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Public Health.
Lucy Shrestha1, Hom Lal Shrestha2
1School of Kinesiology and Health Sciences, Laurentian University, Sudbury, ON, Canada.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 23, 2025
Summary
This study explored older adults' perceptions of artificial intelligence (AI) in healthcare. Findings reveal how AI can enhance care for seniors and identify key factors for successful AI integration in aging populations.
Area of Science:
- Gerontology
- Health Informatics
- Artificial Intelligence in Healthcare
Background:
- The global population of older adults is rapidly increasing, necessitating improved healthcare delivery strategies.
- Artificial intelligence (AI) shows potential for enhancing patient care, particularly for older adults managing health conditions.
- There is a significant gap in understanding older adults' perceptions of AI implementation in healthcare settings.
Purpose of the Study:
- To explore older adults' perceptions of artificial intelligence (AI) in healthcare within Northern Ontario, Canada.
- To identify facilitators and barriers to AI utilization in community settings serving older adults.
- To inform the development of AI-driven healthcare solutions tailored to the needs of an aging population.
Main Methods:
- Employed an appreciative inquiry framework for data collection.
- Conducted interviews with older adults to understand their views on AI in healthcare.
- Utilized Braun and Clark's six-step thematic analysis for data interpretation.
Main Results:
- Identified key perceptions of older adults regarding AI in healthcare settings.
- Highlighted barriers and facilitators to AI adoption in Adult Day Centers and Retirement Homes.
- Provided insights for developing educational materials and training programs to improve AI comfort and utilization among older adults.
Conclusions:
- Research findings can guide the development of AI-enabled care models to better support older adults.
- Identified factors contributing to improved AI-assisted healthcare for the aging population.
- Results can inform policy adjustments and stakeholder strategies for integrating AI in elder care.
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