Evidence map›Paper›PMID 40646683›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2025

Differences in physician electronic health record use by telemedicine intensity: evidence from 2 academic medical centers.

Seunghwan Kim, Robert Thombley, Elise Eiden, Sunny Lou, Julia Adler-Milstein, Thomas Kannampallil, A Jay Holmgren

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Seunghwan KimRoy and Diana Vagelos Division of Biology and Biomedical Sciences, Washington University School of Medicine in St Louis, Saint Louis, MO 63110, United States.ORCID 0000-0001-9447-4888
Robert ThombleyDivision of Clinical Informatics and Digital Transformation, Department of Medicine, University of California San Francisco, San Francisco, CA 94131, United States.
Elise EidenDepartment of Anesthesiology, Washington University School of Medicine in St Louis, Saint Louis, MO 63110, United States.
Sunny LouInstitute for Informatics, Data Science, and Biostatistics (I2DB), Washington University School of Medicine in St Louis, Saint Louis, MO 63110, United States.ORCID 0000-0002-4215-605X
Julia Adler-MilsteinDivision of Clinical Informatics and Digital Transformation, Department of Medicine, University of California San Francisco, San Francisco, CA 94131, United States.
Thomas KannampallilInstitute for Informatics, Data Science, and Biostatistics (I2DB), Washington University School of Medicine in St Louis, Saint Louis, MO 63110, United States.ORCID 0000-0003-4119-4836
A Jay HolmgrenDivision of Clinical Informatics and Digital Transformation, Department of Medicine, University of California San Francisco, San Francisco, CA 94131, United States.ORCID 0000-0002-7939-6831

Funding

Assessing the Effect of Telemedicine on Physician EHR Work, Cognition, and Process Outcomes (ASPIRE)R01LM013778 · NLM · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ADLER-MILSTEIN, JULIA ROSE, KANNAMPALLIL, THOMAS GEORGE · 2021 to 2024
$1.4M
Intelligent Clinical Decision Support for Perioperative Blood ManagementK23HL166880 · NHLBI · WASHINGTON UNIVERSITY · PI Sunny S. Lou · 2024 to 2026
$521k
NHLBI NIH HHS K23 HL166880NIH HHSNLM NIH HHS R01 LM013778NLM NIH HHS R01LM013778
6 · The paper itself

Abstract

objectiveEvaluate the association between telemedicine intensity and ambulatory physician electronic health record (EHR) use following the COVID-19 pandemic. MATERIALS AND

methodsThis retrospective study included ambulatory physicians in 11 specialties at 2 large academic medical centers (Washington University in St Louis [WashU], University of California San Francisco [UCSF]). EHR use measures, including time-based and frequency-based, were analyzed in the post-COVID-19 period (March 1, 2021, through March 7, 2022). Multivariable regression models with 2-way fixed effects were used to assess the association between telemedicine intensity and EHR use.

resultsFully telemedicine physician-weeks were associated with higher EHR (hours per 8 patient scheduled hours; β = 3.2 at WashU, β = 1.4 at UCSF; P < .001) and documentation time (β = 2.7 at WashU, β = 1.4 at UCSF; P < .001). Several differences in discrete EHR-based tasks were observed: fully telemedicine physician-days were associated with lesser ordering, and there were mixed patterns for information seeking and clinical communication tasks. DISCUSSION: Expanded use of telemedicine was associated with significant changes in physician EHR use post-COVID-19 onset. Increased EHR time may suggest a shift in workload, whereas decreased ordering may suggest constraints in virtual care, such as ability to perform physical examination and the reliance on patient-reported symptoms. Institutional differences usage patterns suggest that telemedicine's impact is context-specific and provides opportunities for understanding how to optimize EHRs to support telemedicine.

conclusionTelemedicine shifts physician EHR. Supporting physicians through optimized EHR tools, tailored workflows, and team-based interventions is essential for sustainable virtual care delivery without exacerbating EHR burden.

Indexed as

Electronic Health RecordsPhysiciansTelemedicineAcademic Medical CentersCOVID-19HumansRetrospective StudiesSARS-CoV-2audit logsEHR metadataelectronic health recordsphysician workflowtelemedicine

Identifiers

PMID40646683
PMCPMC12361853

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.