JMIR Formative Research

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.

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Completion of homework, defined as therapeutic activities assigned between sessions to reinforce skills and promote behavior change, is strongly linked to therapy outcomes. Yet, homework compliance remains low, potentially due to outdated delivery methods such as paper or email. Mobile health technologies may improve engagement by digitizing therapy tasks and tracking progress. Yosa is a mobile health app designed to facilitate homework delivery and enhance engagement between sessions for patients in therapy.

AI is an increasingly prominent feature of contemporary health care, with medical AI systems beginning to support diagnostic and therapeutic processes in many clinical domains. Alongside the anticipated benefits of these technologies, their introduction also raises broader questions about how clinical work and professional roles may change. In particular, medical AI systems may affect physician autonomy, a key factor influencing the acceptance and long-term implementation of new medical technologies.

Type 1 diabetes remains an underrecognized and challenging condition across Southeast Asia, where many countries face limited health care infrastructure, shortages of trained health care professionals, inconsistent access to diabetes education, and a lack of culturally appropriate resources in local languages. These barriers contribute to delayed diagnosis, suboptimal self-management, high rates of diabetic ketoacidosis, and inequities in care. During the COVID-19 pandemic, Action4Diabetes, a nonprofit organization working with local health care professionals and diabetes associations across Southeast Asia, developed HelloType1, a multilingual digital educational platform designed to improve awareness, education, and access to credible type 1 diabetes information. The platform was launched sequentially in Cambodia in 2021, Vietnam and Thailand in 2022, and Malaysia in 2023 through formal memorandums of understanding with local partners.

Rapid digital transformation is reshaping health care, but many digital initiatives struggle to deliver sustained organizational value when they are introduced as stand-alone technologies rather than as part of an institutional strategy. In Saudi Arabia, Vision 2030 has intensified pressure on academic medical centers to strengthen digital capability, localize innovation, and reduce dependence on externally driven solutions.

Using publicly available 2024 VISUCHIR (Visualisation de la Chirurgie) benchmarking indicators, we performed a descriptive ecological comparison of national private-sector values and 4 early-adopter French private departments implementing the Betty Coaching perioperative digital pathway; early-adopter departments showed a directionally favorable, unadjusted profile for same-day discharge, mean length of stay, and VISUCHIR-reported readmission-evolution indicators, without causal inference.

The postpartum period represents a critical window for maternal health, yet many individuals lack sustained support and timely identification of physical and mental health risks. Digital health interventions offer a scalable approach to extend care beyond clinical settings. Yet, key elements, including real-world challenges, usability, and effectiveness of such platforms, are insufficiently characterized in this literature.