests, however, that despite the technical feasibility of a reliable conversion and comparability of ICD 10 and AIS in the required quality is still questionable. An automated conversion is still possible and quality would possibly improve by inclusion of additional information.
authors.affiliation: Klinik für Unfall-, Hand- und Wiederherstellungschirurgie, Universitätsklinikum Münster.
authors.forename: R
authors.initials: R
authors.lastname: Hartensuer
authors.affiliation: Klinik für Unfall-, Hand- und Wiederherstellungschirurgie, Universitätsklinikum Münster.
authors.forename: B
authors.initials: B
authors.lastname: Nikolov
authors.affiliation: Medizincontrolling, Universitätsklinikum Münster.
authors.forename: D
authors.initials: D
authors.lastname: Franz
authors.affiliation: Klinik für Unfall-, Hand- und Wiederherstellungschirurgie, Universitätsklinikum Münster.
authors.forename: A
authors.initials: A
authors.lastname: Weimann
authors.affiliation: Klinik für Unfall-, Hand- und Wiederherstellungschirurgie, Universitätsklinikum Münster.
authors.forename: M
authors.initials: M
authors.lastname: Raschke
authors.affiliation: Klinik für Unfall-, Hand- und Wiederherstellungschirurgie, Universitätsklinikum Münster.
authors.forename: C
authors.initials: C
authors.lastname: Juhra
mesh_terms: D000465:Algorithms; D005568:Forms and Records Control / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D038801:International Classification of Diseases; D009323:Natural Language Processing; D010363:Pattern Recognition, Automated / Q000379:methods*; D015599:Trauma Severity Indices