About the Journal

ISCSITR - International Journal of Healthcare Analytics (ISCSITR-IJHCA) is an open-access, peer-reviewed publication under the auspices of the International Society for Computer Science and Information Technology Research (ISCSITR). This journal primarily focuses on advancing the integration of analytical methodologies within the healthcare sector, particularly emphasizing the use of computational and information technology to improve patient outcomes, optimize healthcare systems, and support data-driven decision-making.

Aim

The aim of ISCSITR-IJHCA is to bridge the gap between healthcare and computational sciences, providing a platform for innovative research that applies data analytics, artificial intelligence (AI), machine learning (ML), and other computational approaches to address pressing challenges in healthcare. By disseminating open-access content, the journal seeks to facilitate widespread knowledge sharing and support the growth of an international, interdisciplinary community focused on the intersection of healthcare and analytics.

Scope

The journal encompasses a wide range of topics that reflect its commitment to transforming healthcare through technology and analytics. Key areas of interest include but are not limited to:

  1. Healthcare Data Analytics: Research on big data, data mining, and predictive analytics to enhance clinical decision support systems and optimize resource allocation.
  2. Machine Learning and Artificial Intelligence in Healthcare: Studies that apply ML and AI to clinical settings, including diagnosis, treatment recommendation systems, and predictive modeling for patient outcomes.
  3. Healthcare Information Systems: Innovations in electronic health records (EHRs), data interoperability, and health information exchanges that improve data accessibility and usability in clinical and administrative settings.
  4. Clinical Decision Support Systems (CDSS): Exploration of algorithmic models and computational methods that aid healthcare professionals in making accurate, evidence-based decisions.
  5. Bioinformatics and Genomic Data Analysis: Research focused on genetic data interpretation, biomarker discovery, and personalized medicine, using bioinformatics techniques.
  6. Telemedicine and Remote Healthcare Solutions: Analysis of technologies that support remote diagnosis, treatment, and patient monitoring, crucial for reaching underserved populations.
  7. Health Policy and Management Analytics: Application of data analytics to health policy formulation, resource allocation, and the analysis of healthcare economics to drive policy decisions and management strategies.
  8. Patient-Centered Analytics and Outcome Measures: Studies on patient-reported outcomes, quality of life measures, and tools for tracking patient engagement and satisfaction.
  9. Population Health and Epidemiological Analytics: Analytical studies aimed at understanding disease patterns, healthcare disparities, and public health interventions on a large scale.

The journal welcomes submissions from diverse academic and professional backgrounds, including healthcare, computer science, bioinformatics, public health, and information technology. Through rigorous peer review, ISCSITR-IJHCA ensures the quality, relevance, and accuracy of published research, establishing itself as a vital resource for researchers, practitioners, and policymakers aiming to leverage analytics for transformative healthcare solutions.