Development of an expert based ICD-9-CM and ICD-10-CM map to AIS 2005 update 2008
Development of an expert based ICD-9-CM and ICD-10-CM map to AIS 2005 update 2008
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DOI：
10.1080/15389588.2016.1191069
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发表时间：
2016-01-01
影响因子：
2
通讯作者：
Brennan, Maureen
中科院分区：
文献类型：
--
作者：
Loftis, Kathryn L.;Price, Janet P.;Brennan, Maureen
目的：本文描述了如何从国际疾病分类（ICD）第9和第10次修订的临床修改到简化损伤量表2005年更新2008（AIS 08）。的映射方法的发展进行了描述，与讨论的过程中使用的主要假设，以映射ICD代码AIS的严重程度。有许多错综复杂的发展地图，因为2个编码系统，ICD和AIS，开发用于不同的目的，并包含独特的分类结构，以满足这些purposes.Methods：专家在ICD和AIS分析的规则和编码指南的伤害编码方案制定规则，ICD伤害代码映射到AIS 08。这涉及主题专门知识、详细的解剖学知识以及对两种分类法中适用的伤害术语和定义的深入理解。正式的ICD-9-CM和ICD-10-CM版本（损伤部分）按照每个编码手册中概述的规则映射到AIS 08代码和严重度。专家小组由来自世界各地的ICD和/或AIS认证编码员组成。在开发从ICD到AIS的映射过程中，专家们创建了规则来解决两种模式之间编码指南的差异问题，并确保所有代码的一致性。结果：分析了超过19，000个ICD代码，并为每个代码生成了到AIS 08章节，AIS 08严重程度和损伤严重程度评分（ISS）身体区域的映射。在完成地图后，19，012个符合条件的损伤相关ICD-9-CM和ICD-10-CM代码中的14，101个（74%）被分配了1到6之间的有效AIS 08严重度评分。其余4，911个代码被分配为AIS 08 9（未知）或被确定为不可映射，因为ICD描述缺乏足够的资格信息，无法根据AIS规则确定严重度。也有15，214（80%）ICD代码映射到AIS 08章节和ISS身体区域，允许ISS计算患者datasets.Conclusion：ICD和AIS之间的映射提供了一个全面的，专家设计的解决方案，为分析师弥合医院代码（ICD-9-CM，ICD-10-CM）和损伤严重程度代码（AIS 08）中提供的损伤描述之间的数据差距。通过应用ICD和AIS分类法的一致规则，专家小组创建了这些明确的地图，这是汽车医学促进协会（AAAM）唯一认可的地图。初步验证支持这些地图的质量，估计AIS的严重性，但未来的工作应包括验证这些地图的迈斯和国际空间站的估计与大型数据集。这些ICD-AIS地图将支持数据库中的数据分析，其中损伤信息分类在这两个不同的系统中，并为使用大型损伤数据集调查创伤事件中的损伤打开了新的大门。
Objective: This article describes how maps were developed from the clinical modifications of the 9th and 10th revisions of the International Classification of Diseases (ICD) to the Abbreviated Injury Scale 2005 Update 2008 (AIS08). The development of the mapping methodology is described, with discussion of the major assumptions used in the process to map ICD codes to AIS severities. There were many intricacies to developing the maps, because the 2 coding systems, ICD and AIS, were developed for different purposes and contain unique classification structures to meet these purposes.Methods: Experts in ICD and AIS analyzed the rules and coding guidelines of both injury coding schemes to develop rules for mapping ICD injury codes to the AIS08. This involved subject-matter expertise, detailed knowledge of anatomy, and an in-depth understanding of injury terms and definitions as applied in both taxonomies. The official ICD-9-CM and ICD-10-CM versions (injury sections) were mapped to the AIS08 codes and severities, following the rules outlined in each coding manual. The panel of experts was composed of coders certified in ICD and/or AIS from around the world. In the process of developing the map from ICD to AIS, the experts created rules to address issues with the differences in coding guidelines between the 2 schemas and assure a consistent approach to all codes.Results: Over 19,000 ICD codes were analyzed and maps were generated for each code to AIS08 chapters, AIS08 severities, and Injury Severity Score (ISS) body regions. After completion of the maps, 14,101 (74%) of the eligible 19,012 injury-related ICD-9-CM and ICD-10-CM codes were assigned valid AIS08 severity scores between 1 and 6. The remaining 4,911 codes were assigned an AIS08 of 9 (unknown) or were determined to be nonmappable because the ICD description lacked sufficient qualifying information for determining severity according to AIS rules. There were also 15,214 (80%) ICD codes mapped to AIS08 chapter and ISS body region, which allow for ISS calculations for patient data sets.Conclusion: This mapping between ICD and AIS provides a comprehensive, expert-designed solution for analysts to bridge the data gap between the injury descriptions provided in hospital codes (ICD-9-CM, ICD-10-CM) and injury severity codes (AIS08). By applying consistent rules from both the ICD and AIS taxonomies, the expert panel created these definitive maps, which are the only ones endorsed by the Association for the Advancement of Automotive Medicine (AAAM). Initial validation upheld the quality of these maps for the estimation of AIS severity, but future work should include verification of these maps for MAIS and ISS estimations with large data sets. These ICD-AIS maps will support data analysis from databases with injury information classified in these 2 different systems and open new doors for the investigation of injury from traumatic events using large injury data sets.