About this Research Topic
This article collection seeks to explore the multifaceted aspects of telehealth and remote monitoring solutions, highlighting the critical role of clinical engineering in their design, implementation, and integration. We invite researchers from diverse fields, including engineering, medicine, informatics, and healthcare administration, to contribute original research, case studies, reviews, and perspectives on telehealth and remote monitoring.
Potential topics of interest include but are not limited to:
Design and Development of Telehealth Platforms: Studies detailing the design considerations, architecture, and engineering principles behind telehealth platforms that enable virtual consultations, remote diagnostics, and patient engagement.
Wearable Devices for Remote Monitoring: Exploration of wearable sensor technologies, physiological monitoring devices, and IoT-enabled wearables that provide continuous health monitoring and data collection for remote patient care.
Clinical Data Integration and Interoperability: Research on strategies to integrate telehealth data with electronic health records (EHRs) and healthcare information systems, ensuring seamless data exchange and comprehensive patient profiles.
Remote Monitoring for Chronic Diseases: Studies demonstrating the use of remote monitoring solutions in managing chronic conditions, such as diabetes, cardiovascular diseases, and respiratory disorders, to improve patient outcomes.
Real-Time Monitoring and Alerts: Exploration of real-time data streaming, analytics, and alert systems that enable healthcare providers to respond promptly to critical changes in patients' health status.
Human-Centered Design and Usability of Telehealth Systems: Focus on user-centered design principles and usability considerations for telehealth platforms, ensuring accessibility and user-friendly experiences for both patients and healthcare professionals.
Telehealth Ethics and Patient Privacy: Research on ethical considerations, patient consent, data security, and privacy measures that safeguard patient information in telehealth interactions.
Integration with AI and Predictive Analytics: Highlighting the integration of AI algorithms and predictive analytics into telehealth solutions for early disease detection, treatment optimization, and personalised care.
Telehealth Adoption and Impact Assessment: Studies evaluating the adoption rates, patient satisfaction, clinical outcomes, and cost-effectiveness of telehealth and remote monitoring interventions.
Original research articles, reviews, case studies, and perspectives that contribute to the understanding and advancement of telehealth and remote monitoring solutions are encouraged. All submissions will undergo a rigorous peer-review process to ensure the quality and significance of the research.
This scientific article collection provides a platform for researchers to share insights and innovations in the field of telehealth and remote monitoring. By showcasing the role of clinical engineering in advancing accessible and effective healthcare delivery, we aim to accelerate the adoption of telehealth solutions that improve patient access, engagement, and outcomes.
Keywords: Telehealth, remote monitoring, clinical engineering, wearable devices, virtual consultations, healthcare delivery.
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.