Aims & Scope

Aims

Health Informatics and Advanced Technologies (HIAT) is an international, peer-reviewed, gold open-access journal dedicated to advancing research at the intersection of health informatics, artificial intelligence, digital health, and emerging technologies. The journal aims to promote the development, evaluation, and application of innovative technologies that support healthcare delivery, clinical decision-making, health management, disease prevention, and patient-centered care.

HIAT welcomes high-quality original research, review articles, technical developments, and forum communications that address methodological advances as well as practical applications in health informatics and technology-enabled healthcare. The journal encourages interdisciplinary collaboration among researchers, healthcare professionals, engineers, computer scientists, data scientists, and other specialists to facilitate the translation of emerging technologies into reliable, effective, and accessible healthcare solutions.

The journal is dedicated to serving as a platform for research on intelligent, connected, data-driven, and technology-enabled healthcare systems. It is published quarterly online by Scilight Press.

Scope

HIAT covers a broad range of research in health informatics and advanced technologies for healthcare, with particular emphasis on the development, integration, evaluation, and application of intelligent and digital solutions. The journal welcomes original research, reviews, and technical developments in, but not limited to, the following areas:

  • Health Informatics: Health information systems, clinical informatics, biomedical informatics, healthcare data management, electronic health records, health information exchange, clinical decision support systems, and health information standards.
  • Artificial Intelligence and Machine Learning: Applications and methodological advances in artificial intelligence, machine learning, deep learning, neural networks, natural language processing, computer vision, intelligent systems, explainable AI, and trustworthy AI for healthcare.
  • Health Data Science and Analytics: Healthcare data mining, predictive modeling, statistical learning, multimodal data analysis, biomedical data analytics, real-world data, health data integration, and data-driven approaches to disease prediction, diagnosis, treatment, and health management.
  • Digital Health and Connected Healthcare: Telemedicine, telehealth, mobile health, digital therapeutics, remote patient monitoring, wearable technologies, connected health systems, Internet of Medical Things (IoMT), and technology-enabled healthcare services.
  • Medical Imaging and Signal Processing: Medical image analysis, biomedical signal processing, image-based diagnosis, multimodal imaging, pattern recognition, computer-aided detection and diagnosis, and AI-assisted interpretation of medical images and physiological signals.
  • Advanced Technologies for Healthcare: Development and application of emerging technologies, including robotics, smart sensors, biosensors, human–machine interfaces, extended reality, digital twins, edge and cloud computing, and other intelligent technologies for healthcare and biomedical applications.
  • Clinical and Healthcare Applications: Technology-enabled approaches to disease screening, diagnosis, prognosis, treatment planning, rehabilitation, personalized and precision healthcare, patient monitoring, healthcare quality, and clinical workflow optimization.
  • Health Systems and Decision Support: Intelligent healthcare management, resource optimization, health service planning, population health analytics, public health informatics, and decision-support technologies for healthcare organizations and systems.
  • Security, Ethics, and Governance: Privacy-preserving technologies, cybersecurity, data security, ethical and responsible use of AI, algorithmic fairness, transparency, regulatory considerations, and governance of digital health and health information systems.
  • Emerging and Interdisciplinary Technologies: Novel computational, sensing, communication, and information technologies with demonstrated or potential applications in healthcare and health informatics.