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

BACKGROUND: Communication 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 cont...

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Autores principales: Baratta, Laura R, Harford, Derek, Sinsky, Christine A, Kannampallil, Thomas, Lou, Sunny S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589827/
https://www.ncbi.nlm.nih.gov/pubmed/37801359
http://dx.doi.org/10.2196/48583
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author Baratta, Laura R
Harford, Derek
Sinsky, Christine A
Kannampallil, Thomas
Lou, Sunny S
author_facet Baratta, Laura R
Harford, Derek
Sinsky, Christine A
Kannampallil, Thomas
Lou, Sunny S
author_sort Baratta, Laura R
collection PubMed
description BACKGROUND: Communication 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. OBJECTIVE: This 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. METHODS: We 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). RESULTS: A 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). CONCLUSIONS: Secure 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.
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spelling pubmed-105898272023-10-22 Characterizing the Patterns of Electronic Health Record–Integrated Secure Messaging Use: Cross-Sectional Study Baratta, Laura R Harford, Derek Sinsky, Christine A Kannampallil, Thomas Lou, Sunny S J Med Internet Res Original Paper BACKGROUND: Communication 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. OBJECTIVE: This 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. METHODS: We 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). RESULTS: A 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). CONCLUSIONS: Secure 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. JMIR Publications 2023-10-06 /pmc/articles/PMC10589827/ /pubmed/37801359 http://dx.doi.org/10.2196/48583 Text en ©Laura R Baratta, Derek Harford, Christine A Sinsky, Thomas Kannampallil, Sunny S Lou. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 06.10.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Baratta, Laura R
Harford, Derek
Sinsky, Christine A
Kannampallil, Thomas
Lou, Sunny S
Characterizing the Patterns of Electronic Health Record–Integrated Secure Messaging Use: Cross-Sectional Study
title Characterizing the Patterns of Electronic Health Record–Integrated Secure Messaging Use: Cross-Sectional Study
title_full Characterizing the Patterns of Electronic Health Record–Integrated Secure Messaging Use: Cross-Sectional Study
title_fullStr Characterizing the Patterns of Electronic Health Record–Integrated Secure Messaging Use: Cross-Sectional Study
title_full_unstemmed Characterizing the Patterns of Electronic Health Record–Integrated Secure Messaging Use: Cross-Sectional Study
title_short Characterizing the Patterns of Electronic Health Record–Integrated Secure Messaging Use: Cross-Sectional Study
title_sort characterizing the patterns of electronic health record–integrated secure messaging use: cross-sectional study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589827/
https://www.ncbi.nlm.nih.gov/pubmed/37801359
http://dx.doi.org/10.2196/48583
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