Sheng-Chieh Lu

University of Minnesota

Papers

1

Total Citations

9

H-Index

1

About

Sheng-Chieh Lu is a nursing informatics researcher whose work bridges artificial intelligence, integrative health, and evidence-based nursing practice. His most-cited scoping review, "Informatics and Artificial Intelligence Approaches that Promote Use of Integrative Health Therapies in Nursing Practice" (2020, 9 citations), systematically examined how AI and informatics tools can overcome persistent barriers preventing nurses from offering integrative health therapies—such as acupuncture, mindfulness, and herbal medicine—to patients. Lu’s major contribution lies in identifying and mapping the potential of decision support systems, predictive analytics, and natural language processing to empower nurses in clinical settings. By synthesizing fragmented evidence, he has provided a foundational framework for developing technology-driven interventions that enhance patient-centered care. Though early in his career, Lu’s work signals a critical shift toward leveraging computational methods to democratize access to holistic therapies within mainstream nursing. His research holds particular significance for healthcare systems seeking to integrate non-pharmacological pain management and wellness approaches, positioning him as an emerging voice at the intersection of nursing practice, informatics, and integrative medicine.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Informatics and Artificial Intelligence Approaches that Promote Use of Integrative Health Therapies in Nursing Practice: A Scoping Review
9 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Minnesota

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago