ArticleApplied clinical informatics2019
Inpatient Communication Networks: Leveraging Secure Text-Messaging Platforms to Gain Insight into Inpatient Communication Systems.
Article in Applied clinical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Electronic Medical Record-Based Electronic Messaging Among Patients with Breast Cancer: A Systematic Review.Applied clinical informatics · 2023Pooled it
- Characterization of Secure Message Use in a Children's Hospital.Hospital pediatrics · 2026Article
- Social Network Analysis of Secure Text Messaging Metadata During Clinical Deterioration in an Inpatient Children's Hospital Setting.Journal of medical systems · 2025Article
- Networked Behaviors Associated With a Large-Scale Secure Messaging Network: Cross-Sectional Secondary Data Analysis.JMIR medical informatics · 2025Article
- Effect of Smartphone-Based Messaging on Interns and Nurses at an Academic Medical Center: Observational Study.JMIR medical informatics · 2025Observational
- Characterizing the Patterns of Electronic Health Record-Integrated Secure Messaging Use: Cross-Sectional Study.Journal of medical Internet research · 2023Observational
- Effectiveness, safety, and efficiency of a drive-through care model as a response to the COVID-19 testing demand in the United States.Journal of the American College of Emergency Physicians open · 2022Article
- Voting with Their Thumbs: Assessing Communication Technology Use by Medical, Nursing, Midwifery, and Allied Health Clinicians.Applied clinical informatics · 2022Article
- Predicting Health Care Providers' Acceptance of a Personal Health Record Secure Messaging Feature.Applied clinical informatics · 2022Article
- Information Security Awareness and Behaviors of Health Care Professionals at Public Health Care Facilities.Applied clinical informatics · 2021Article
- The Effect of WeChat on Parental Care Burden, Anxiety, and Depression in Children after CHD Surgery during COVID-19 Pandemic.Applied clinical informatics · 2021Article
- Evaluating the Impact of a New Smartphone Texting Tool on Patient Care in Obstetrics, an Emergent Healthcare Setting.Applied clinical informatics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study attempts to characterize the inpatient communication network within a quaternary pediatric academic medical center by applying network analysis methods to secure text-messaging data.
methodsWe used network graphing and statistical software to create network models of an inpatient communication system with secure text-messaging data from physicians, nurses, and other ancillary staff in an academic medical center. Descriptive statistics about the network, users within the network, and visualizations informed the team's understanding of the network and its components.
resultsAnalysis of messages exchanged over approximately 23 days revealed a large, scale-free network with 4,442 nodes and 59,913 edges. Quantitative description of user behavior (messages sent and received) and network metrics (i.e., importance of nodes within a network) revealed several operational and clinical roles both sending and receiving > 1,000 messages over this time period. While some of these nodes represented expected "dispatcher" roles in our inpatient system, others occupied important frontline clinical roles responsible for bedside clinical care.
conclusionQuantitative and network analysis of secure text-messaging logs revealed several key operational and clinical roles at risk for alert fatigue and information overload. This analysis also revealed a communication network highly reliant on these key roles, meaning disruption to these individuals or their workflows could lead to dysfunction of the communication network. While secure text-messaging applications play increasingly important roles in facilitating inpatient communication, little is understood about the impact these systems have on health care providers. Developing methods to understand and optimize communication between inpatient providers might help operational and clinical leaders to proactively prevent poorly understood pitfalls associated with these systems and build resilient and effective communication structures.
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Registered trials
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.