Nicole Feldmann
Papers
1
Total Citations
3
H-Index
1
About
Nicole Feldmann is a pioneering researcher at the intersection of robotics and medical education, with a primary focus on developing innovative training tools for healthcare professionals. Her key research areas include human-robot interaction, medical simulation, and the application of android technology in clinical training. Feldmann’s major contribution lies in her groundbreaking work using android robot-patients (ARPs) to teach and assess medical staff in the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU), a critical tool for detecting delirium. Her 2023 pilot study, which has garnered 3 citations, demonstrates the feasibility of a two-stage training scenario where an ARP simulates a delirious patient, offering a standardized, repeatable, and risk-free alternative to traditional training methods. This work addresses the time-consuming and complex nature of CAM-ICU education, potentially revolutionizing how medical professionals acquire these essential assessment skills. Feldmann’s research not only advances simulation-based learning but also opens new avenues for using lifelike robots in clinical pedagogy, making her a notable figure in the growing field of medical robotics.
Research Focus
Key Achievements
Top Papers
- 1