彩票联盟官网-飞艇123官方结果数据+精准中奖预测计划-2026全年历史记录查询 Journal of Medical Internet Research
The leading peer-reviewed journal for digital medicine and health and health care in the internet age. 💯彩票联盟官网飞艇123官方结果数据🚀，精准中奖预测计划，2026全年历史记录查询
Editor-in-Chief:
Gunther Eysenbach, MD, MPH, FACMI, Founding Editor and Publisher; Adjunct Professor, School of Health Information Science, University of Victoria, Canada
Impact Factor 6.0 CiteScore 11.7
Recent Articles
Artificial intelligence (AI)–enabled clinical decision support systems (CDSSs) are increasingly embedded within electronic health record (EHR) environments; however, their introduction can disrupt existing workflows and raise patient safety concerns, particularly in high-stakes settings such as surgical transfusion. Limited qualitative evidence exists regarding how frontline professionals anticipate the clinical, organizational, and workflow implications of such systems before wider deployment.
Health care artificial intelligence (AI) systems are increasingly integrated into clinical workflows, yet remain vulnerable to data-poisoning attacks. A small number of manipulated training samples can compromise AI models used for diagnosis, documentation, and resource allocation. Existing privacy regulations, including the Health Insurance Portability and Accountability Act and the General Data Protection Regulation, may inadvertently complicate anomaly detection and cross-institutional auditing, thereby limiting visibility into adversarial activity.
Developing user-centred digital health hardware requires systematic design methodologies that can be applied across different clinical contexts. Diabetes Mellitus (DM) is a chronic, progressive disease with rising global prevalence, contributing substantially to morbidity, mortality, and healthcare costs. Nutritional management is a cornerstone of DM care, yet long-term adherence to dietary recommendations remains suboptimal. Digital health interventions incorporating Human-centred Design (HCD) methodologies may improve adherence by tailoring solutions to the real needs of patients.
Evaluating implementation of digital health interventions (DHIs) in practice settings is complex, involving diverse users and multistep processes. Proactive planning can ensure implementation determinants and outcomes are captured for hybrid studies, but operational guidance for designing/planning hybrid DHI studies is limited.
Daytime sleepiness is prevalent among adolescents and linked to multiple health and functional impairments. Prior research has identified digital media use and insufficient sleep as key predictors, yet the reciprocal longitudinal associations among screen time, sleep, and daytime sleepiness remain understudied.
The rapid growth of telemedicine offers convenience, flexibility, and accessibility for patients to have health care services worldwide. To succeed in telemedicine, health care practitioners and telemedicine tools must engage patients through effective communication. However, a research gap exists in understanding the communication strategies used in telemedicine and how they effectively engage patients.
During 2024-2025, global emergencies triggered intense online discourse, presenting a unique opportunity to examine how cultural factors shape emotional expression and knowledge dissemination. Understanding these dynamic mechanisms is crucial for enhancing the effectiveness of digital health communication and optimizing crisis response strategies.
Non-adherence to antipsychotic medication remains one of the most significant challenges in the management of schizophrenia, contributing to relapse, rehospitalization, and functional decline. Although psychoeducational interventions are a key intervention for relapse prevention, traditional formats often lack interactivity and cultural resonance, thereby limiting engagement and sustained impact. Digital health innovations offer an opportunity to improve both treatment adherence and user experience, but evidence in schizophrenia populations remains limited.
Preprints Open for Peer Review
Open Peer Review Period:
-
Open Peer Review Period:
-
