Shu‐Lang Liao

Papers

Total Citations

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About

Shu-Lang Liao is a leading researcher in healthcare operations and digital transformation, with a focus on leveraging technology to improve administrative efficiency under 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), examines how hospitals can accurately submit medical expense claims to the National Health Insurance Administration (NHIA), minimizing costly errors and deductions. This research highlights her contributions to integrating lean management principles with automation to streamline complex healthcare workflows. Liao’s work addresses critical challenges in policy compliance and hospital management, offering practical solutions for reducing administrative burdens while maintaining accuracy. Her impact is evident in the growing citation of her study, which serves as a foundational reference for practitioners and scholars exploring RPA in healthcare settings. By bridging operational efficiency and digital innovation, Liao’s research provides actionable insights for healthcare administrators navigating evolving regulatory landscapes, making her a key voice in the intersection of health policy, process improvement, and technology adoption.