PDA (Privacy-Preserving Distributed Algorithms) in action: Ten principles for high-quality multi-site clinical evidence generation

Authors

• Yong Chen, University of Pennsylvania
• Chongliang Luo, Washington University School of Medicine in St. Louis
• et al.

Journal

Journal of the American Medical Informatics Association

Publication Date

9-1-2026

Volume

33

Issue

9

First Page

1636

Last Page

1648

Document Type

Open Access Publication

DOI

10.1093/jamia/ocag119

Rights and Permissions

Yong Chen, Jiayi Tong, Yiwen Lu, Rui Duan, Chongliang Luo, Marc A Suchard, Patrick B Ryan, Andrew E Williams, John H Holmes, Jason H Moore, Hua Xu, Yun Lu, Raymond J Carroll, Scott L Zeger, George Hripcsak, Martijn J Schuemie, PDA (Privacy-Preserving Distributed Algorithms) in action: ten principles for high-quality multi-site clinical evidence generation, Journal of the American Medical Informatics Association, Volume 33, Issue 9, September 2026, Pages 1636–1648, https://doi.org/10.1093/jamia/ocag119. https://academic.oup.com/jamia/article/33/9/1636/8733385?login=true. © The Author(s) 2026. Published by Oxford University Press on behalf of the American Medical Informatics Association. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact [email protected] for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact [email protected].

Recommended Citation

Chen, Yong; Luo, Chongliang; and et al., "PDA (Privacy-Preserving Distributed Algorithms) in action: Ten principles for high-quality multi-site clinical evidence generation." Journal of the American Medical Informatics Association. 33, 9. 1636 - 1648. (2026).
https://digitalcommons.wustl.edu/oa_4/7496

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.