Scientific Sessions

Nursing Informatics & Data Science

This session highlights the growing importance of nursing informatics and data science in shaping efficient, safe, and technology-driven healthcare systems. As digital transformation accelerates, nurses are increasingly leveraging informatics tools and data analytics to enhance clinical decision-making, streamline workflows, and improve patient outcomes. Key topics include electronic health records (EHR) optimization, clinical decision-support systems, data collection and validation, predictive analytics, big data applications in nursing, interoperability, and the integration of AI and machine learning in care delivery. The session will also explore data governance, ethical considerations, privacy and security standards, and the nurse’s role in designing and evaluating digital health solutions. Participants will gain practical insights into interpreting clinical data, contributing to informatics projects, and using data-driven strategies to support evidence-based practice, quality improvement, and organizational innovation. Real-world examples will illustrate how data science empowers nurses to lead digital initiatives and transform healthcare delivery.