⚡ Quick Summary
This scoping review explores the role of Artificial Intelligence (AI) in supporting Aging in Place (AIP), highlighting its potential to enhance both health and social aspects for older adults. The study identifies key themes and emphasizes the need for more comprehensive research to address environmental and ethical factors.
🔍 Key Details
- 📊 Studies Analyzed: 32 empirical studies
- 🔍 Databases Used: PsycINFO, CINAHL, MEDLINE, PubMed
- 🧩 Key Themes Identified: Health and Well-being, Social Inclusion, Successful Aging, Healthcare, Public Health Strategies
- ⚠️ Limitations: Lack of integration of environmental factors and theoretical frameworks
🔑 Key Takeaways
- 🌟 AI has significant potential to support AIP for older adults.
- 🧑🤝🧑 Social inclusion is a critical aspect of successful aging.
- 🏥 Healthcare and end-of-life care are essential components of AIP strategies.
- 🌍 Environmental factors must be considered for effective AIP solutions.
- ⚖️ Ethical issues like AI bias need further exploration.
- 🔄 Future research should validate AI models across diverse populations.
- 📈 Comprehensive AIP solutions require a multi-faceted approach.
📚 Background
As the global population ages, the concept of Aging in Place (AIP) has gained traction as a vital strategy for enabling older adults to live independently and safely within their communities. While AI technologies have shown promise in clinical settings, their application in non-clinical dimensions of AIP remains underexplored. This review aims to bridge that gap by examining current research and identifying future directions for AI in AIP.
🗒️ Study
The scoping review analyzed a total of 32 empirical studies sourced from four electronic databases. The focus was on identifying themes related to the application of AI in AIP, particularly in addressing both health and social dimensions outside of clinical environments. The findings reveal significant insights into how AI can be leveraged to improve the quality of life for older adults.
📈 Results
The review identified five key themes: Health and Well-being, Social Inclusion and Connectedness, Successful and Active Aging, Healthcare and End-of-Life Care, and Public Health and Community Strategies. However, many studies lacked a comprehensive approach, failing to integrate broader environmental and contextual factors that are crucial for effective AIP solutions. Additionally, ethical considerations such as fairness and AI bias were not adequately addressed.
🌍 Impact and Implications
The findings of this review underscore the importance of integrating AI into AIP strategies to enhance the well-being of older adults. By addressing both health and social factors, we can create more equitable and effective interventions. Future research should focus on validating AI models across diverse populations and incorporating environmental and social factors to ensure that AIP solutions are comprehensive and inclusive.
🔮 Conclusion
This scoping review highlights the transformative potential of AI in supporting Aging in Place for older adults. By focusing on both health and social dimensions, we can develop more effective strategies that promote independence and quality of life. The future of AI in AIP looks promising, and further research is essential to unlock its full potential.
💬 Your comments
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Artificial Intelligence and Aging in Place: A Scoping Review of Current Applications and Future Directions.
Abstract
BACKGROUND AND OBJECTIVES: As the global population continues to age, Aging in Place (AIP) has emerged as an essential strategy to help older adults live safely and independently within their communities. While Artificial Intelligence (AI) holds promise for supporting AIP, particularly in clinical settings, limited research has focused on its application in non-clinical dimensions of AIP. This scoping review aims to explore the current landscape of AI in AIP research, focusing on its potential to address both the health and social aspects of aging outside of clinical settings.
RESEARCH DESIGN AND METHODS: Using a scoping review framework, the study analysed 32 empirical studies sourced from four electronic databases: PsycINFO, CINAHL, MEDLINE, and PubMed. The focus was on identifying the themes related to AI in AIP related studies.
RESULTS: The review identified five key themes: Health and Well-being, Social Inclusion and Connectedness, Successful and Active Aging, Healthcare and End-of-Life Care, and Public Health and Community Strategies. Many studies did not fully integrate broader environmental and contextual factors, which are critical for creating comprehensive AIP solutions. Few studies employed theoretical frameworks, limiting the ability to analyse how social, physical, and service-related factors influence AIP outcomes. Ethical issues such as fairness and AI bias were also underexplored.
DISCUSSION AND IMPLICATIONS: The review emphasizes the need for future research to validate AI models across diverse populations and to better integrate environmental and social factors. This would ensure more equitable and effective AI-supported interventions and policies that enhance AIP for diverse aging populations.
Author: [‘Park S’, ‘Ahn E’, ‘Ahn TH’, ‘Ahn SN’, ‘Park S’, ‘Kwon E’, ‘Ahn S’, ‘Yang Y’]
Journal: Gerontologist
Citation: Park S, et al. Artificial Intelligence and Aging in Place: A Scoping Review of Current Applications and Future Directions. Artificial Intelligence and Aging in Place: A Scoping Review of Current Applications and Future Directions. 2025; (unknown volume):(unknown pages). doi: 10.1093/geront/gnaf130