JMIR Formative Research

Intravenous drug incompatibility is a significant medication safety hazard, particularly in complex multidrug regimens. Traditional text-based, pairwise query methods are inefficient and impose a substantial cognitive load on clinicians. While network visualization has the potential to address these challenges, its application in drug compatibility queries remains underexplored.

Duchenne muscular dystrophy (DMD) is a progressive, multisystem disease requiring long-term monitoring of respiratory, cardiac, and functional status. Advances in care have extended survival, increasing the need for continuous, coordinated management. In parallel, digital health technologies have enabled remote monitoring and data collection outside traditional clinical settings. This Viewpoint examines the role of device-based remote monitoring in DMD and argues that it should be understood as an emerging multisystem digital surveillance framework rather than a collection of isolated technologies. This Viewpoint is based on a synthesis of published literature on device-based remote monitoring and digital health technologies in DMD and experiences at our center. The aim was to outline the current clinical and technological landscape and support an interpretive perspective. Device-based monitoring in DMD encompasses a range of technologies, including home spirometry, ventilator-integrated telemonitoring, wearable activity sensors, cardiac rhythm monitoring, and interactive rehabilitation systems. These approaches enable longitudinal assessment of physiological and functional parameters in real-world settings. However, the current evidence base is heterogeneous and largely limited to feasibility studies, small cohorts, and extrapolated data. While data acquisition is technically feasible and increasingly available, integration into clinical workflows remains constrained by the lack of validated digital biomarkers, standardized monitoring frameworks, and interoperable data systems. Remote monitoring in DMD is evolving toward a connected, multisystem model of disease surveillance. Its clinical impact will depend on the validation of digital end points, development of decision support frameworks, and integration into multidisciplinary care pathways. Bridging the gap between data generation and clinical decision-making remains a key priority for future research and implementation. These findings support a shift from isolated technologies toward a coordinated, clinically integrated model of multisystem care in DMD.

Depression carries the highest burden of mental health–related disability in the United States. Approximately 13% of military veterans report elevated rates of depression. Despite the availability of evidence-based treatments for depression, nearly 50% of veterans in need of mental health care remain untreated. Internet-based interventions show promise in reducing this gap; however, there are currently no standard self-guided internet-based interventions for depressive symptoms in veterans. Deprexis is one such intervention that leverages cognitive behavioral therapy to target depressive symptoms.

Adolescents and young adults seeking contraceptive care face many considerations related to differences in contraceptive indications and knowledge, which are often overlooked and can lead to contraceptive nonadherence or nonuse as well as adverse health outcomes.

Community college (CC) students face significant mental health concerns but are unlikely to receive treatment. Barriers to mental health service uptake among CC students have been delineated, but few studies have identified strategies to improve uptake. Text messaging has been used to address engagement barriers to mental health services among adolescents and adults, but little research has explored this strategy for CC students.

Medication adherence is defined as the degree to which the medications taken reflect the prescribed intention and is influenced by various factors. Different factors, such as parental trauma or parenting style, may influence their child or children’s medical treatment adherence. Authoritative, or “flexible,” parenting is known to develop the most nurturing relationship between parent and child or children. The relationship between parental factors, such as parenting style and trauma level, and their influence on child medication adherence is being explored.

Large language models (LLMs) have demonstrated expert-level performance on medical licensing examinations, but most benchmarks focus on final accuracy. Critical gaps remain in understanding model efficiency (latency), the efficacy of tiered “rescue” protocols for error correction, and the systematic correlation between performance and human-rated question difficulty. The German M2 examination, paired with the AMBOSS platform’s user data–driven difficulty ratings, provides an opportunity to map AI performance against human cognitive load.

Residents in pediatric endocrinology subspecialty units encounter diverse educational scenarios spanning theory, skills, and attitudes; yet, brief residencies frequently limit their exposure to certain clinical cases. Research in medical education demonstrates that e-learning can address such challenges efficiently. We implemented a blended learning model grounded in the Kolb learning cycle that uses structured, case-based e-learning.

SARS-CoV-2 remains a common cause of acute respiratory illness; however, symptom-based triage poorly discriminates it from other febrile conditions. A recently developed artificial intelligence (AI)–powered pharyngeal camera acquires pharyngeal images and clinical data to assist in influenza diagnosis; leveraging this workflow, we evaluated an adjunct AI algorithm (COVID-19-AI) that reports high, medium, or low suspicion to guide whether SARS-CoV-2 testing should subsequently be performed.

Empathic communication in the clinical setting has been associated with improved clinical outcomes, decreased anxiety, and increased patient satisfaction, treatment adherence, and trust. Despite the recent growth in patient portal use, the expression of empathic communication through patient portal secure messages is not well understood.

Social media is an increasingly prominent channel for communicating menopause information and experiences, yet the affective and behavioral consequences of different narrative framings remain unclear.

No preview text available.