C. Quintero-Peña, P. Qian, N. Fontenot, H.-M. Chen, S. Hamlin, L. Kavraki, and V. Unhelkar, “Robotic Tutors for Nurse Training: Opportunities for HRI Researchers,” in 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2023, pp. 220–225.
An ongoing nurse labor shortage has the potential to impact patient care well-being in the entire healthcare system. Moreover, more complex and sophisticated nursing care is required today for patients in hospitals forcing hospital-based nurses to carry out frequent training and assessment procedures, both to onboard new nurses and to validate skills of existing staff that guarantees best practices and safety. In this paper we recognize an opportunity for the development and integration of intelligent robot tutoring technology into nursing education to tackle the growing challenges of nurse deficit. To this end, we identify specific research problems in the area of human-robot interaction that will need to be addressed to enable robot tutors for nurse training.
Publisher: http://dx.doi.org/10.1109/RO-MAN57019.2023.10309573
PDF preprint: http://kavrakilab.org/publications/quintero2023-robotic-nurse.pdf