Christian Buhtz
Papers
3
Total Citations
36
H-Index
3
About
Christian Buhtz is a leading researcher at the intersection of healthcare robotics, human-computer interaction, and nursing education. His work focuses on the critical challenge of integrating digital and assistive technologies (DAT) into clinical and home-care settings. Buhtz’s major contributions include pioneering studies on patient acceptance of humanoid robots in radiology, most notably a randomized controlled trial demonstrating that a robot could effectively deliver pre-MRI information with comparable knowledge transfer to a tablet computer. This work, with 10 citations, is foundational for understanding patient-robot interaction in high-stress medical environments. His most cited paper (19 citations) is a scoping review on robotic systems for home-based nursing care, establishing a key framework for the field. Additionally, his qualitative research on training measures for nursing professionals (7 citations) provides a structured guideline for introducing DAT into care processes, addressing a critical gap in implementation science. Buhtz’s work is notable for its practical focus on usability, acceptance, and knowledge transfer, directly informing how technology can be ethically and effectively deployed to support both patients and caregivers.
Research Focus
Key Achievements
Top Papers
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