Health professionals are increasingly expected to use, teach, and share information in environments where some content may be generated or influenced by artificial intelligence (AI) rather than written directly by a person. Yet many nurses and healthcare-related professionals have received little preparation on how these systems work or how to evaluate their reliability. This webinar introduces practical AI literacy using the N.U.R.S.E.S. AI Literacy Framework, a nursing-centered approach for understanding and responsibly using generative AI. Participants will learn why AI responses can sound confident even when inaccurate and how to apply professional judgment to verify information, support evidence-informed practice, and maintain patient safety.
Speaker Information
Dr. Steph Hoelscher is a Professor and MSN Informatics Program Director at Texas Tech University Health Sciences Center. With nearly three decades of experience spanning oncology, trauma, and informatics, she now focuses on advancing digital health and intelligent systems strategies that improve frontline practice and patient outcomes. She is the creator of the N.U.R.S.E.S. AI Literacy Framework, which offers clinicians a clear, practical, and ethical pathway for integrating artificial intelligence into healthcare.
A board-certified informaticist, HIMSS Fellow, and certified AI management and prompt-engineering professional, Dr. Hoelscher leads initiatives to enhance AI readiness, optimize EHR workflows, reduce clinical burden, and develop usable digital tools for nurses and healthcare teams. Her scholarship includes contributions to the CPHIMS Review Guide and The Nature of Pandemics, as well as a growing portfolio of publications on AI literacy and ethics.
Her service includes AI advisor to EBSCO, a member of the HIMSS Nursing Informatics Committee, and a member of the AMIA AI Board task force. Dedicated to responsible innovation, she works to ensure that emerging technologies strengthen patient care, elevate clinical practice, and uphold the highest ethical and safety standards.
This class is for educational and informational purposes in alignment with NNLM goals and does not offer medical advice.
By registering for this class, you are agreeing to the NNLM Code of Conduct
- Describe how generative AI tools create responses and identify common risks such as confident inaccuracies, fabricated references, and bias.
- Recognize situations in clinical practice, education, and information searching where AI-generated content may appear and require additional verification.
- Use a nursing-informed approach to evaluate and responsibly apply AI-supported information while maintaining professional judgment and patient safety.