Artificial intelligence (AI) is poised to revolutionize healthcare via data-driven solutions to improve patient outcomes. Nurses, the largest healthcare provider sector internationally, are rapidly adopting AI technologies in their everyday work. Existing nursing AI technologies help nurses identify patients at risk, assist in prioritizing nursing care, and improve nursing workflows. On the other hand, AI has the potential to introduce unintended consequences, including racial or other biases or erroneous care recommendations. AI technologies are being increasingly applied to data generated by nurses, and nurses are becoming one of the largest sectors in which AI is used in healthcare. This generates an increasing interest in the safe, ethical and clinically appropriate use of cutting-edge AI technologies in nursing. 

This workshop, organized by the Nursing and Artificial Intelligence Leadership (NAIL) Collaborative, will focus on AI in nursing and provide a platform for discussing recent advances, cutting-edge AI methods, and charting a path forward for nursing AI. These goals will be achieved through a combination of presentation types, including paper presentations, invited talks, panels, demos, and general discussions. Intended workshop participants are individuals involved in developing and applying AI for nursing, including those with clinical (e.g., nursing, medicine), technical (e.g., machine learning, computer/data science) and human factors (e.g., visualization and UI/UX) backgrounds.  AIME participants focusing on using AI technologies based on nursing data or intended to be used by nurses will benefit from this workshop by learning about current AI applications and cutting-edge methods. The workshop will also chart AI research areas that require further development to advance patient outcomes. 

Topics of Interest

• Clinical decision support: development and implementation of nursing clinical decision support systems in clinical practice; 

• Generative AI:  development, implementation and testing of generative AI systems that use unimodal or multi-modal data (e.g., text, audio, video);

• Standardized health terminologies: development, refinement and application of standardized health terminologies to capture nursing data and build nursing AI systems; 

• Machine learning/Data mining/Deep learning: Development and implementation of machine learning/Data mining/Deep learning algorithms focused on improving patient outcomes and decreasing patient risk; 

• Implementation science: development and implementation of nurse-centered AI technologies with special attention to human factors, UI/UX design and workflow integration; 

• Algorithm biases: detecting and eliminating algorithmic biases to improve health equity, including racial and other biases.

• AI ethics and governance: Ethical frameworks, privacy considerations, and governance models for responsible AI implementation in nursing practice. 

• Nursing workflow automation: AI tools for documentation, administrative tasks, and workflow optimization to reduce nursing burden and improve care quality. 

Format

The workshop will include a combination of presentation types, including a keynote address (invited talk), paper presentations, a panel (tentative topic: AI priorities in nursing), a demo (tentative topic: user-friendly natural language processing software for nursing), and a general discussion at closing.

Important Dates

Submission deadline: April 20th, 2025 (via Easychair, link coming soon)

Notification of acceptance: April 27th, 2025

Workshop: June 26th, 2024  

Conference and workshop registration: https://aime25.aimedicine.info/registration/