Hsueh-Ling Huang
Papers
1
Total Citations
37
H-Index
1
About
Hsueh-Ling Huang is a leading researcher at the intersection of healthcare operations and digital transformation, with a particular focus on Taiwan’s National Health Insurance (NHI) system. Her most-cited work, a 2024 case study on lean digital transformation through robotic process automation (RPA) in healthcare (37 citations), addresses a critical operational challenge: ensuring accurate medical expense claims to the National Health Insurance Administration (NHIA) to prevent costly deductions. Huang’s major contribution lies in demonstrating how RPA can streamline administrative workflows, reduce human error, and enhance compliance amid evolving healthcare policies and hospital management practices. By integrating lean principles with automation, she provides a replicable framework for healthcare providers to improve efficiency and financial accuracy. Her research has significant practical impact, offering actionable solutions for hospitals navigating complex reimbursement systems. Huang’s work is essential reading for scholars and practitioners in health informatics, operations management, and public health policy, highlighting the transformative potential of digital tools in resource-constrained healthcare environments.
Research Focus
Key Achievements
Top Papers
- 1