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Development of an expert based ICD-9-CM and ICD-10-CM map to AIS 2005 update 2008
Kathryn L Loftis1, Janet P Price1, Patrick J Gillich1
1a AAAM , Chicago , Illinois.
This study maps International Classification of Diseases (ICD) codes to Abbreviated Injury Scale (AIS08) severities, enabling better injury data analysis. The developed maps bridge data gaps between coding systems for trauma research.
Area of Science:
- Medical Informatics
- Trauma Research
- Public Health
Background:
- The International Classification of Diseases (ICD) and Abbreviated Injury Scale (AIS) are distinct coding systems used for classifying diseases and injuries, respectively.
- Differences in their structure and purpose create a data gap, hindering comprehensive injury analysis.
- Bridging this gap is crucial for accurate trauma research and public health initiatives.
Purpose of the Study:
- To develop and validate a comprehensive mapping methodology from ICD-9-CM and ICD-10-CM codes to AIS08 severities and body regions.
- To create expert-driven rules for consistent mapping between the two coding systems.
- To facilitate improved data analysis for injury surveillance and research.
Main Methods:
- An expert panel of ICD and AIS certified coders analyzed the rules and guidelines of both coding schemes.
- A systematic process was employed to map ICD injury codes to AIS08 codes and severities.
- Rules were established to address discrepancies between the ICD and AIS taxonomies, ensuring a standardized approach.
Main Results:
- Over 19,000 ICD codes were analyzed, with 14,101 (74%) successfully mapped to AIS08 severity scores (1-6).
- Approximately 4,911 ICD codes were deemed non-mappable or assigned an unknown AIS08 severity.
- 15,214 (80%) ICD codes were mapped to AIS08 chapters and Injury Severity Score (ISS) body regions, enabling ISS calculations.
Conclusions:
- The developed ICD-AIS maps provide a validated solution for bridging data between ICD and AIS08 coding systems.
- These maps, endorsed by the Association for the Advancement of Automotive Medicine (AAAM), enhance the quality of injury severity estimation.
- The maps will support large-scale injury data analysis, advancing research on traumatic events.
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