Background: Patient-generated health data (PGHD) are increasingly recognized as valuable for clinical care and secondary use; however, physicians’ perspectives remain heterogeneous and context-dependent. Objective: This study aimed to examine physicians’ perceptions, intentions, and concerns about the clinical and nonclinical use of PGHD and to compare responses between tertiary hospitals and other institutions. Methods: A cross-sectional […]

Background: Underdiagnosis and undercoding are common across mental health conditions, particularly suicide and self-harm. This leaves health care datasets lacking reliable negative examples needed for predictive modeling, phenotype prevalence estimation, and identification of individuals at elevated risk. We use positive and unlabeled (PU) learning to address this challenge. Objective: This study aims to identify US […]

Background: The widespread adoption of the internet has established online health information–seeking behavior (OHISB) as a primary channel for public health knowledge acquisition, potentially influencing patient adherence behaviors and physician-patient dynamics. However, the underlying pathways, particularly the role of physician-patient communication efficacy and the differential impact of various digital platforms, remain underexplored, especially among rural […]

Background: Effective clinical communication is essential for medical practice, with standardized patients (SPs) being a reliable standard training method despite resource limitations. While large language models (LLMs) show strong role-playing abilities, current virtual patients (VPs) based on single LLMs face fidelity and interaction challenges. Recent advances in multiagent frameworks, which have demonstrated considerable potential in […]