Dillon J. Dzikowicz PhD, RN, PCCN , Mehmed Aktas , Jinjiao Wang PhD, RN , Caitlin Dreisbach PhD, RN
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引用次数: 0
Abstract
Background
The integration of artificial intelligence (AI) in nursing research holds significant potential. However, AI's development and deployment remains a crucial area of research.
Purpose
This study aims to evaluate the type (e.g., R01, R21, and K08), topic, and cost of National Institutes of Health (NIH)-funded grants focusing on AI in nursing science from 2013 to 2023.
Methods
Using the RePORTER database, we identified NIH-funded grants with keywords related to nursing and AI from 2013 to 2023. We used topic modeling on the project abstracts to uncover key themes.
Discussion
We identified 370 NIH-funded AI and nursing-related grants, a 1,160% increase over time. Most NINR-funded projects were training-focused. Key themes included cognitive decline, inpatient predictive analytics, and chronic disease self-management.
Conclusion
While AI-related funding is growing, nurse-led projects remain limited, highlighting the need for expanded nursing leadership in AI research. Strategic efforts are essential to support nurse scientists in shaping the future of AI-integrated nursing science.
期刊介绍:
Nursing Outlook, a bimonthly journal, provides innovative ideas for nursing leaders through peer-reviewed articles and timely reports. Each issue examines current issues and trends in nursing practice, education, and research, offering progressive solutions to the challenges facing the profession. Nursing Outlook is the official journal of the American Academy of Nursing and the Council for the Advancement of Nursing Science and supports their mission to serve the public and the nursing profession by advancing health policy and practice through the generation, synthesis, and dissemination of nursing knowledge. The journal is included in MEDLINE, CINAHL and the Journal Citation Reports published by Clarivate Analytics.