Papers
1
Total Citations
37
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About
Jingran Xu is a leading researcher at the intersection of healthcare operations, digital transformation, and lean management. Her work focuses on how emerging technologies, particularly robotic process automation (RPA), can streamline administrative workflows in complex healthcare systems. In her highly cited 2024 study, "A case study of lean digital transformation through robotic process automation in healthcare" (37 citations), Xu provides a groundbreaking analysis of how hospitals operating under Taiwan’s National Health Insurance (NHI) system can leverage RPA to accurately submit medical expense claims, avoiding costly deductions from the National Health Insurance Administration (NHIA). This work is notable for bridging the gap between lean principles and digital automation, offering a practical framework for improving efficiency and compliance in high-stakes healthcare environments. Xu’s research has significant implications for hospital administrators, policymakers, and health IT professionals seeking to reduce errors and operational waste. By demonstrating how RPA can be integrated with lean methodologies, she has established herself as a key voice in the ongoing digital transformation of healthcare administration, with her findings directly informing best practices for medical claim accuracy and institutional financial health.
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