Evidence map›Paper›PMID 41646708›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Embedded point of care stratified block randomization: demonstration of the point of care randomization (POCR) engine with an electronic health record pragmatic clinical trial.

Catherine Sarkisian, Khalda Ibrahim, Sitaram Vangala, Chad Wes Villaflores, Eric M Cheng, William Turner, Richard K Leuchter, Amy Machado, Julia Tabar, Jade A Verdeflor and 3 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Catherine SarkisianDivision of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Khalda IbrahimDepartment of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Sitaram VangalaDivision of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Chad Wes VillafloresDivision of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Eric M ChengDivision of Medical Informatics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
William TurnerDivision of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Richard K LeuchterDivision of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Amy MachadoUniversity of California Los Angeles Health Information Technology, Information Services & Solutions, Medical Informatics, Los Angeles, CA, USA.
Julia TabarUniversity of California Los Angeles Health Information Technology, Information Services & Solutions, Medical Informatics, Los Angeles, CA, USA.
Jade A VerdeflorUniversity of California Los Angeles Health Information Technology, Information Services & Solutions, Medical Informatics, Los Angeles, CA, USA.
Jory PurvisSchool of Medicine Technology Services, University of California San Francisco, San Francisco, CA, USA.
Alina GoncharovaResearch Informatics, University of California San Francisco, San Francisco, CA.
Mark J PletcherDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
Midcareer Award in Patient-Oriented Community-Academic Partnered Aging ResearchK24AG047899 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SARKISIAN, CATHERINE A · 2014 to 2025
$2.0M
Using Machine Learning and Patient-Reported Outcomes to Identify Unnecessary HospitalizationsK38HL164955 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEUCHTER, RICHARD K · 2022 to 2023
$224k
NCATS NIH HHS UL1 TR001872NCATS NIH HHS UL1 TR001881NHLBI NIH HHS K38 HL164955NIA NIH HHS K24 AG047899
6 · The paper itself

Abstract

We describe a new custom feature within our Epic Systems electronic health record (EHR) that automates stratified randomization at the point-of-care or order. As a demonstration use-case, we conducted a randomized trial of a provider-facing alert for short-interval HbA1c orders. Over 3 months the alert dramatically reduced repeat orders. This transportable clinical informatics application transforms health systems' ability to conduct pragmatic clinical trials and deliver clinical care within the EHR.

Identifiers

PMID41646708
PMCPMC12870708

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.