PRESTO-R: A Novel, Scalable Methodology for Enabling Real-Time, True Randomization in the Electronic Health Record to Facilitate Pragmatic Randomized Controlled Trials

Presentation Time: 08:45 AM - 09:00 AM

Abstract Keywords: Informatics Implementation, Clinical Decision Support, Reproducibility, Real-World Evidence Generation
Primary Track: Foundations
Programmatic Theme: Clinical Research Informatics

Existing methods for enabling randomized trials in electronic health record (EHR) systems have important limitations, such as difficulty randomizing newly enrolled patients in real-time. Here, we describe PRESTO-R, a novel randomization methodology in which the last digits of internal subject identifiers are randomized in real-time to study arms via EHR decision support rules. The method was successfully validated in a multi-site pragmatic randomized trial and could facilitate similar pragmatic trials of informatics interventions at scale.

Speaker(s):
Christian Balbin, PhD Student
University of Utah

Author(s):
Polina Kukhareva, PhD, MPH, FAMIA - University of Utah; Kensaku Kawamoto, MD, PhD, MHS - University of Utah; Christian Balbin, PhD Student - University of Utah;