Summer Institute in Nursing Informatics

The 34th Summer Institute in Nursing Informatics (SINI) 2025 stands at the forefront of a healthcare revolution, leading the charge in integrating artificial intelligence (AI) and emerging technologies across nursing education, practice, and research. SINI 2025 brings together visionaries, informatics professionals, educators, and clinicians to explore groundbreaking ideas, showcase transformative tools, and develop actionable strategies for the intentional use of AI in nursing. Equipping attendees to lead the next wave of change, SINI 2025 delivers thought-provoking discussions, immersive workshops, and opportunities to earn continuing education (CE) credits. The conference is a catalyst, inspiring participants to lead the transformation of nursing and health care by embracing the power of artificial intelligence (AI) and emerging technologies. Whether you are developing innovative curricula, driving clinical transformation, or conducting cutting-edge research, SINI 2025 offers the tools and connections to amplify your impact and prepare for tomorrow’s challenges.

Objectives: 

1. Assess the impact of AI and emerging technologies on nursing education, practice, and research.
2. Engage experts to discuss strategies for developing competencies in AI and emerging technologies within the nursing workforce, preparing professionals for future roles and responsibilities.
3. Explore shared visions for AI-enhanced nursing education, practice, and research, discovering future possibilities to overcome barriers to technology adoption.

Track 1: Innovative Impact of AI and Emerging Technologies on Nursing Practice and Research

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.

Examples: AI-powered care models for clinical settings and AI platforms that facilitate data-driven research.

Outcomes: Participants will gain a comprehensive understanding of the transformative potential of these technologies, enabling them to assess the opportunities and challenges they present to nursing practice and research.

Track 2: Strategic Planning for the Integration of AI and Emerging Technologies into Nursing Practice and Research

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.

Examples: Developing policies for the ethical use of AI, aligning AI initiatives with organizational strategies, and creating governance frameworks to manage AI's impact effectively.

Outcomes: Participants will explore strategic frameworks and governance models, gaining insights and tools to promote responsible, sustainable, and impactful AI integration within their organizations. 

SINI U: Competencies in AI and Emerging Technologies for Nursing Education

This track focuses on identifying and developing the competencies required to integrate AI and emerging technologies effectively into nursing practice. It provides frameworks and strategies to prepare educators, practitioners, and students for the AI-driven future of healthcare.

Examples: Technology-enhanced teaching tools, competency-based education models, faculty development programs, and practical upskilling strategies to equip clinical practitioners with the skills needed to thrive in AI-enhanced environments.

Outcomes: Attendees will leave with actionable strategies and tools for implementing AI competencies in educational curricula and healthcare settings, fostering a future-ready nursing workforce.