About the Journal

Digital Health and Clinical Intelligence publishes interdisciplinary research at the intersection of healthcare, digital technologies, data science, and clinical artificial intelligence. The journal focuses on innovations that improve patient outcomes, support clinical decision-making, strengthen health systems, and promote responsible use of intelligent technologies in healthcare.

The journal aims to bridge the gap between technological development and clinical implementation. It welcomes research that demonstrates scientific rigor, clinical value, ethical responsibility, usability, safety, and scalability across diverse healthcare settings.

Aims and Scope

Digital Health and Clinical Intelligence aims to advance research and innovation in digital health, clinical AI, medical informatics, and intelligent healthcare systems. The journal welcomes theoretical, empirical, experimental, computational, clinical, implementation, and policy-relevant studies that contribute to safer, smarter, and more equitable healthcare.

Topics and subjects include, but are not limited to:

  • Digital health technologies and healthcare innovation
  • Clinical artificial intelligence and healthcare AI applications
  • Clinical decision-support systems
  • Medical informatics, health information systems, and healthcare data systems
  • Electronic health records and clinical data analytics
  • Digital diagnostics and predictive healthcare
  • AI-assisted diagnosis, prognosis, and treatment planning
  • Medical imaging systems, computer vision, radiomics, and image analysis
  • Telemedicine, telehealth, virtual care, and remote consultation
  • Mobile health, connected health, and Internet of Medical Things
  • Wearable devices and remote patient monitoring
  • Biomedical sensors, biosensing technologies, and biomedical instrumentation
  • Medical technology, medical devices, and point-of-care technologies
  • Diagnostics and monitoring technologies
  • Personalized medicine and precision health
  • Digital therapeutics and technology-enabled care models
  • Public health intelligence and digital epidemiology
  • Health engineering and healthcare systems engineering
  • Hospital technology systems and smart healthcare infrastructure
  • Healthcare automation and intelligent systems
  • Rehabilitation engineering and assistive technologies
  • Allied health technologies and clinical support innovation
  • Human-centered design, usability, human factors engineering, and patient engagement
  • Patient safety, clinical workflow, and quality improvement
  • Explainable, trustworthy, and responsible AI in healthcare
  • Ethics, privacy, security, and governance of health data
  • Health equity, access, and digital inclusion
  • Clinical validation, translational research, implementation, and evaluation of digital health tools
  • Regulation, policy, and standards for digital health and clinical AI

The journal encourages interdisciplinary, translational, and application-oriented research that demonstrates scientific quality, technological relevance, and practical importance for healthcare delivery and patient care.