The further promotion and application of new media technologies present new opportunities for psychiatric specialty hospitals in areas such as health education, doctor-patient communication, service extension, and brand building. However, due to the unique characteristics and sensitivity of the mental health field, the challenges faced by new media applications in this domain far exceed those […]
Differential acceptance of a national digital health platform among community and frontline health workers in Cote d’Ivoire: a cross-sectional study
IntroductionMobile-based digital health solutions are critical technologies that play a significant role in improving the quality of healthcare services. Cote d’Ivoire is digitizing its community-based health information system (CHIS), piloting the mHealth.ci that is composed of an eCHIS and other tools for community health workers (CHWs) and frontline health workers (FHWs) in the Poro health […]
Stratified and combined analysis of the quality of lumbar spinal stenosis–related videos on major Chinese short video platforms
BackgroundLumbar spinal stenosis (LSS) is a degenerative disorder in which narrowing of the spinal canal compresses neural elements, causing pain, numbness, and limited mobility. With the rapid growth of Chinese short video platforms (TikTok, Bilibili, Xiaohongshu, Kwai, and WeChat), the public increasingly relies on short videos for LSS-related health information. However, the quality of such […]
Development of a high-performance in-memory database architecture for intelligent video surveillance in critical patient care
ObjectivesThis research aims to engineer a specialized, high-speed database architecture tailored for intelligent video surveillance in critical healthcare environments. The primary objective is to overcome the input/output operations per second (IOPS) bottlenecks and latency issues inherent in traditional SQL and general-purpose NoSQL systems, which impede real-time clinical decision-making.MethodsWe conceptualized and implemented “SubDataBase-0.91s,” a task-specific Database […]
A framework for culturally adapting mental mHealth apps
Mobile health (mHealth) apps are increasingly deployed for evidence-based mental health interventions, broadening access to care. While effective, Internet-based Cognitive Behavioural Therapy, delivered via web or app, frequently overlooks ethnic minority and migrant populations. Effective cultural adaptation of mHealth apps is critical to their impact and accessibility; however, existing frameworks often lack specific guidance for […]
Privacy-preserving augmentation of structured telehealth activity data in diabetes patients using natural language processing
IntroductionDiabetes management increasingly relies on telehealth platforms in which patients generate structured and unstructured data. This unstructured data, in the form of free-text notes often contain additional information beyond the structured data. Extracting this information can enhance patient profiles and optimize treatment. In particular, the extraction of physical activity information from these notes is considered […]
Teleophthalmology adoption and perceived barriers among Colombian general practitioners: a cross-sectional study
BackgroundTelemedicine has improved access to healthcare, reduced costs, and minimized infection risks, particularly during the COVID-19 pandemic. Teleophthalmology may enhance access to eye care, but its adoption remains limited by barriers such as inadequate training and insufficient infrastructure.ObjectivesTo assess perceptions, self-reported ophthalmologic confidence, and perceived barriers related to teleophthalmology among Colombian general practitioners.MethodsWe conducted a […]
Mental health outcomes and use of online mental health tools following a public health deployment of the mindfulness meditation app headspace
BackgroundDigital mental health interventions (DMHIs), such as mindfulness-based apps, have become popular mental health resources and can be associated with benefits such as reducing stress, anxiety, and depression. However, there are limited data on the impact of DMHIs on improving mental health outside of controlled research settings, and what factors may facilitate or inhibit such […]
Beyond demographic tables: integrating data quality in clinical trial representativeness
IntroductionClinical trial representativeness is essential for ensuring that study findings generalise to target treatment populations. Current assessment approaches rely on subjective demographic comparisons that lack standardisation and fail to account for data quality. Existing data quality frameworks assess completeness at the dataset level as the availability of required data values but do not address cohort-specific […]
Health literacy and attitudes toward clinical AI: a cross-sectional study in Istanbul
ObjectiveTo examine whether health literacy is associated with attitudes toward clinical artificial intelligence (AI) and to describe subgroup differences in this association.MethodsWe used two samples. A validation sample (N = 293) was used to develop and test the psychometrics of the Artificial Intelligence Knowledge, Usage, and Attitudes Scale (AI-KUAS). A separate application sample (N = 354) completed the 14-item […]
AI-driven personalised management platform enhances glycaemic control and remission rates in type 2 diabetes: a quasi-experimental prospective cohort study
Background and aimAlthough artificial intelligence (AI) technologies show promise in diabetes management, real-world evidence supporting AI-driven personalized care remains limited. We developed an AI-powered platform that generates dynamic self-management plans (DSMPs) and enables continuous, whole-process patient monitoring. This study aimed to evaluate its effectiveness in patients with type 2 diabetes mellitus (T2DM).DesignThis was a 12-month, […]
Perspectives on healthcare artificial intelligence policy from health equity professionals: findings from an interview study
IntroductionWhile artificial intelligence tools (AI) can have positive impacts on healthcare, such as by expediting administrative tasks and aiding in clinical decision-making, recent studies have shown that AI-enabled systems can perpetuate biases against medically underserved populations which can exacerbate health disparities.MethodsThis qualitative interview study solicited the perspectives of professionals who work on issues related to […]