Papers
2
Total Citations
43
H-Index
2
About
Wei-Sho Ho is a leading researcher at the intersection of healthcare operations, digital transformation, and AI-enhanced education. His work primarily focuses on optimizing administrative processes under Taiwan’s National Health Insurance (NHI) system, where he has pioneered the application of lean digital transformation through robotic process automation (RPA). His landmark 2024 case study, with 37 citations, demonstrates how healthcare providers can accurately submit medical expense claims to the National Health Insurance Administration (NHIA), preventing costly incorrect deductions amid evolving policies. This contribution directly addresses a critical operational pain point in one of the world’s most comprehensive single-payer healthcare systems. More recently, Ho has expanded into AI in education, integrating motivation theory into AIED curricula for technical education. His 2025 study (6 citations) explores how curriculum design enhances learning outcomes and the intention to continue AI learning, while examining computer self-efficacy as a key moderating variable. By bridging healthcare administration and educational technology, Ho’s work offers practical, theory-driven solutions for complex systems—making him a valuable voice for students and researchers interested in applied AI, process optimization, and the human factors shaping technological adoption.
Research Focus
Key Achievements
Top Papers
- 1
- 2