AI conversational agents in older adults with chronic disease: A scoping review.

To examine the relationship between artificial intelligence (AI) and older adults with chronic diseases a scoping review methodology was used. Using four electronic databases, data was managed in accordance with the PRISMA-ScR, analyzed and presented in a Matrix. Findings from 12 studies show AI conversational agents (CA) can improve chronic outcomes but factors affecting effectiveness on real-life situations in older adults limits usability and clinical relevance. Older adults with neurocognitive disorders (e.g., Alzheimer's dementia) and a general lack of research examining AI use in older adults with chronic diseases is dearth. Current research fails to recognize critical end-user differences (e.g., age variations, chronic disease severity, demographics) as multifarious technological features and privacy issues widen barriers including health outcomes, usability, trust and AI satisfaction in health decision making practices. Stakeholder perspectives to ensure human-patient and disease centered care approaches and age-disease variations are a critical technology integration point to improve relevance.