Point of care randomization (POCR) engine: demonstration of a transportable clinical informatics technology that improves health systems’ ability to conduct embedded clinical trials
Year: 2026
Type: article
Study design: Clinical Trial
Abstract: Objective: We describe a new point of care randomization (POCR) engine developed at UCSF and implemented at UCLA that supports randomization of patients, encounters, clinics, or any other "object" in Epic, with programmable ratios, strata, and randomly varying block sizes. Materials and Methods: The feature, programmed in Caché, uses Epic rule infrastructure to implement inclusion criteria and generate and use blocks of randomization assignments. Configuration details, randomization assignments, and context information (including stratification variables) are stored in custom master files in Chronicles and exported to Clarity (Epic's reporting database). As a demonstration use-case, we conducted a pragmatic RCT of a provider-facing alert for short-interval (30-day) repeat HbA1c orders at UCLA Health. At the instant providers initiated a repeat order, the POCR engine silently enrolled and randomized patients, stratified by age and previous HbA1c, with randomly varying block sizes. Results: During the 3-month study, 333 patients were enrolled. The total number of orders signed in the intervention arm (primary outcome) was 18/172 (10%) vs 104/161 (65%) in the control arm (Incidence Rate Ratio 0.16, 0.95 CI, 0.10-0.27). Discussion: We successfully transported and deployed a new technology with the capability to instantaneously perform automated stratified block randomization. By performing eligibility assessment, enrollment, and assignment using programmable ratios, strata, and randomly varying block sizes, the POCR engine preserves internal validity while minimizing disruption to care, representing a substantive advance in informatics infrastructure for embedded randomized trials. Conclusion: The POCR engine is a transportable clinical informatics technology that transforms health systems' ability to conduct pragmatic clinical trials within the EHR.
Source: JAMIA Open
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,762
Funders: UCLA Health System, National Institutes of Health, University of California, San Francisco, National Institute on Aging, National Heart, Lung, and Blood Institute, National Center for Advancing Translational Sciences, Clinical and Translational Science Institute, University of California, Los Angeles
OpenAlex ID: W7224113563