<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>13</volume><submitter>Baratta LR</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Communication among health care professionals is essential for effective clinical care. Asynchronous text-based clinician communication-secure messaging-is rapidly becoming the preferred mode of communication. The use of secure messaging platforms across health care institutions creates large-scale communication networks that can be used to characterize how interaction structures affect the behaviors and outcomes of network members. However, the understanding of the structure and interactions within these networks is relatively limited.&lt;h4>Objective&lt;/h4>This study investigates the characteristics of a large-scale secure messaging network and its association with health care professional messaging behaviors.&lt;h4>Methods&lt;/h4>Data on electronic health record-integrated secur</pubmed_abstract><journal>JMIR medical informatics</journal><pagination>e66544</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12287983</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Networked Behaviors Associated With a Large-Scale Secure Messaging Network: Cross-Sectional Secondary Data Analysis.</pubmed_title><pmcid>PMC12287983</pmcid><pubmed_authors>Baratta LR</pubmed_authors><pubmed_authors>Contractor N</pubmed_authors><pubmed_authors>Xia L</pubmed_authors><pubmed_authors>Eiden E</pubmed_authors><pubmed_authors>Kannampallil T</pubmed_authors><pubmed_authors>Lew D</pubmed_authors><pubmed_authors>Wu YJ</pubmed_authors><pubmed_authors>Lou SS</pubmed_authors><pubmed_authors>Lambert BL</pubmed_authors></additional><is_claimable>false</is_claimable><name>Networked Behaviors Associated With a Large-Scale Secure Messaging Network: Cross-Sectional Secondary Data Analysis.</name><description>&lt;h4>Background&lt;/h4>Communication among health care professionals is essential for effective clinical care. Asynchronous text-based clinician communication-secure messaging-is rapidly becoming the preferred mode of communication. The use of secure messaging platforms across health care institutions creates large-scale communication networks that can be used to characterize how interaction structures affect the behaviors and outcomes of network members. However, the understanding of the structure and interactions within these networks is relatively limited.&lt;h4>Objective&lt;/h4>This study investigates the characteristics of a large-scale secure messaging network and its association with health care professional messaging behaviors.&lt;h4>Methods&lt;/h4>Data on electronic health record-integrated secur</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Jul</publication><modification>2026-05-09T00:08:21.013Z</modification><creation>2026-04-08T00:18:14.87Z</creation></dates><accession>S-EPMC12287983</accession><cross_references><pubmed>40638810</pubmed><doi>10.2196/66544</doi></cross_references></HashMap>