Journal article
Understanding the challenges of robotic-assisted surgery adoption: Perspectives from stakeholders and the general population on human-interaction, built environment, and training
Applied ergonomics, Vol.122, p.104403
01/2025
DOI: 10.1016/j.apergo.2024.104403
PMID: 39418740
Abstract
This study aims to explore adoption barriers from three aspects critical to facilitating robotic-assisted-surgery (RAS) adoption: the human-robot-interaction, built-environment, and training. Guidelines for research and design are identified from these perspectives. This study consisted of three phases: 1) surveys to RAS stakeholders and a crowd-sourcing survey; 2) stakeholder focus groups; and 3) a workshop with subject-matter experts to prioritize future research for RAS. Barriers from the human-robot-interaction perspective include hesitancy among clinicians to trust automation and physical discomfort during prolonged RAS. Barriers impeding communication and workflow disruptions were identified considering the built-environment. Training barriers were exemplified by varying curriculums from formal (courses) to informal (peer training) for surgeons. Crowd-sourced survey results suggest socio-economic status plays a role in RAS perception. Design guidelines include: 1) improved ergonomics; 2) deliberate introduction of automation; 3) sufficient in-room storage for prospective operating rooms; and 4) the development of compact RAS devices for older/smaller rooms.
Details
- Title: Subtitle
- Understanding the challenges of robotic-assisted surgery adoption: Perspectives from stakeholders and the general population on human-interaction, built environment, and training
- Creators
- Patrick Fuller - Clemson UniversitySara Kennedy - Clemson UniversityMatthew Ball - Clemson UniversityHolden Duffie - Clemson UniversityMelanie Gainey - University of South CarolinaQi Luo - Clemson UniversityAnjali Joseph - Clemson UniversityAlfredo Carbonell - University of South CarolinaJackie S. Cha - Clemson University
- Resource Type
- Journal article
- Publication Details
- Applied ergonomics, Vol.122, p.104403
- DOI
- 10.1016/j.apergo.2024.104403
- PMID
- 39418740
- NLM abbreviation
- Appl Ergon
- ISSN
- 0003-6870
- eISSN
- 1872-9126
- Publisher
- Elsevier Ltd
- Language
- English
- Date published
- 01/2025
- Academic Unit
- Business Analytics
- Record Identifier
- 9984938142902771
Metrics
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