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Towards Surgical Robots
- Source :
- OZCHI
- Publication Year :
- 2019
- Publisher :
- ACM, 2019.
-
Abstract
- Knee arthroscopy is a very common elective surgery, which is performed globally. Research has stated that there are currently several issues surrounding this surgery which reveal surgeons are frustrated with their instruments, cause unintended damage, and have high levels of cognitive and physical demands. The aim of this research is to explore in greater detail what is actually occurring during surgery and gain insights from the knee surgeons to illuminate the current frailties entangled with knee arthroscopy. This research consists of a field study observing four consultant orthopaedic knee surgeons performing knee arthroscopies, of which a total of 15 surgeries were video-recorded. Cards were created based on the analysis of the videos, which were then used to prompt further reflection in interviews with two of the four knee surgeons. From this study we endeavour to explore how knee surgeons currently employ instruments during knee surgery and the challenges that they experience. Our findings focus on a surgeon's perspective on the following challenges: (1) instrument limitations, (2) limited visibility, and (3) physical and cognitive pressures. Based on these limitations, we explore how current robotic surgical platforms could be introduced as a first step towards designing surgical robots for knee arthroscopy, that will result in more desirable patient outcomes as well as greater satisfaction for the knee surgeons.
- Subjects :
- musculoskeletal diseases
0209 industrial biotechnology
medicine.medical_specialty
Knee arthroscopy
medicine.diagnostic_test
business.industry
Arthroscopy
020207 software engineering
02 engineering and technology
musculoskeletal system
Robotic assisted surgery
020901 industrial engineering & automation
Knee surgery
0202 electrical engineering, electronic engineering, information engineering
medicine
Medical physics
Elective surgery
business
human activities
Surgical robot
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 31st Australian Conference on Human-Computer-Interaction
- Accession number :
- edsair.doi...........79e3da1737ce6e70e67a2a198ec70866
- Full Text :
- https://doi.org/10.1145/3369457.3370916