Development of a robust mapping between AIS 2+ and ICD-9 injury codes

Barnard, Ryan; Loftis, Kathryn L.; Martin, Robert; Stitzel, Joel D.

doi:10.1016/j.aap.2012.11.030

Cited by 25 publications

(10 citation statements)

References 8 publications

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“…Eine standardisierte parallele Codierung von ICD und AIS durch geschultes Personal findet in der klinischen Routine selten bis überhaupt nicht statt [5]. Diese Tatsache hat in der Vergangenheit dazu geführt, dass zum einen Konversionsprogramme von ICD-9 zu AIS [6,7], zum anderen alternative, von der AIS unabhängige Trauma-und Outcome-Scores entwickelt wurden [8,9]. Die AIS stellt dennoch nach wie vor den am weitesten verbreiteten Score in der Traumatologie dar [10].…”

Section: Comparison Of Icd 10 and Ais With The Development Of A Methounclassified

Vergleich von ICD-10 und AIS mit der Entwicklung einer Methode zur automatisierten Umwandlung

et al. 2015

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Section: Comparison Of Icd 10 and Ais With The Development Of A Methounclassified

Vergleich von ICD-10 und AIS mit der Entwicklung einer Methode zur automatisierten Umwandlung

et al. 2015

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“…This creates a challenge for injury data managers and researchers who are interested in assessing injury severity using the AIS, which is often only systematically available in a limited fashion in trauma-specific databases. Therefore, various proprietary and publicly available mapping systems have been created to convert ICD codes to AIS codes (Barnard et al 2013;Di Bartolomeo et al 2010;MacKenzie et al 1989). Unfortunately, these have been limited by using older versions of the ICD or AIS, having inconsistent validity, or not comprehensively representing all possible injury diagnoses.…”

Section: Introductionmentioning

confidence: 99%

New Methodology for an Expert-Designed Map From International Classification of Diseases (ICD) to Abbreviated Injury Scale (AIS) 3+ Severity Injury

Zonfrillo

Weaver

Gillich³

et al. 2015

Traffic Injury Prevention

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Robust maps of ICD-9-CM and ICD-10-CM injury codes to AIS severity categories (3+ versus <3) were successfully created from an in-person panel discussion and electronic survey. These maps provide a link between the common ICD diagnostic lexicons and the AIS severity coding system and are of value to injury researchers, public health scientists, and epidemiologists using large databases without available AIS coding.

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“…Mackenzie et al developed and validated a table to map ICD-9 codes to Abbreviated Injury Scale (AIS) scores and ISS (MacKenzie, Steinwachs, & Shankar, 1989; MacKenzie, Steinwachs, Shankar, & Turney, 1986). Barnard, Loftis, Martin, and Stitzel (2013) compared mappings of ICD-9 codes to AIS scores derived from the Crash Injury Research Engineering Network and the National Trauma Databanks with those generated by ICDMAP. These techniques were published and utilized in peer-reviewed research but were not widely implemented.…”

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confidence: 99%

Validating the Use of ICD-9 Code Mapping to Generate Injury Severity Scores

Fleischman

Mann

Dai

et al. 2017

Journal of Trauma Nursing

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The Injury Severity Score (ISS) is a measure of injury severity widely used for research and quality assurance in trauma. Calculation of ISS requires chart abstraction, so it is often unavailable for patients cared for in nontrauma centers. Whether ISS can be accurately calculated from International Classification of Diseases, Ninth Revision (ICD-9) codes remains unclear. Our objective was to compare ISS derived from ICD-9 codes with those coded by trauma registrars. This was a retrospective study of patients entered into 9 U.S. trauma registries from January 2006 through December 2008. Two computer programs, ICDPIC and ICDMAP, were used to derive ISS from the ICD-9 codes in the registries. We compared derived ISS with ISS hand-coded by trained coders. There were 24,804 cases with a mortality rate of 3.9%. The median ISS derived by both ICDPIC (ISS-ICDPIC) and ICDMAP (ISS-ICDMAP) was 8 (interquartile range [IQR] = 4–13). The median ISS in the registry (ISS-registry) was 9 (IQR = 4–14). The median difference between either of the derived scores and ISS-registry was zero. However, the mean ISS derived by ICD-9 code mapping was lower than the hand-coded ISS in the registries (1.7 lower for ICDPIC, 95% CI [1.7, 1.8], Bland–Altman limits of agreement = −10.5 to 13.9; 1.8 lower for ICDMAP, 95% CI [1.7, 1.9], limits of agreement = −9.6 to 13.3). ICD-9-derived ISS slightly underestimated ISS compared with hand-coded scores. The 2 methods showed moderate to substantial agreement. Although hand-coded scores should be used when possible, ICD-9-derived scores may be useful in quality assurance and research when hand-coded scores are unavailable.

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Development of a robust mapping between AIS 2+ and ICD-9 injury codes

Cited by 25 publications

References 8 publications

Vergleich von ICD-10 und AIS mit der Entwicklung einer Methode zur automatisierten Umwandlung

Vergleich von ICD-10 und AIS mit der Entwicklung einer Methode zur automatisierten Umwandlung

New Methodology for an Expert-Designed Map From International Classification of Diseases (ICD) to Abbreviated Injury Scale (AIS) 3+ Severity Injury

Validating the Use of ICD-9 Code Mapping to Generate Injury Severity Scores

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