Evidence map›Paper›PMID 40085321›Full record

ArticleJournal of general internal medicine2025

Association of EHR-Integrated Secure Messaging Use with Clinician Workload and Attention Switching.

Daphne Lew, Laura R Baratta, Linlin Xia, Elise Eiden, Christine A Sinsky, Thomas Kannampallil, Sunny S Lou

Abstract readMulticenter Study
In one paragraph

Article in Journal of general internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Daphne LewCenter for Biostatistics and Data Science, Washington University School of Medicine, St. Louis, MO, USA.
Laura R BarattaDivision of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, MO, USA.
Linlin XiaDivision of Computational and Data Sciences, Washington University School of Medicine, St. Louis, MO, USA.
Elise EidenDepartment of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA.
Christine A SinskyAmerican Medical Association, Chicago, IL, USA.
Thomas KannampallilDepartment of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA.
Sunny S LouDepartment of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA. slou@wustl.edu.ORCID 0000-0002-4215-605X

Funding

Intelligent Clinical Decision Support for Perioperative Blood ManagementK23HL166880 · NHLBI · WASHINGTON UNIVERSITY · PI Sunny S. Lou · 2024 to 2026
$521k
American Medical Association Practice Transofrmation GrantNHLBI NIH HHS K23 HL166880
6 · The paper itself

Abstract

backgroundSecure messaging use for clinician-to-clinician communication has grown rapidly in recent years.

objectiveTo examine the association between secure messaging use, electronic health record (EHR) time, and frequency of attention switching among clinicians primarily working in an inpatient setting.

designRetrospective cohort study.

participantsAttending physicians, trainee physicians, and advanced practice providers who worked in an inpatient setting during a 3-month period (February-April, 2023) from 14 hospitals within a large midwestern health system. MAIN MEASURES: Secure messaging use (i.e., Epic Secure Chat) was measured as the total number of messages sent or received between clinicians, aggregated at the clinician-day level. The primary outcomes were EHR time (a measure for workload) and the frequency of patient switching (a measure for cognitive burden) within the EHR. Linear mixed-effect models were used to examine the association between daily secure messaging volume and the primary outcomes, adjusting for age, gender, patient load, and correlations within clinicians and clinical service assignments. KEY

resultsA total of 3996 clinicians (2174 [54%] female, median age 38 years [IQR 33, 48]) with 103,285 clinical work days, > 145 million audit log actions, and ~ 4.5 million secure messages were included. Median secure messaging volume was 9 (IQR 0, 51) messages per day, median EHR time was 250.5 min (IQR 140.3, 377.4) per day, and median number of patient switches was 79 (IQR 35, 147) per day. An increase in secure messaging volume from the 25th to 75th percentile was associated with a 25.5 min (95% CI 24.8, 26.2, p < 0.001) increase in EHR time and 18.1 (95% CI 17.6,18.6, p < 0.001) additional patient switches.

conclusionsSecure messaging use was associated with increased EHR time and frequency of attention switching. The results suggest that secure messaging use is associated with clinician work behaviors, potentially contributing to increased workload and cognitive burden.

Indexed as

AttentionElectronic Health RecordsWorkloadAdultCohort StudiesFemaleHumansMaleMiddle AgedRetrospective Studiesclinical workloadcommunicationelectronic health recordsecure messaging

Identifiers

PMID40085321
PMCPMC12343377

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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.