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Robotic Assistance in Coordination of Patient Care

Author(s)
Shah, Neel; Golen, Toni; Gombolay, Matthew C.; Yang, Xi; Hayes, Bradley H; Seo, Nicole; Liu, Zixi; Wadhwania, Samir; Yu, Tania W.; Shah, Julie A; ... Show more Show less
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Abstract
We conducted a study to investigate trust in and dependence upon robotic decision support among nurses and doctors on a labor and delivery floor. There is evidence that suggestions provided by embodied agents engender inappropriate degrees of trust and reliance among humans. This concern is a critical barrier that must be addressed before fielding intelligent hospital service robots that take initiative to coordinate patient care. Our experiment was conducted with nurses and physicians, and evaluated the subjects’ levels of trust in and dependence on high- and low-quality recommendations issued by robotic versus computer-based decision support. The support, generated through action-driven learning from expert demonstration, was shown to produce high-quality recommendations that were ac- cepted by nurses and physicians at a compliance rate of 90%. Rates of Type I and Type II errors were comparable between robotic and computer-based decision support. Furthermore, em- bodiment appeared to benefit performance, as indicated by a higher degree of appropriate dependence after the quality of recommendations changed over the course of the experiment. These results support the notion that a robotic assistant may be able to safely and effectively assist in patient care. Finally, we conducted a pilot demonstration in which a robot assisted resource nurses on a labor and delivery floor at a tertiary care center.
Date issued
2016
URI
http://hdl.handle.net/1721.1/114660
Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Journal
Robotics: Science and Systems XII
Publisher
MIT Press
Citation
Gombolay, Matthew et al. “Robotic Assistance in Coordination of Patient Care.” Robotics: Science and Systems XII June 18-22 2016, Ann Arbor, Michigan, USA, MIT Press, 2016
Version: Author's final manuscript
ISBN
9780992374723

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