Collision avoidance path planning for hospital robot with consideration of disabled person's movement characteristic

Fernando, Jeffry Bonar; Tanigawa, Toru; Naito, Eiichi; Yamagami, Katsuyoshi; Ozawa, Jun

doi:10.1109/gcce.2012.6379636

Cited by 7 publications

(2 citation statements)

References 10 publications

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“…Within the context of nursing, robots can reduce the physical strain and injury that nurses experience from lifting patients [54,58] and delivering materials [23]. They can also assist nurses with reception tasks in hospitals (e.g., desk reception) [1].…”

Section: Healthcare Roboticsmentioning

confidence: 99%

“…Our work reveals some of the tasks that healthcare providers feel would be of greatest benefit to teams, which in turn will improve the likelihood that they will accept and utilize robots in these spaces. Furthermore, numerous robots have been successfully integrated into various clinical settings [1,23,32,46,54,58] which motivates the potential for robots to be designed for team settings as well. Our work raises many opportunities to design robots that can work effectively in team settings while addressing social challenges such as reluctance to adopt the robot in team workflow, disruption of the existing workflow, and the possibility of unexpected consequences of robots in these spaces.…”

Section: Socialmentioning

confidence: 99%

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Coordinating Clinical Teams

Taylor

Lee

Kubota

et al. 2019

Proc. ACM Hum.-Comput. Interact.

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Patient safety errors account for over 400,000 preventable deaths annually in US in hospitals alone, 70% of which are caused by team communication breakdowns, stemming from hierarchical structures and asymmetrical power dynamics between physicians, nurses, patients, and others. Nurses are uniquely positioned to identify and prevent these errors, but they are often penalized for speaking up, particularly when physicians are responsible. Nevertheless, empowering nurses and building strong interdisciplinary teams can lead to improved patient safety and outcomes. Thus, our group has been developing a series of intelligent systems that support teaming in safety critical settings, Robot-Centric Team Support System (RoboTSS), and recently developed a group detection and tracking system for collaborative robots. In this paper, we explore how RoboTSS can be used to empower nurses in interprofessional team settings, through a three month long, collaborative design process with nurses across five US-based hospitals. The main findings and contributions of this paper are as follows. First, we found that participants envisioned using a robotic crash cart to guide resuscitation procedures to improve efficiency and reduce errors. Second, nurses discussed how RoboTSS can generate choreography for efficient spatial reconfigurations in co-located clinical teams, which is particularly important in time-sensitive situations such as resuscitation. Third, we found that nurses want to use RoboTSS to "stop the line", and disrupt power dynamics by policing unsafe physician behavior, such as avoiding safety protocols using a robotic crash cart. Fourth, nurses envisioned using our system to support real-time error identification, such as breaking the sterile field, and then communicating those errors to physicians, to relieve them of responsibility. Finally, based on our findings, we propose robot design implications that capture how nurses envision utilizing RoboTSS. We hope this work promotes further exploration in how to design technology to challenge authority in asymmetrical power relationships, particularly in healthcare, as strong teams save lives.

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