Shannan K. Hamlin

Papers

Total Citations

H-Index

About

Shannan K. Hamlin is a pioneering researcher at the intersection of healthcare simulation and human-robot interaction (HRI), dedicated to addressing the critical nursing labor shortage through robotic innovation. Her work focuses on developing intelligent robotic tutors that enhance clinical training, particularly for high-stakes procedures prone to preventable errors. Hamlin’s most influential paper, "Robotic Tutors for Nurse Training: Opportunities for HRI Researchers" (2023), establishes a foundational framework for integrating social robots into nursing education, highlighting how automation can alleviate the burden of frequent, complex assessments on hospital staff. Her subsequent work, "ASTRID: A Robotic Tutor for Nurse Training to Reduce Healthcare-Associated Infections" (2025), introduces a concrete system designed to guide nurses through central line dressing changes—a life-critical procedure where errors can lead to severe infections. By combining robotics with pedagogical strategies, Hamlin’s research directly targets the reduction of healthcare-associated infections while improving procedural competency. Though early in her career, her contributions are already shaping a new paradigm in medical training, offering scalable solutions to workforce challenges. Hamlin’s work stands out for its practical impact, merging engineering and healthcare to create safer, more efficient learning environments for nurses worldwide.