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

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of the American Medical Informatics Association : JAMIA 2024-12, Vol.31 (12), p.2994-3000
Hauptverfasser: Humes, Izabelle, Shyr, Cathy, Dillon, Moira, Liu, Zhongjie, Peterson, Jennifer, Jeor, Chris St, Malkes, Jacqueline, Master, Hiral, Mapes, Brandy, Azuine, Romuladus, Mack, Nakia, Abdelbary, Bassent, Gamble-George, Joyonna, Goldmann, Emily, Cook, Stephanie, Choupani, Fatemeh, Baskir, Rubin, McMaster, Sydney, Lunt, Chris, Watson, Karriem, Lee, Minnkyong, Schwartz, Sophie, Munshi, Ruchi, Glazer, David, Banks, Eric, Philippakis, Anthony, Basford, Melissa, Roden, Dan, Harris, Paul A
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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. Researchers from various fields and with different SAS experience levels participated in co-designing the SAS implementation through user experience interviews. Feedback and lessons learned from user testing informed the final design of the SAS application. 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. 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.
ISSN:1067-5027
1527-974X
1527-974X
DOI:10.1093/jamia/ocae216