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

Author:

Humes Izabelle1,Shyr Cathy2ORCID,Dillon Moira3,Liu Zhongjie4,Peterson Jennifer5,Jeor Chris St6,Malkes Jacqueline5,Master Hiral1ORCID,Mapes Brandy1,Azuine Romuladus7,Mack Nakia7,Abdelbary Bassent8,Gamble-George Joyonna9,Goldmann Emily10,Cook Stephanie10,Choupani Fatemeh11,Baskir Rubin7,McMaster Sydney7,Lunt Chris7,Watson Karriem7,Lee Minnkyong7,Schwartz Sophie4,Munshi Ruchi4,Glazer David3ORCID,Banks Eric4,Philippakis Anthony4,Basford Melissa1,Roden Dan2,Harris Paul A2

Affiliation:

1. Vanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center , Nashville, TN 37203, United States

2. Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States

3. Verily Life Sciences , San Francisco, CA 94080, United States

4. Data Sciences Platform, Broad Institute of MIT and Harvard , Cambridge, MA 02142, United States

5. SAS Institute , Cary, NC 27513, United States

6. Zencos , Cary, NC 27518, United States

7. National Institutes of Health All of Us Research Program Office, , Bethesda, MD 20892, United States

8. College of Health Professions, The University of Texas Rio Grande Valley , Edinburg, TX 78539, United States

9. School of Public Health, Yale University , New Haven, CT 06510, United States

10. School of Global Public Health, New York University , New York, NY 10003, United States

11. College of Nursing, Seattle University , Seattle, WA 98122, United States

Abstract

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.

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

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