ArticlePloS one2021
Transforming the German ICD-10 (ICD-10-GM) into Injury Severity Score (ISS)-Introducing a new method for automated re-coding.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- ICDPICR2 calculates abbreviated injury scale scores from diagnostic codes: limitations for traumatic brain injury epidemiology.Injury epidemiology · 2026Article
- The impact of injury severity and age on short-and long-term mortality and hospital length of stay after surgical stabilisation of rib fractures (SSRF): a German population-based propensity-score matched investigation.World journal of emergency surgery : WJES · 2026Article
- Article
- [A retrospective identification of severely injured patients using ICD 10 diagnoses codes : Part of the project "Quality of life and ability to work after severe trauma" (LeAf Trauma)].Unfallchirurgie (Heidelberg, Germany) · 2024Article
- Administrative data in pediatric critical care research-Potential, challenges, and future directions.Frontiers in pediatrics · 2022Article
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8 authors.
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Abstract
backgroundWhile potentially timesaving, there is no program to automatically transform diagnosis codes of the ICD-10 German modification (ICD-10-GM) into the injury severity score (ISS).
objectiveTo develop a mapping method from ICD-10-GM into ICD-10 clinical modification (ICD-10-CM) to calculate the abbreviated injury scale (AIS) and ISS of each patient using the ICDPIC-R and to compare the manually and automatically calculated scores.
methodsBetween January 2019 and June 2021, the most severe AIS of each body region and the ISS were manually calculated using medical documentation and radiology reports of all major trauma patients of a German level I trauma centre. The ICD-10-GM codes of these patients were exported from the electronic medical data system SAP, and a Java program was written to transform these into ICD-10-CM codes. Afterwards, the ICDPIC-R was used to automatically generate the most severe AIS of each body region and the ISS. The automatically and manually determined ISS and AIS scores were then tested for equivalence.
resultsStatistical analysis revealed that the manually and automatically calculated ISS were significantly equivalent over the entire patient cohort. Further sub-group analysis, however, showed that equivalence could only be demonstrated for patients with an ISS between 16 and 24. Likewise, the highest AIS scores of each body region were not equal in the manually and automatically calculated group.
conclusionThough achieving mapping results highly comparable to previous mapping methods of ICD-10-CM diagnosis codes, it is not unrestrictedly possible to automatically calculate the AIS and ISS using ICD-10-GM codes.
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