Representation of Rural Older Adults in AI Health Research
Author Information
Author(s): Shiroma Kristina, Miller Jacqueline
Primary Institution: Louisiana State University, Baton Rouge, Louisiana, United States
Hypothesis
There is a lack of representation of rural older adults in AI health research.
Conclusion
The study found a significant gap in research focusing on the healthcare needs of older adults in rural areas, highlighting the need for more targeted studies.
Supporting Evidence
- There is a robust body of research on AI for older adults.
- Data disaggregation to examine the specific experiences of rural older adults was challenging to identify.
- The lack of representation raises concerns about exacerbating existing healthcare disparities.
Takeaway
This study shows that we need to pay more attention to older people living in the countryside when using AI in healthcare.
Methodology
A systematic review of peer-reviewed studies published between 2013 and 2023 was conducted.
Potential Biases
The generalizability of findings may be limited due to the underrepresentation of rural populations.
Limitations
The review identified a lack of studies specifically focusing on rural older adults.
Participant Demographics
Older adults, particularly those in rural areas.
Digital Object Identifier (DOI)
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