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Mobile technologies may be suitable for delivering Ecological Momentary Interventions (EMI) to treat anxiety in real-time. This review aims to synthesize evidence on the effectiveness of EMI for treating anxiety conditions.

The aim of this systematic review was to synthesize current knowledge of the factors influencing healthcare professional adoption of mobile health (m-health) applications.

Prior studies of computing applications that support patients' medication knowledge and self-management offer valuable insights into effective application design, but do not address inpatient settings. This study is the first to explore the design and usefulness of patient-facing tools supporting inpatient medication management and tracking.

Electronic health records (EHRs) have great potential to improve quality of care. However, their use may diminish "patient-centeredness" in exam rooms by distracting the healthcare provider from focusing on direct patient interaction. The authors conducted a qualitative interview study to understand the magnitude of this issue, and the strategies that primary care providers devised to mitigate the unintended adverse effect associated with EHR use.

Patient-centered care has been shown to improve patient outcomes, satisfaction, and engagement. However, there is a paucity of research on patient-centered care in the inpatient setting, including an understanding of unmet informational needs that may be limiting patient engagement. Pediatric hematopoietic stem cell transplantation (HSCT) represents an ideal patient population for elucidating unmet informational needs, due to the procedure's complexity and its requirement for caregiver involvement.

To determine the impact of tethered personal health record (PHR) use on patient engagement and intermediate health outcomes among patients with coronary artery disease (CAD).

To investigate subjective experiences and patterns of engagement with a novel electronic tool for facilitating reflection and problem solving for individuals with type 2 diabetes, Mobile Diabetes Detective (MoDD).