Transforming the German ICD-10 (ICD-10-GM) into Injury Severity Score (ISS)-Introducing a new method for automated re-coding.
<h4>Background</h4>While 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).<h4>Objective</h4>To develop a mapping method from ICD-10-GM into ICD-10 clinical...
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oai:doaj.org-article:010b6324a34c433f87d638269b7bab632021-12-02T20:08:19ZTransforming the German ICD-10 (ICD-10-GM) into Injury Severity Score (ISS)-Introducing a new method for automated re-coding.1932-620310.1371/journal.pone.0257183https://doaj.org/article/010b6324a34c433f87d638269b7bab632021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0257183https://doaj.org/toc/1932-6203<h4>Background</h4>While 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).<h4>Objective</h4>To 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.<h4>Methods</h4>Between 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.<h4>Results</h4>Statistical 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.<h4>Conclusion</h4>Though 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.Marcel NiemannSven MärdianPascal NiemannLiv TettehSerafeim TsitsilonisKarl F BraunUlrich StöckleFrank GraefPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0257183 (2021) |
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Medicine R Science Q Marcel Niemann Sven Märdian Pascal Niemann Liv Tetteh Serafeim Tsitsilonis Karl F Braun Ulrich Stöckle Frank Graef Transforming the German ICD-10 (ICD-10-GM) into Injury Severity Score (ISS)-Introducing a new method for automated re-coding. |
description |
<h4>Background</h4>While 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).<h4>Objective</h4>To 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.<h4>Methods</h4>Between 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.<h4>Results</h4>Statistical 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.<h4>Conclusion</h4>Though 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. |
format |
article |
author |
Marcel Niemann Sven Märdian Pascal Niemann Liv Tetteh Serafeim Tsitsilonis Karl F Braun Ulrich Stöckle Frank Graef |
author_facet |
Marcel Niemann Sven Märdian Pascal Niemann Liv Tetteh Serafeim Tsitsilonis Karl F Braun Ulrich Stöckle Frank Graef |
author_sort |
Marcel Niemann |
title |
Transforming the German ICD-10 (ICD-10-GM) into Injury Severity Score (ISS)-Introducing a new method for automated re-coding. |
title_short |
Transforming the German ICD-10 (ICD-10-GM) into Injury Severity Score (ISS)-Introducing a new method for automated re-coding. |
title_full |
Transforming the German ICD-10 (ICD-10-GM) into Injury Severity Score (ISS)-Introducing a new method for automated re-coding. |
title_fullStr |
Transforming the German ICD-10 (ICD-10-GM) into Injury Severity Score (ISS)-Introducing a new method for automated re-coding. |
title_full_unstemmed |
Transforming the German ICD-10 (ICD-10-GM) into Injury Severity Score (ISS)-Introducing a new method for automated re-coding. |
title_sort |
transforming the german icd-10 (icd-10-gm) into injury severity score (iss)-introducing a new method for automated re-coding. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doaj.org/article/010b6324a34c433f87d638269b7bab63 |
work_keys_str_mv |
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