Awards Nomination 15+ Million Readerbase Google Scholar citation report

Indexed In

Open J Gate Genamics JournalSeek RefSeek Hamdard University EBSCO A-Z OCLC- WorldCat Publons Geneva Foundation for Medical Education and Research Euro Pub Google Scholar

Journal Flyer

Journal Highlights

Artificial Intelligence in Medicine
Digital Health Innovations
Precision and Personalized Medicine
Healthcare Automation and Robotics
Health Data Science and Informatics
Interdisciplinary Focus
Ethical and Regulatory Insights
Clinical Applications
Global Health Perspectives
Future Trends in Digital Medicine

Useful Links

Editor-in-Chief

Editorial Board

Instructions for Authors

Publication ethics & malpractice statement

Submit Manuscript

Aims and Scope

Articles in process

Recommended Journals

Journal of Mental Health and Psychiatry Journal of Cardiology Journal of Pediatrics Neonatal Biology Journal of Endocrinology Journal of Women Health Journal of Medical Intelligence and Digital Health

Share this page

Open Access Journals

Journal of Mental Health and Psychiatry Journal of Cancer Chemotherapy Journal of Pediatrics Neonatal Biology Journal of Women Health Journal of Drug Discovery and Research Journal of Genetics and Molecular Biology Journal of Dental Sciences Journal of Bacteriology Parasitology Journal of Biology and Medicine Journal of Fermentation Technology Journal of Plant Pathology Journal of Stem cell Research and Therapy Journal of Medical Intelligence and Digital Health

Health Data Science and Informatics

Health Data Science & Informatics centers on transforming raw health data into meaningful insights that inform clinical decisions and healthcare strategies. Topics of interest include predictive modeling, real-time analytics, population health informatics, and AI-driven diagnostics. The journal prioritizes research that demonstrates innovation in data architecture, interoperability, and data-driven care optimization. Studies involving longitudinal data, decentralized data sharing, or explainable AI are particularly encouraged. This section promotes rigorous, replicable, and ethical use of data to improve patient outcomes, system efficiency, and public health planning.