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评估精准医学互操作性的准备情况:对美国国立卫生研究院基因检测登记处的一项探索性研究

Assessing the readiness of precision medicine interoperabilty: An exploratory study of the National Institutes of Health genetic testing registry.

作者信息

Ronquillo Jay G, Weng Chunhua, Lester William T

机构信息

Grinformatics.

Columbia University.

出版信息

J Innov Health Inform. 2017 Nov 17;24(4):918. doi: 10.14236/jhi.v24i4.918.

Abstract

BACKGROUND

Precision medicine involves three major innovations currently taking place in healthcare:  electronic health records, genomics, and big data.  A major challenge for healthcare providers, however, is understanding the readiness for practical application of initiatives like precision medicine.

OBJECTIVE

To better understand the current state and challenges of precision medicine interoperability using a national genetic testing registry as a starting point, placed in the context of established interoperability formats.

METHODS

We performed an exploratory analysis of the National Institutes of Health Genetic Testing Registry.  Relevant standards included Health Level Seven International Version 3 Implementation Guide for Family History, the Human Genome Organization Gene Nomenclature Committee (HGNC) database, and Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT).  We analyzed the distribution of genetic testing laboratories, genetic test characteristics, and standardized genome/clinical code mappings, stratified by laboratory setting.

RESULTS

There were a total of 25472 genetic tests from 240 laboratories testing for approximately 3632 distinct genes.  Most tests focused on diagnosis, mutation confirmation, and/or risk assessment of germline mutations that could be passed to offspring.  Genes were successfully mapped to all HGNC identifiers, but less than half of tests mapped to SNOMED CT codes, highlighting significant gaps when linking genetic tests to standardized clinical codes that explain the medical motivations behind test ordering.  Conclusion:  While precision medicine could potentially transform healthcare, successful practical and clinical application will first require the comprehensive and responsible adoption of interoperable standards, terminologies, and formats across all aspects of the precision medicine pipeline.

摘要

背景

精准医学涉及目前医疗保健领域正在发生的三项重大创新:电子健康记录、基因组学和大数据。然而,医疗保健提供者面临的一个主要挑战是了解精准医学等举措在实际应用方面的准备情况。

目的

以国家基因检测注册库为起点,结合既定的互操作性格式,更好地了解精准医学互操作性的现状和挑战。

方法

我们对美国国立卫生研究院基因检测注册库进行了探索性分析。相关标准包括《健康信息交换标准第七版国际家族病史实施指南》、人类基因组组织基因命名委员会(HGNC)数据库以及医学系统命名法——临床术语(SNOMED CT)。我们按实验室类型对基因检测实验室的分布、基因检测特征以及标准化基因组/临床代码映射进行了分析。

结果

共有来自240个实验室的25472项基因检测,检测约3632个不同的基因。大多数检测集中于可遗传给后代的种系突变的诊断、突变确认和/或风险评估。基因成功映射到所有HGNC标识符,但不到一半的检测映射到SNOMED CT代码,这突出表明在将基因检测与解释检测医嘱背后医学动机的标准化临床代码相联系时存在重大差距。结论:虽然精准医学有可能改变医疗保健,但成功的实际临床应用首先需要在精准医学流程的各个方面全面且负责地采用可互操作的标准、术语和格式。

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