Hannah Rafferty

Binghamton University

Papers

1

Total Citations

5

H-Index

1

About

Dr. Hannah Rafferty is a pioneering researcher at the intersection of human-centered artificial intelligence, robotics, and patient safety in healthcare. Her work focuses on developing intelligent systems that enhance clinical workflows and reduce preventable harms, particularly for hospitalized patients. Her most cited paper, "Towards human-centered AI and robotics to reduce hospital falls: finding opportunities to enhance patient-nurse interactions during toileting" (2024, 5 citations), addresses a critical and often overlooked context for inpatient falls: toileting. By analyzing patient-nurse interactions, Rafferty identifies design opportunities for AI and robotic systems that can support safer mobility assistance without replacing human care. This work exemplifies her broader contributions to creating assistive technologies that respect the dignity and autonomy of vulnerable patients. Though early in her career, Rafferty’s research has already shaped conversations around ethical AI deployment in clinical settings. Her interdisciplinary approach—bridging nursing, engineering, and human-computer interaction—positions her as a rising leader in patient-centered health technology, with future work poised to transform how hospitals integrate robotics into daily care routines.

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 · 12 days ago