Suppr超能文献

美国综合医疗系统中用于遗传级联筛查的家族图谱链接的环境扫描。

Environmental scan of family chart linking for genetic cascade screening in a U.S. integrated health system.

作者信息

Haas Cameron B, Ralston James, Fullerton Stephanie M, Scrol Aaron, Henrikson Nora B

机构信息

Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States.

Department of Bioethics and Humanities, University of Washington School of Medicine, Seattle, WA, United States.

出版信息

Front Genet. 2022 Aug 11;13:886650. doi: 10.3389/fgene.2022.886650. eCollection 2022.

Abstract

An alternative to population-based genetic testing, automated cascade genetic testing facilitated by sharing of family health history, has been conceptualized as a more efficient and cost-effective approach to identify hereditary genetic conditions. However, existing software and applications programming interfaces (API) for the practical implementation of this approach in health care settings have not been described. We reviewed API available for facilitating cascade genetic testing in electronic health records (EHRs). We emphasize any information regarding informed consent as provided for each tool. Using semi-structured key informant interviews, we investigated uptake of and barriers to integrating automated family cascade genetic testing into the EHR. We summarized the functionalities of six tools related to utilizing family health history to facilitate cascade genetic testing. No tools were explicitly capable of facilitating family cascade genetic testing, but few enterprise EHRs supported family health history linkage. We conducted five key informant interviews with four main considerations that emerged including: 1) incentives for interoperability, 2) HIPAA and regulations, 3) mobile-app and alternatives to EHR deployment, 4) fundamental changes to conceptualizing EHRs. Despite the capabilities of existing technology, limited bioinformatic support has been developed to automate processes needed for family cascade genetic testing and the main barriers for implementation are nontechnical, including an understanding of regulations, consent, and workflow. As the trade-off between cost and efficiency for population-based and family cascade genetic testing shifts, the additional tools necessary for their implementation should be considered.

摘要

作为基于人群的基因检测的一种替代方法,通过共享家族健康史实现的自动化级联基因检测已被视为一种更高效且具成本效益的方法,用于识别遗传性疾病。然而,尚未有关于在医疗保健环境中实际实施该方法的现有软件和应用程序编程接口(API)的描述。我们审查了可用于在电子健康记录(EHR)中促进级联基因检测的API。我们强调了每个工具所提供的关于知情同意的任何信息。通过半结构化关键信息提供者访谈,我们调查了将自动化家族级联基因检测整合到EHR中的接受情况和障碍。我们总结了六种与利用家族健康史促进级联基因检测相关的工具的功能。没有工具能够明确促进家族级联基因检测,但很少有企业EHR支持家族健康史关联。我们进行了五次关键信息提供者访谈,涉及出现的四个主要考虑因素,包括:1)互操作性激励措施,2)《健康保险流通与责任法案》(HIPAA)及法规,3)移动应用程序和EHR部署的替代方案,4)EHR概念化的根本性变化。尽管现有技术具备相应能力,但用于自动化家族级联基因检测所需流程的生物信息学支持有限,实施的主要障碍是非技术性的,包括对法规、同意和工作流程的理解。随着基于人群的基因检测和家族级联基因检测在成本与效率之间的权衡发生变化,应考虑其实施所需的额外工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c681/9403414/6d3ff274df0e/fgene-13-886650-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验