Bojan Musil
Papers
3
Total Citations
25
H-Index
2
About
Bojan Musil is a pioneering researcher at the intersection of healthcare, robotics, and artificial intelligence, with a primary focus on integrating socially assistive humanoid robots and clinical decision support systems (CDSS) into nursing and surgical care. His work addresses critical challenges in modern healthcare, including workforce shortages, staff burnout, and patient engagement. Musil’s major contributions include developing and evaluating interactive digital assistants and robotic platforms that enhance pre- and post-operative care, as demonstrated in his randomized controlled trial on grand rounds integration. His most-cited paper, “Using Structural Equation Modeling to Explore Patients’ and Healthcare Professionals’ Expectations and Attitudes Towards Socially Assistive Humanoid Robots in Nursing and Care Routine” (2023, 16 citations), provides foundational insights into stakeholder acceptance of robotic care. Another key study (2022, 7 citations) examines the impact of combining CDSS with humanoid robots on surgical patient outcomes. Musil’s work is notable for its rigorous mixed-methods approach, combining quantitative modeling with qualitative user experience analysis. His research has direct implications for improving care quality, reducing staff workload, and shaping the future of technology-assisted healthcare delivery.
Research Focus
Key Achievements
Top Papers
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