Advancing Healthcare Through Nursing Knowledge, Data, and Artificial Intelligence
The Center for Artificial Intelligence (AI) and Nursing Informatics at the University of Minnesota advances the future of healthcare through nursing science, artificial intelligence, informatics, and digital innovation. Building on decades of international leadership in nursing informatics, nursing knowledge representation, and interoperability, the Center serves as a collaborative hub for research, education, workforce development, and real-world innovation.
The Center brings together nationally recognized expertise in artificial intelligence, nursing informatics, digital health, implementation science, nursing knowledge science, interoperability, and big data science to advance AI-ready data infrastructure, accelerate responsible AI adoption, and improve healthcare systems and the health of individuals, families, communities, populations, and the planet.
The Center is home to unique flagship initiatives that advance nursing knowledge and digital innovation: the globally recognized Omaha System Partnership, the United States' only International Classification for Nursing Practice (ICNP) Research and Development Center, and the Nursing Knowledge Big Data Science Initiative. Together, these initiatives advance standardized nursing knowledge, interoperability, AI-ready data, and learning health systems while strengthening the role of nursing in the future of artificial intelligence and digital health.
Through these initiatives and interdisciplinary collaborations across healthcare, academia, industry, government, and community partners, the Center accelerates research, education, workforce development, and innovation that transforms healthcare systems and improves health outcomes.
Vision
To advance health for individuals, communities, populations, and the planet by transforming healthcare through nursing knowledge, artificial intelligence, informatics, and digital innovation.
Mission
To advance nursing and interdisciplinary research, education, workforce development, and partnerships that strengthen nursing knowledge, accelerate responsible AI and digital health innovation, and prepare the healthcare workforce to lead in an AI-enabled future.
Signature Areas of Excellence
- Artificial Intelligence and Digital Health
Human-centered AI, generative AI, predictive analytics, clinical decision support, digital health technologies, implementation science, and responsible AI. - Nursing Informatics and Digital Transformation
Clinical information systems, workflow redesign, usability, human factors, implementation science, and digital transformation across healthcare. - Nursing Knowledge Science
Nursing knowledge representation, computable knowledge, standardized terminologies, common data elements, knowledge models, and AI-ready nursing knowledge. - Omaha System Partnership
Global leadership in advancing the Omaha System through clinical practice, education, research, implementation, and interoperability. - International Classification for Nursing Practice (ICNP) Research and Development Center
Home to the only ICNP Research and Development Center in the United States, advancing international nursing terminology, knowledge representation, interoperability, and standards-based nursing knowledge. - Interoperability and AI-Ready Data Infrastructure
HL7 FHIR, SNOMED CT, LOINC, OMOP Common Data Model, terminology mapping, semantic interoperability, and reusable health data infrastructure. - Nursing Knowledge Big Data Science Initiative
Advancing nursing-sensitive data, AI-ready datasets, common data models, learning health systems, national and international collaborations, and the annual Nursing Knowledge Big Data Science Conference. - Leadership and Workforce Development
AI literacy, nursing informatics education, faculty development, executive leadership, continuing professional education, workforce transformation, mentorship, and interdisciplinary training.
Strategic Priorities
- Advance interdisciplinary research in AI, nursing informatics, digital health, implementation science, and nursing knowledge science.
- Strengthen standardized nursing knowledge and interoperable, AI-ready data infrastructure.
- Lead the ethical, equitable, and human-centered integration of AI into health and healthcare.
- Expand education and workforce development to prepare nurses and health care professionals for AI-enabled practice and leadership.
- Foster local, national, and global partnerships that accelerate innovation, improve health outcomes, and advance health equity.
News
The Doctor of Nursing Practice (DNP) nursing informatics specialty at the University of Minnesota received accreditation from the Commission on Accreditation for Health Informatics and Information Management Education (CAHIIM). It is the first program of its kind in the country to receive this prestigious designation.
