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Networked Behaviors Associated With a Large-Scale Secure Messaging Network: Cross-Sectional Secondary Data Analysis.

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Summary
This summary is machine-generated.

Secure messaging networks reveal communication patterns among health care professionals. Connectivity influences messaging behaviors, offering insights for improved clinical coordination and patient outcomes.

Keywords:
EHRbehaviorcommunicationelectronic health recordhealth care communicationinterprofessionalinterprofessional communicationmessagemessagingmessaging networkmessaging platformsnetwork analysissecure messagingsocial networksocial network analysis

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Area of Science:

  • Health Informatics
  • Social Network Analysis
  • Healthcare Communication Systems

Background:

  • Secure messaging is the preferred communication method for healthcare professionals.
  • Understanding communication networks is crucial for optimizing healthcare delivery.
  • Limited research exists on the structure and dynamics of these networks.

Purpose of the Study:

  • To investigate the characteristics of a large-scale secure messaging network.
  • To analyze the association between network structure and healthcare professional messaging behaviors.

Main Methods:

  • Social network analysis of secure messaging data from a large Midwestern health system (June-November 2023).
  • Quantified network properties at global and individual levels.
  • Used hierarchical clustering to identify professional groups and assess messaging behaviors (read/response times, message volume, length).

Main Results:

  • The network comprised 31,800 professionals and over 7.6 million messages.
  • Network characteristics varied significantly by practice setting and professional role.
  • Four distinct clusters emerged, showing significant differences in messaging behaviors; one cluster of inpatient physicians demonstrated highest connectivity and fastest response times.

Conclusions:

  • Healthcare professional connectivity within secure messaging networks varies by role and setting.
  • Network connectivity is linked to daily messaging behaviors.
  • Findings offer insights for interventions to streamline communication and potentially improve clinician work and patient outcomes.