Qiaohong Yang
Papers
1
Total Citations
23
H-Index
1
About
Qiaohong Yang is a nursing education researcher whose work centers on integrating artificial intelligence into clinical training, with a particular focus on chatbot-assisted instruction for history-taking. Her most-cited study, a qualitative needs assessment published in 2023, used focus group interviews to explore how nursing students perceive chatbot tools for mastering comprehensive health history-taking—a skill critical for identifying appropriate interventions and care priorities. This work, which has garnered 23 citations, reveals that students find history-taking challenging and see chatbots as a promising, interactive solution for practice. Yang’s research directly addresses a gap in nursing pedagogy by advocating for technology-enhanced, student-centered learning. Her contributions highlight the potential of AI to bridge the gap between theoretical knowledge and clinical competence, offering scalable, low-stakes training environments. By centering student voices, Yang’s work not only advances educational methodology but also informs the design of future digital health curricula, making her a key voice in the intersection of nursing education and health technology innovation.
Research Focus
Key Achievements
Top Papers
- 1