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

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

This is also reflected in cluster 1’s increased message volume and messaging behavior, most likely highlighting their role in clinical decision-making. However, such a centralized communication structure may also increase physicians’ workload and cognitive burden arising from an increased messaging volume [57]. Similarly, there was one cluster (cluster 4) of nurses and medical assistants who had fewer connections and were not as central within the network.

Laura Rosa Baratta, Linlin Xia, Daphne Lew, Elise Eiden, Y Jasmine Wu, Noshir Contractor, Bruce L Lambert, Sunny S Lou, Thomas Kannampallil

JMIR Med Inform 2025;13:e66544

Strategy for Withdrawal of Pharmacological Treatment for Urinary Incontinence in Children (StayDry): Protocol for an Open-Label Prospective Randomized Trial

Strategy for Withdrawal of Pharmacological Treatment for Urinary Incontinence in Children (StayDry): Protocol for an Open-Label Prospective Randomized Trial

It is the wish of the participant (or their parents or parental custody holder[s]) for any reason (withdrawal of informed consent). The discretion of the investigator is for safety reasons. Severe compliance with study procedure as described in the protocol, as judged by the investigator. The investigator judges it as necessary due to medical reasons.

Ann-Kristine Mandøe Svendsen, Søren Hagstrøm, Konstantinos Kamperis, Anna Elizabeth Andersen, Nanna Celina Henneberg, Jason Van Batavia, Anne Estrup Olesen, Luise Borch

JMIR Res Protoc 2025;14:e63226

Improving the Readability of Institutional Heart Failure–Related Patient Education Materials Using GPT-4: Observational Study

Improving the Readability of Institutional Heart Failure–Related Patient Education Materials Using GPT-4: Observational Study

We aim to expand on the previous literature by assessing the readability of heart failure–related online PEMs from renowned cardiology institutions, assessing GPT-4’s ability to improve the readability of these PEMs, and comparing the accuracy and comprehensiveness between institutional PEMs and GPT-4’s revised PEMs.

Ryan C King, Jamil S Samaan, Joseph Haquang, Vishnu Bharani, Samuel Margolis, Nitin Srinivasan, Yuxin Peng, Yee Hui Yeo, Roxana Ghashghaei

JMIR Cardio 2025;9:e68817