About the Journal
Journal of Healthcare Data Science and AI (JHDSA) - Journal Description:
The Journal of Healthcare Data Science and AI (JHDSA) is a cutting-edge publication dedicated to the intersection of healthcare, data science, and artificial intelligence (AI). JHDSA provides a premier platform for researchers, practitioners, and policymakers to disseminate innovative research findings, methodologies, and applications that leverage data science and AI to address key challenges and opportunities in healthcare.
Mission: JHDSA aims to advance the science and practice of healthcare data analytics, artificial intelligence, and machine learning. The journal seeks to promote interdisciplinary collaborations, foster innovation, and facilitate the translation of data-driven insights into actionable strategies for improving patient outcomes, healthcare delivery, and population health.
Scope: JHDSA covers a broad range of topics related to healthcare data science and AI, including but not limited to:
- Big data analytics in healthcare
- Predictive modeling and machine learning algorithms
- Clinical decision support systems
- Electronic health records and health informatics
- Healthcare data privacy and security
- Patient-centered outcomes research
- Population health management
- Healthcare operations optimization
Publication Types: JHDSA publishes original research articles, review articles, case studies, and application notes, providing a comprehensive overview of the latest advancements and trends in healthcare data science and AI. The journal also welcomes perspectives, opinion pieces, and industry insights on emerging issues and opportunities in the field.
Audience: JHDSA caters to a diverse audience, including researchers and academics in data science, AI, and healthcare informatics, healthcare professionals and clinicians, industry professionals in healthcare IT and analytics, policymakers and regulators, students, and educators interested in healthcare data science and AI applications.
