You Yuan
Biographic Data
| ID | 8275486 |
|---|---|
| NAME | You Yuan |
| GIVEN NAMES | You |
| FAMILY NAME | Yuan |
| SIGNATURE | YUAN Y |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Profiling and outcomes of medically indigent patients in Southwest China
To understand the characteristics, disease spectrum, clinical outcomes, arrears, and discharge placement conditions of “Medically Indigent Patients (MIPs),” this study aims to provide empirical evidence for administrative departments and hospitals to implement targeted interventions and help alleviate the plight of MIPs. The retrospective study analyzed electronic records and financial data of MIPs admitted to the Affiliated Hospital of Zunyi Med…
The strengths, weaknesses, opportunities, and threats of generative artificial intelligence
Background: While Generative Artificial Intelligence (Gen AI) is increasingly applied in nursing education, research on undergraduates' perceptions, experiences, and impacts remains limited. Objective: This study aims to explore undergraduate nursing students' perceptions of the strengths, weaknesses, opportunities, and threats (SWOT) associated with Gen AI through qualitative research methods. Methods: Using the SWOT analysis framework as the th…
The current status, knowledge, attitudes, and challenges of generative artificial intelligence use among undergraduate nursing students
Background: Generative artificial intelligence (Gen AI) is rapidly permeating the fields of education and healthcare, with increasing impact on nursing education. Understanding nursing students' acceptance of Gen AI and the challenges they face is essential for optimizing future curriculum design. Objective: This study aimed to assess the current usage, knowledge level, attitudes, and perceived challenges of Gen AI among undergraduate nursing stu…
No prominent works on this page.
The strengths, weaknesses, opportunities, and threats of generative artificial intelligence
Background: While Generative Artificial Intelligence (Gen AI) is increasingly applied in nursing education, research on undergraduates' perceptions, experiences, and impacts remains limited. Objective: This study aims to explore undergraduate nursing students' perceptions of the strengths, weaknesses, opportunities, and threats (SWOT) associated with Gen AI through qualitative research methods. Methods: Using the SWOT analysis framework as the th…
The current status, knowledge, attitudes, and challenges of generative artificial intelligence use among undergraduate nursing students
Background: Generative artificial intelligence (Gen AI) is rapidly permeating the fields of education and healthcare, with increasing impact on nursing education. Understanding nursing students' acceptance of Gen AI and the challenges they face is essential for optimizing future curriculum design. Objective: This study aimed to assess the current usage, knowledge level, attitudes, and perceived challenges of Gen AI among undergraduate nursing stu…
Profiling and outcomes of medically indigent patients in Southwest China
To understand the characteristics, disease spectrum, clinical outcomes, arrears, and discharge placement conditions of “Medically Indigent Patients (MIPs),” this study aims to provide empirical evidence for administrative departments and hospitals to implement targeted interventions and help alleviate the plight of MIPs. The retrospective study analyzed electronic records and financial data of MIPs admitted to the Affiliated Hospital of Zunyi Med…
AI in Service Interactions (2 works) · Artificial Intelligence in Healthcare and Education (2 works) · Generative grammar (2 works) · Psychological intervention (2 works) · Simulation-Based Education in Healthcare (2 works) · Arrears (1 work) · Artificial Intelligence (1 work) · China (1 work) · Computer Science (1 work) · Data science (1 work)