Kimberly Teo

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About

Kimberly Teo is a pioneering researcher at the intersection of healthcare and robotics, whose work addresses the critical global nursing shortage through the thoughtful integration of assistive technologies. Her primary research areas include human-robot interaction in clinical settings, healthcare automation, and the socio-technical implications of deploying robotic systems in patient care environments. In her landmark mixed-method study, "An Assessment of an Inpatient Robotic Nurse Assistant," Teo conducted the first comprehensive observational evaluation of a robotic nurse assistant (RNA) in a live hospital ward, examining its role in supporting vital signs measurement and medication delivery. This work, which has already garnered 9 citations since its 2024 publication, provides crucial empirical evidence on how robotic systems can alleviate nursing workload while maintaining patient safety and care quality. Teo’s contributions are particularly notable for their methodological rigor, combining quantitative performance metrics with qualitative insights from healthcare professionals, thereby bridging the gap between engineering design and clinical practice. Her research offers a roadmap for the responsible adoption of robotics in healthcare, making her a leading voice in shaping the future of technology-enhanced nursing care.