The Health Informatics and AI (HIAI) is a peer-reviewed, interdisciplinary forum dedicated to advancing research and innovation at the intersection of healthcare, informatics, and artificial intelligence (AI). The journal aims to publish high-quality original research, reviews, and case studies that demonstrate the transformative potential of AI-driven technologies in improving healthcare delivery, patient outcomes, and health systems efficiency.

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Aims

Health Informatics and AI (HIAI) is a peer-reviewed, interdisciplinary journal committed to advancing the integration of informatics principles, data science methodologies, and artificial intelligence (AI) technologies in healthcare and public health contexts. As digital transformation reshapes clinical workflows, patient care delivery, population health management, and medical research—addressing critical needs such as data-driven decision-making, personalized medicine, efficient healthcare operations, and equitable access to health services—this journal serves as a platform for cutting-edge research on the intersection of health informatics innovations, AI advancements, and real-world health challenges. It focuses on bridging technical expertise with clinical/population health priorities, promoting evidence-based development and deployment of health informatics and AI tools, and fostering collaboration among researchers, clinicians, technologists, and policymakers to create scalable, ethical, and patient-centered solutions that improve health outcomes globally.

Scopes

The journal covers interdisciplinary research at the intersection of healthcare, informatics, and AI, including but not limited to the following core areas:

• AI for Healthcare Data Processing and Analysis:Technologies for standardization and structuring of healthcare data, AI-driven healthcare data mining, Privacy protection and security technologies for healthcare big data
• Applications of AI in Clinical Diagnosis, Treatment, and Decision Support:Auxiliary diagnostic systems, Clinical decision support tools, Optimization of clinical workflows
• Integrative Innovation of Healthcare Informatics and AI: AI integration in health information systems, AI applications in mobile health (mHealth) and wearable devices, Construction and application of medical knowledge graphs
• AI Empowerment for Healthcare Systems and Public Health: Optimization of healthcare resource allocation, Public health monitoring and emergency response, Healthcare quality assessment and improvement
• Methodologies and Case Studies in Interdisciplinary Fields: Development of new AI algorithms/models for healthcare, Innovation in interdisciplinary research methods, Real-world case studies

Article Processing Charges

As an open-access journal, all articles published in Health Informatics and AI are accessible electronically from the journal website without the need for subscription fees or other forms of payment from the readers. An Article Processing Charge (APC) is applicable to papers accepted after peer review. The APC is intended to cover the underlying costs of article processing, such as peer-review, copy-editing, typesetting, publishing, content depositing and archiving processes.
There are no charges for rejected articles, no submission charges, and no surcharges based on the length of an article, figures or supplementary data. Some items (Editorials, Corrections, Addendums, Retractions, Comments, etc.) are published free of charge.

 

Journal Title	APC(USD)
Health Informatics and AI	$400