At SINI 2025, we are leading the transformation of health care by embracing the power of artificial intelligence (AI) and emerging technologies. More than just a conference, SINI is a vibrant gathering of forward-thinking minds, where innovation meets action. We invite you to join global thought leaders, clinicians, educators, and researchers in revolutionizing how we teach, learn, practice, and discover. Together, we will shape the future of nursing and health care, unlocking new possibilities to overcome challenges and amplify impact across the profession.
RegisterKathleen McGrow, DNP, MS, RN, PMP, FHIMSS, FAAN Chief Nursing Innovation Officer
Microsoft
Empowering Nurses with Artificial Intelligence (AI)
Empowering Nurses with Artificial Intelligence (AI) explores the transformative impact of AI on nursing practice. It covers various aspects of AI, including its definition, types, and applications in healthcare. The presentation emphasizes the role of nurses in AI development and design, highlighting the need for their insights and inclusion in the process. It discusses the benefits of AI in nursing, such as improving patient care, enhancing decision-making, and automating low-value tasks. Additionally, it addresses the challenges and ethical considerations of implementing AI in healthcare. The presentation also explores emerging technologies and the future of AI in nursing, the strategic roadmap for scaling AI technologies and provides a comprehensive overview of how AI can empower nurses and improve healthcare outcomes.
This track delves into the latest advancements in AI and other emerging technologies, examining their impact on nursing practice and research. It explores how these innovations are transforming care delivery and research processes to meet the demands of a rapidly evolving healthcare landscape.
This track emphasizes the importance of intentional and strategic planning for integrating AI and emerging technologies into nursing practice and research. It addresses key topics such as policymaking, regulatory frameworks, governance models, and ethical considerations, ensuring that AI adoption aligns with best practices and institutional values.
This track presents innovative projects that do not fit into tracks A and B.
