Chingszu Lin
Papers
8
Total Citations
89
H-Index
6
About
Chingszu Lin is a pioneering researcher at the intersection of robotics and nursing education, whose work focuses on developing robotic patient simulators to enhance clinical training. Their major contribution lies in designing and validating robot patients that realistically mimic diverse patient conditions—including paralysis, pain sensitivity, and mobility impairments—to help nursing students practice patient transfer skills. Lin’s most cited paper (29 citations) demonstrates the impact of using a robot patient for nursing skill training, showing significant improvements over traditional simulation methods. Their research has produced a series of validated evaluation systems that measure translational acceleration, rotational speed, and joint angles to distinguish correct from incorrect transfer techniques. Notably, Lin’s robot patient can reproduce sit-to-stand movements and provide objective feedback on skill application. With cumulative citations exceeding 80 across their publications, Lin’s work addresses critical gaps in nursing education by offering safe, repeatable, and realistic practice opportunities. Their innovative approach has the potential to transform how future nurses acquire essential patient-handling skills, ultimately improving patient safety and care quality.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robot Patient Design to Simulate Various Patients for Transfer Training16 citations · 2017
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- 7The Effects of the Robot Patient’s Patient-Likeness on Nursing Students3 citations · 2017
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