Zhijie Tan
Papers
1
Total Citations
7
H-Index
1
About
Zhijie Tan is a researcher at the forefront of intelligent healthcare systems, specializing in the integration of machine learning, wearable sensor technology, and autonomous medical transport. Their most-cited work, “Application of a Machine Learning Algorithms in a Wrist-Wearable Sensor for Patient Health Monitoring during Autonomous Hospital Bed Transport” (2021), tackles a critical bottleneck in clinical workflow: the need for continuous, hands-free patient monitoring during inter-ward transfers. By coupling AI-enabled remote automated monitoring with smart wrist-worn sensors, Tan’s research demonstrates how machine learning algorithms can reliably track vital signs, freeing nurses from bedside supervision and enabling safer, more efficient autonomous hospital bed navigation. This contribution, with 7 citations, addresses the growing demand for automation in healthcare logistics while prioritizing patient safety. Tan’s work sits at the intersection of biomedical engineering and applied AI, offering practical solutions for reducing clinician burden and improving hospital throughput. Their research has implications for the next generation of smart hospitals, where autonomous systems and wearable health monitors work in concert to deliver continuous, data-driven care.
Research Focus
Key Achievements
Top Papers
- 1