Virtual Reality Interventions for Stress Reduction in the General Population: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Background: Increasing mental demands across multiple life domains underscore the importance of effective individual stress management to mitigate the adverse health consequences of chronic stress. Growing evidence suggests that virtual reality (VR) interventions constitute an effective approach to stress reduction. Objective: This systematic review and meta-analysis aimed to examine and compare application areas of VR […]

Patients’ Perspectives on the Implementation of AI in Radiological Diagnostics: Focus Group Study

Background: Rapid developments in artificial intelligence (AI) will enable its widespread use in radiological diagnostics in the near future. Patients will then be confronted with findings generated with the help of AI. Understanding patients’ perspectives on the use of this technology is one of the key factors for its successful implementation. Objective: This qualitative study […]

From Design to Accountable Impact for Data Dashboards in Health Care

Vornhagen and colleagues synthesize design practices for the development of health care dashboards and provide a timely reference for a rapidly expanding class of tools that increasingly mediate clinical decisions and quality improvement. The authors have defined 4 pillars of design with associated practices, establishing a practical approach to the thoughtful development of useful dashboards. […]

Association Between Wearable Device Adoption and Health-Related Lifestyle Behaviors: Retrospective Cohort Study

Background: Wearable devices are increasingly adopted for personal health monitoring, but evidence on their long-term associations with health-related lifestyle behaviors in real-world population settings remains limited. Objective: This study examined the longitudinal association between wearable device adoption and engagement in health-related lifestyle behaviors using a nationally representative panel dataset from South Korea. Methods: We analyzed […]

Sequencing AI Automation and Data Interoperability in Oncology Using a Scenario-Planning Framework Coupled With Discrete-Event Simulation: Proof-of-Concept Study

Background: As oncology workflows integrate increasingly autonomous artificial intelligence (AI) agents, health systems face uncertainty regarding operational impacts. Traditional linear forecasting methods fail to capture second-order effects such as governance saturation, induced demand, and bottleneck migration. To navigate this complexity, the emerging field of medical futures studies requires methodologies that bridge qualitative strategic foresight with […]

Training Clinicians in Private Practice in Family-Based Treatment for Anorexia Nervosa: Randomized Controlled Trial Comparing Two Online Approaches

Background: There is a critical need to disseminate efficacious psychosocial treatments for mental disorders because there is a significant gap between evidence-based treatment (EBT) approaches and usual clinical practice. To address this gap, cost-effective, efficient, and scalable methods of training mental health clinicians in EBT are needed. One example of the need to improve dissemination […]

Digital and Navigational Health Literacy in Swiss Cancer Survivors Compared With the General Population: Cross-Sectional Questionnaire Study

Background: The number of cancer survivors in Switzerland is increasing. Many individuals face challenges in dealing with health-related information and navigating the health care system. Digitalization offers new care and support opportunities, but its effective use requires digital and navigational health literacy (HL) and self-management skills. Objective: This study aimed to assess the competencies of […]

Exploring Technological Solutions for Interoperability Between Patient Electronic Medical Records and Clinical Registries: Scoping Review

Background: The use of electronic medical records (EMRs) and clinical registries has transformed health care delivery by improving data management, care coordination, and research capacity. However, the full potential of these technologies can only be realized through effective interoperability, thereby reducing the burden of manual data entry and enhancing the use of real-world clinical data. […]

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