Vol. 1 No. 2 (2027): Digitized Health
Digitized Health is dedicated to the open dissemination of healthcare technologies, digital medical systems, tele-health innovations, and applied clinical technologies. This issue publishes technical reports, instructional manuals, software and device documentation, implementation guides, educational resources, applied healthcare studies, and open-access scientific contributions that support the practical advancement of digital health systems and modern healthcare delivery.
The issue focuses on the development, application, operation, and evaluation of technologies that improve healthcare accessibility, efficiency, monitoring, diagnostics, and patient care. Particular emphasis is placed on tele-health systems, biomedical devices, wearable technologies, healthcare software platforms, mobile health applications, smart diagnostic tools, and AI-assisted healthcare solutions suitable for clinical, educational, and community environments.
Submissions are expected to provide clear technical descriptions, implementation methodologies, operational procedures, validation results, user guidance, or educational content that assists healthcare professionals, researchers, educators, developers, students, and technology users in understanding and applying digital health technologies in practical settings.
Key thematic areas include:
-
Tele-Health and Digital Clinical Systems: remote patient monitoring, virtual healthcare services, mobile diagnostics, telemedicine platforms, and clinical decision-support systems
-
Biomedical Engineering and Health Devices: biosensors, wearable technologies, medical instrumentation, signal-processing systems, and optical or laser-based healthcare devices
-
Public Health Informatics and Digital Health Management: health information systems, digital epidemiology, healthcare analytics, surveillance systems, and population health technologies
-
Healthcare Software and Workflow Technologies: electronic health systems, clinical workflow optimisation, medical software validation, healthcare automation, and digital record management
-
Artificial Intelligence and Data-Driven Healthcare: machine-learning applications, predictive healthcare analytics, intelligent diagnostic systems, and automated clinical-support technologies
-
Health Education and Digital Learning Resources: healthcare training platforms, instructional materials, simulation-based learning, and educational technology applications for healthcare environments
All submissions undergo a structured hybrid review process combining expert human evaluation with AI-assisted assessment to support technical accuracy, methodological consistency, clarity, and reproducibility. Authors are encouraged to provide sufficient technical detail, operational procedures, implementation guidance, datasets, demonstrations, or validation information to facilitate understanding and practical application.
Multimedia materials such as tele-health demonstrations, software tutorials, device-operation recordings, instructional videos, healthcare workflow demonstrations, simulation outputs, and interactive medical visualisations may be included where they enhance technical clarity and educational value.
As a fully open-access issue, all accepted content is made freely available online to support global knowledge sharing, healthcare education, technology transfer, professional training, and innovation in digital health and biomedical technologies.
