JMIR Formative Research

Health care professional–generated vignettes are commonly used to illustrate and analyze patient experiences, shaped through clinical reflection to support provider understanding, training, and practice improvement. However, the subjective interpretation of narratives and the time-consuming manual process limit this approach. As an alternative, patients could record video blogs (vlogs) of their experiences, which can then be transformed into vignettes using GenAI and carefully designed prompts.

Popular discourse often frames prescription stimulants Ritalin and Adderall as drugs for teens and emerging adults with greater financial resources (eg, students or young professionals), while illicit stimulants such as crack or methamphetamine are often considered drugs for older adults with lower incomes. Crack and methamphetamine are also frequently used in combination with opioids to offset the sedating effects of adulterants such as fentanyl and xylazine in the unregulated drug supply. This combination of stimulant and opioid use creates additional overdose risks and may require new public health approaches. Our team posited that creating effective messages to protect against overdose in the context of stimulant use entailed first developing a better understanding of which stimulants people are using in combination with opioids.

Respiratory inductance plethysmography (RIP) belts are the standard for measuring thoracoabdominal movements in home sleep apnea testing (HSAT), but are often cumbersome and power-intensive.

Large language models (LLMs) have shown promising performance on medical examinations across specialties. However, comparative evaluations of current-generation LLMs across multiple European anesthesiology examinations, alongside structured assessment of hallucinations vs question-related confusion, remain lacking.

Modifiable health risks in pregnancy are common and contribute to adverse maternal and infant outcomes, yet preventive care addressing these risks can be difficult to deliver within time-limited antenatal appointments. Hybrid models combining in-person care with digital platforms offer a promising solution; however, there is limited evidence regarding consumer and health care professional perspectives on the preferred content and functionality of such platforms to inform their design.

Systematic literature reviews (SLRs) are essential for evidence synthesis in health research but remain labor-intensive, especially at the screening stage. Manual review of titles and abstracts requires substantial human effort, while existing automation tools still have limited adoption in health technology assessment. The EQ-5D questionnaire, a widely used patient-reported outcome measure for health-related quality of life, provides data that frequently underpin reimbursement and policy decisions.

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Behavioral and psychological symptoms of dementia (BPSD) are among the most challenging aspects of dementia care and contribute substantially to care partner burden. Family care partners, who provide most community-based dementia care, often lack access to evidence-based, nonpharmacological interventions for managing BPSD, particularly in underserved communities. Mobile health (mHealth) apps offer a promising avenue to expand care partners’ access to caregiving support. However, existing dementia caregiving apps frequently provide generalized information rather than personalized guidance based on care partners’ priorities.

Autism spectrum disorder is underdiagnosed in adults, with increasing demand on diagnostic services and prolonged waiting times. AI-powered tools may offer scalable solutions for early screening and triage.

The SimZones model is an organizational framework for simulation-based education that structures learning across 5 progressive zones, from self-directed preparatory activities (zone 0) to team-based clinical scenarios (zones 1‐4). However, empirical evidence on the impact of zone 0 regarding procedural skill acquisition and retention remains limited.

Generative AI can reduce the academic-writing burden on clinical health care professionals, but unsupervised use introduces citation hallucination (the confident fabrication or misattribution of references), which threatens research integrity. When a machine invents a source, it is termed “hallucination,” and when a person does it, it is termed “fabrication,” yet both are equally unacceptable. Existing health professions education writing workshops have rarely translated this concern into a concrete, reproducible source-verification procedure.

The prospective prescription review system can improve prescription rationality, but its effectiveness in high-volume specialty care settings is not well established.