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首页> 外文期刊>JMIR Medical Informatics >Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluation
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Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluation

机译：将ICD-10和ICD-10-CM代码映射到Phecodes：工作流程开发和初始评估

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Background The phecode system was built upon the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) for phenome-wide association studies (PheWAS) using the electronic health record (EHR). Objective The goal of this paper was to develop and perform an initial evaluation of maps from the International Classification of Diseases, 10th Revision (ICD-10) and the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) codes to phecodes. Methods We mapped ICD-10 and ICD-10-CM codes to phecodes using a number of methods and resources, such as concept relationships and explicit mappings from the Centers for Medicare & Medicaid Services, the Unified Medical Language System, Observational Health Data Sciences and Informatics, Systematized Nomenclature of Medicine-Clinical Terms, and the National Library of Medicine. We assessed the coverage of the maps in two databases: Vanderbilt University Medical Center (VUMC) using ICD-10-CM and the UK Biobank (UKBB) using ICD-10. We assessed the fidelity of the ICD-10-CM map in comparison to the gold-standard ICD-9-CM phecode map by investigating phenotype reproducibility and conducting a PheWAS. Results We mapped 75% of ICD-10 and ICD-10-CM codes to phecodes. Of the unique codes observed in the UKBB (ICD-10) and VUMC (ICD-10-CM) cohorts, 90% were mapped to phecodes. We observed 70-75% reproducibility for chronic diseases and Conclusions This study introduces the beta versions of ICD-10 and ICD-10-CM to phecode maps that enable researchers to leverage accumulated ICD-10 and ICD-10-CM data for PheWAS in the EHR.
机译：背景技术使用电子健康记录（EHR），构建了Phecode系统的疾病，第九修订版，第九次修改，临床修改（ICD-9-CM）的国际分类。目标本文的目标是开发和初步评估来自国际疾病，第10次修订（ICD-10）和疾病的国际分类，第10次修订，临床修改（ICD-10-CM）代码的初步评估。到phecodes。方法使用许多方法和资源，如医疗保险服务中心，统一医疗语言系统，观察健康数据科学和统一健康数据科学，观测健康数据科学和概念关系和明确映射的方法，映射了ICD-10和ICD-10-CM代码到Phecodes。信息学，系统化的医学术语术语和国家医学图书馆。我们评估了两个数据库地图的覆盖范围：使用ICD-10使用ICD-10-CM和英国Biobank（UKBB）的Vanderbilt University（VUMC）。通过调查表型再现性和进行鞋垫，我们评估了与金标ICD-9-CM Phecode地图相比的ICD-10-CM地图的保真度。结果我们将> 75％的ICD-10和ICD-10-CM代码映射到Phecodes。在UKBB（ICD-10）和VUMC（ICD-10-CM）队列中观察到的独特码，> 90％被映射到Phecodes。我们观察到慢性病疾病的重复性70-75％，结论本研究介绍了ICD-10和ICD-10-CM的β版本，以使研究人员能够利用累积ICD-10和ICD-10-CM的PPEMAS数据ehr。

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