Brunette Charles A, Yi Thomas, Danowski Morgan E, Cardellino Mark, Harrison Alicia, Assimes Themistocles L, Knowles Joshua W, Christensen Kurt D, Sturm Amy C, Sun Yan V, Hui Qin, Pyarajan Saiju, Shi Yunling, Whitbourne Stacey B, Gaziano J Michael, Muralidhar Sumitra, Vassy Jason L
Veterans Affairs Boston Healthcare System, Boston, MA, United States.
Department of Medicine, Harvard Medical School, Boston, MA, United States.
JAMIA Open. 2024 Mar 8;7(1):ooae020. doi: 10.1093/jamiaopen/ooae020. eCollection 2024 Apr.
The development of clinical research informatics tools and workflow processes associated with re-engaging biobank participants has become necessary as genomic repositories increasingly consider the return of actionable research results.
Here we describe the development and utility of an informatics application for participant recruitment and enrollment management for the Veterans Affairs Million Veteran Program Return Of Actionable Results Study, a randomized controlled pilot trial returning individual genetic results associated with familial hypercholesterolemia.
The application is developed in Python-Flask and was placed into production in November 2021. The application includes modules for chart review, medication reconciliation, participant contact and biospecimen logging, survey recording, randomization, and documentation of genetic counseling and result disclosure. Three primary users, a genetic counselor and two research coordinators, and 326 Veteran participants have been integrated into the system as of February 23, 2023. The application has successfully handled 3367 task requests involving greater than 95 000 structured data points. Specifically, application users have recorded 326 chart reviews, 867 recruitment telephone calls, 158 telephone-based surveys, and 61 return of results genetic counseling sessions, among other available study tasks.
The development of usable, customizable, and secure informatics tools will become increasingly important as large genomic repositories begin to return research results at scale. Our work provides a proof-of-concept for developing and using such tools to aid in managing the return of results process within a national biobank.
随着基因组库越来越多地考虑返回可操作的研究结果,开发与重新吸引生物样本库参与者相关的临床研究信息学工具和工作流程变得很有必要。
在此,我们描述了一种信息学应用程序的开发及其效用,该应用程序用于退伍军人事务部百万退伍军人计划可操作结果返回研究的参与者招募和登记管理,这是一项随机对照试点试验,返回与家族性高胆固醇血症相关的个体基因结果。
该应用程序是用Python-Flask开发的,并于2021年11月投入使用。该应用程序包括用于图表审查、用药核对、参与者联系和生物样本记录、调查记录、随机分组以及遗传咨询和结果披露文档记录的模块。截至2023年2月23日,系统已纳入三名主要用户,一名遗传咨询师和两名研究协调员,以及326名退伍军人参与者。该应用程序已成功处理了3367个任务请求,涉及超过95000个结构化数据点。具体而言,应用程序用户记录了326次图表审查、867次招募电话、158次电话调查以及61次结果返回遗传咨询会议,以及其他可用的研究任务。
随着大型基因组库开始大规模返回研究结果,开发可用、可定制且安全的信息学工具将变得越来越重要。我们的工作为开发和使用此类工具以协助管理国家生物样本库中的结果返回过程提供了概念验证。