From fragmented records to living evidence: health system-governed, artificial intelligence-driven, continuously updated real-world clinical data from Truveta.

Hannah A Burkhardt^1,2, Sarah J Blach¹, Srinivasa R Burugapalli¹, Brianna M G Cartwright¹, Ryley Martin¹, Michael Simonov^1,3, Sarah Stewart¹, Grace Turner¹, Angela L Winegar^1,4, Nicholas Stucky^1,5

¹Truveta Inc., Bellevue, WA 98004, United States.

²Biomedical Informatics and Data Science, Johns Hopkins University, Baltimore, MD 21218, United States.

³School of Public Health, Yale University, New Haven, CT 06510, United States.

⁴Department of Surgery and Perioperative Care, The University of Texas at Austin, Austin, TX 78712, United States.

⁵Department of Medicine, Providence Health and Services, Portland, OR 97213, United States.

PubMed PMC DOI PDF

Abstract

OBJECTIVES: Real-world data (RWD) have historically suffered from fragmentation, delayed availability, variable data quality, and limited analytic utility. Truveta developed an artificial intelligence (AI)-enabled data platform to address these longstanding challenges in using RWD for clinical research. This paper describes Truveta's partnership model, platform design, data scale, and research app…

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