Evidence map›Paper›PMID 37801359›Full record

Observational studyJournal of medical Internet research2023

Characterizing the Patterns of Electronic Health Record-Integrated Secure Messaging Use: Cross-Sectional Study.

Laura R Baratta, Derek Harford, Christine A Sinsky, Thomas Kannampallil, Sunny S Lou

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Changes in Communication after Transition from Paging to Collaborative Text Messaging.Journal of the American College of Emergency Physicians open · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Predicting Secure Messaging Traffic in Clinical Settings.Studies in health technology and informatics · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Review
  14. Article
  15. Article
  16. Primary Care Informatics: Vitalizing the Bedrock of Health Care.Journal of medical Internet research · 2024
    Article
  17. Review
  18. Article
  19. Article
  20. 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

5 authors.

Laura R BarattaDivision of Biology and Biomedical Sciences, Washington University School of Medicine, Saint Louis, MO, United States.ORCID 0000-0001-8644-9033
Derek HarfordDepartment of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, United States.ORCID 0000-0002-0630-2195
Christine A SinskyAmerican Medical Association, Chicago, IL, United States.ORCID 0000-0003-1101-5761
Thomas KannampallilDepartment of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, United States.ORCID 0000-0003-4119-4836
Sunny S LouDepartment of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, United States.ORCID 0000-0002-4215-605X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCommunication among health care professionals is essential for the delivery of safe clinical care. Secure messaging has rapidly emerged as a new mode of asynchronous communication. Despite its popularity, relatively little is known about how secure messaging is used and how such use contributes to communication burden.

objectiveThis study aims to characterize the use of an electronic health record-integrated secure messaging platform across 14 hospitals and 263 outpatient clinics within a large health care system.

methodsWe collected metadata on the use of the Epic Systems Secure Chat platform for 6 months (July 2022 to January 2023). Information was retrieved on message volume, response times, message characteristics, messages sent and received by users, user roles, and work settings (inpatient vs outpatient).

resultsA total of 32,881 users sent 9,639,149 messages during the study. Median daily message volume was 53,951 during the first 2 weeks of the study and 69,526 during the last 2 weeks, resulting in an overall increase of 29% (P=.03). Nurses were the most frequent users of secure messaging (3,884,270/9,639,149, 40% messages), followed by physicians (2,387,634/9,639,149, 25% messages), and medical assistants (1,135,577/9,639,149, 12% messages). Daily message frequency varied across users; inpatient advanced practice providers and social workers interacted with the highest number of messages per day (median 19). Conversations were predominantly between 2 users (1,258,036/1,547,879, 81% conversations), with a median of 2 conversational turns and a median response time of 2.4 minutes. The largest proportion of inpatient messages was from nurses to physicians (972,243/4,749,186, 20% messages) and physicians to nurses (606,576/4,749,186, 13% messages), while the largest proportion of outpatient messages was from physicians to nurses (344,048/2,192,488, 16% messages) and medical assistants to other medical assistants (236,694/2,192,488, 11% messages).

conclusionsSecure messaging was widely used by a diverse range of health care professionals, with ongoing growth throughout the study and many users interacting with more than 20 messages per day. The short message response times and high messaging volume observed highlight the interruptive nature of secure messaging, raising questions about its potentially harmful effects on clinician workflow, cognition, and errors.

Indexed as

CommunicationElectronic Health RecordsText MessagingCross-Sectional StudiesHumansInpatientsInterprofessional RelationsNursesOutpatientsclinical careclinician burdencommunicationEHRelectronic health recordinterprofessional communicationmedical assistantmessagingnursesobservational studyphysicianssecure messagingusers

Identifiers

PMID37801359
PMCPMC10589827

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.