Using AI Robots in Long-Term Care
Author Information
Author(s): Hung Lillian, Ren Haopu (Lily), Wong Karen Lok Yi, Davies Katharine, Kinugawa Arisa
Primary Institution: University of British Columbia
Hypothesis
Can an AI-enabled service robot improve the feasibility and acceptability of care in long-term care settings?
Conclusion
The study found that implementing an AI-enabled service robot in long-term care is feasible and acceptable with proper support and training.
Supporting Evidence
- The study identified key facilitators such as staff engagement and training.
- Barriers included environmental dynamics and resource limitations.
- Structural support at various levels is crucial for effective technology implementation.
Takeaway
This study shows that robots can help caregivers in nursing homes by making their jobs easier and providing better care for residents.
Methodology
The study used focus groups and interviews with staff and residents to assess the implementation of the service robot.
Limitations
The study may be limited by the specific context of the Canadian long-term care home and the small sample size.
Participant Demographics
Interdisciplinary staff and residents from a Canadian long-term care home.
Digital Object Identifier (DOI)
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