Nicholas Arfanis

Binghamton University

Papers

1

Total Citations

5

H-Index

1

About

Nicholas Arfanis is a researcher at the intersection of human-centered artificial intelligence, robotics, and patient safety in healthcare. His primary focus is on developing AI and robotic systems that reduce hospital falls—a critical issue that leads to patient injuries, extended hospital stays, and increased healthcare costs. Arfanis’s most-cited work, "Towards human-centered AI and robotics to reduce hospital falls: finding opportunities to enhance patient-nurse interactions during toileting" (2024, 5 citations), identifies the high-risk context of toileting-related falls and proposes technological interventions that augment, rather than replace, the essential human touch in patient-nurse interactions. By emphasizing a human-centered design approach, his research aims to create assistive systems that seamlessly integrate into clinical workflows, improving safety without compromising compassionate care. Though his citation count is still growing, Arfanis’s work is notable for its timely focus on a pressing healthcare challenge and its commitment to ethical, collaborative human-robot interaction. His contributions are paving the way for safer hospitals and more dignified patient experiences, making him a promising voice in the field of healthcare robotics and AI.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Towards human-centered AI and robotics to reduce hospital falls: finding opportunities to enhance patient-nurse interactions during toileting
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Binghamton University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago