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Implementation of Medication-Related Technology and Its Impact on Pharmacy Workflow: Real-World Evidence Usability Study

Implementation of Medication-Related Technology and Its Impact on Pharmacy Workflow: Real-World Evidence Usability Study

Differences among the intervention periods were analyzed using chi-square or Fisher exact tests. The Bonferroni method was applied to adjust for multiple comparisons. All statistical analyses were conducted using R software (version 4.1.0, R Foundation for Statistical Computing).

Wei-Ning Yu, Yih-Dih Cheng, Yu-Chi Hou, Yow-Wen Hsieh

J Med Internet Res 2025;27:e59220

Theory-Based Social Media Intervention for Nonmedical Use of Prescription Opioids in Young Adults: Protocol for a Randomized Controlled Trial

Theory-Based Social Media Intervention for Nonmedical Use of Prescription Opioids in Young Adults: Protocol for a Randomized Controlled Trial

Attrition tests will be used (ie, chi-square tests and ANOVA) on demographics and outcomes at baseline. Descriptive statistics will be reported on primary (feasibility outcomes) and secondary outcomes (psychosocial and behavioral outcomes). Preliminary outcomes from baseline and 12 week will be tested using repeated measures analysis of covariance, controlling for demographics.

Cheuk Chi Tam, Sean D Young, Sayward Harrison, Xiaoming Li, Alain H Litwin

JMIR Res Protoc 2025;14:e65847

Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning–Based Audio Enhancement: Algorithm Development and Validation

Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning–Based Audio Enhancement: Algorithm Development and Validation

Our team collected these recordings at the emergency department of the Hsin-Chu Branch at the National Taiwan University Hospital (NTUH). We used the Ca RDIa RT DS101 electronic stethoscope, where each recording is 10 seconds long. To ensure the accuracy of the annotations, a team of 7 senior physicians meticulously annotated the audio samples. The annotations focused on identifying coarse crackles, wheezes, or normal respiratory sounds.

Jing-Tong Tzeng, Jeng-Lin Li, Huan-Yu Chen, Chu-Hsiang Huang, Chi-Hsin Chen, Cheng-Yi Fan, Edward Pei-Chuan Huang, Chi-Chun Lee

JMIR AI 2025;4:e67239