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Audio is increasingly used to access information on the Internet through virtual assistants and smart speakers. Our objective is to evaluate the distribution of health information through audio.

Our study team adapted the MyPEEPS (Male Youth Pursuing Empowerment, Education, and Prevention around Sexuality) curriculum, an evidence-based human immunodeficiency virus (HIV) prevention intervention, from a face-to-face, group-based intervention to an individual-level mobile responsive web-based intervention to improve HIV risk behaviors in very young men, aged 13-18 years.

To illustrate key contextual factors that may have effects on clinical decision support (CDS) adoption and, ultimately, success.

Chronic diseases often have long durations with slow, nonlinear progression and complex, and multifaceted manifestation. Modeling the progression of chronic diseases based on observational studies is challenging. We developed a framework to address these challenges by building probabilistic disease progression models to enable better understanding of chronic diseases and provide insights that could lead to better disease management.

Growing recognition that health is shaped by social and economic circumstances has resulted in a rapidly expanding set of clinical activities related to identifying, diagnosing, and intervening around patients' social risks in the context of health care delivery. The objective of this exploratory analysis was to identify existing documentation tools in common US medical coding systems reflecting these emerging clinical practices to improve patients' social health.

To evaluate end-user acceptance and the effect of a commercial handheld decision support device in pediatric intensive care settings. The technology, pac2, was designed to assist nurses in calculating medication dose volumes and infusion rates at the bedside.

Usable tools to support individual primary care clinicians in their diagnostic processes could help to reduce preventable harm from diagnostic errors. We conducted a formative study with primary care providers to identify key requisites to optimize the acceptability of 1 online collective intelligence platform (Human Diagnosis Project; Human Dx).

Develop a multifunctional analytics platform for efficient management and analysis of healthcare data.

We sought to assess the current state of risk prediction and segmentation models (RPSM) that focus on whole populations.