Empowering the biomedical research community: Innovative SAS deployment on the All of Us Researcher Workbench.

IF 4.7 2区医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of the American Medical Informatics Association Pub Date : 2024-08-12 DOI:10.1093/jamia/ocae216

Izabelle Humes, Cathy Shyr, Moira Dillon, Zhongjie Liu, Jennifer Peterson, Chris St Jeor, Jacqueline Malkes, Hiral Master, Brandy Mapes, Romuladus Azuine, Nakia Mack, Bassent Abdelbary, Joyonna Gamble-George, Emily Goldmann, Stephanie Cook, Fatemeh Choupani, Rubin Baskir, Sydney McMaster, Chris Lunt, Karriem Watson, Minnkyong Lee, Sophie Schwartz, Ruchi Munshi, David Glazer, Eric Banks, Anthony Philippakis, Melissa Basford, Dan Roden, Paul A Harris

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引用次数: 0

Abstract

Objectives: The All of Us Research Program is a precision medicine initiative aimed at establishing a vast, diverse biomedical database accessible through a cloud-based data analysis platform, the Researcher Workbench (RW). Our goal was to empower the research community by co-designing the implementation of SAS in the RW alongside researchers to enable broader use of All of Us data.

Materials and methods: Researchers from various fields and with different SAS experience levels participated in co-designing the SAS implementation through user experience interviews.

Results: Feedback and lessons learned from user testing informed the final design of the SAS application.

Discussion: The co-design approach is critical for reducing technical barriers, broadening All of Us data use, and enhancing the user experience for data analysis on the RW.

Conclusion: Our co-design approach successfully tailored the implementation of the SAS application to researchers' needs. This approach may inform future software implementations on the RW.

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增强生物医学研究界的能力：在 "全民研究员工作台 "上创新部署 SAS。

目标：我们所有人研究计划是一项精准医学计划，旨在建立一个庞大、多样的生物医学数据库，可通过基于云的数据分析平台--研究者工作台（RW）进行访问。我们的目标是通过与研究人员共同设计 RW 中 SAS 的实施来增强研究社区的能力，从而更广泛地使用 All of Us 数据：来自不同领域、具有不同 SAS 经验水平的研究人员通过用户体验访谈参与了 SAS 实施的共同设计：结果：从用户测试中获得的反馈和经验教训为 SAS 应用程序的最终设计提供了依据：讨论：共同设计方法对于减少技术障碍、扩大 "我们所有人 "数据的使用范围以及增强用户在 RW 上进行数据分析的体验至关重要：我们的共同设计方法成功地使 SAS 应用程序的实施符合研究人员的需求。这种方法可为未来在 RW 上实施软件提供参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of the American Medical Informatics Association 医学-计算机：跨学科应用

CiteScore

14.50

自引率

7.80%

发文量

230

审稿时长

3-8 weeks

期刊介绍： JAMIA is AMIA''s premier peer-reviewed journal for biomedical and health informatics. Covering the full spectrum of activities in the field, JAMIA includes informatics articles in the areas of clinical care, clinical research, translational science, implementation science, imaging, education, consumer health, public health, and policy. JAMIA''s articles describe innovative informatics research and systems that help to advance biomedical science and to promote health. Case reports, perspectives and reviews also help readers stay connected with the most important informatics developments in implementation, policy and education.