Generative AI as interactional infrastructure for meaning-centered care in later life - Scorecard - MDSpire

Generative AI as interactional infrastructure for meaning-centered care in later life

  • By

  • Bing Chen

  • An-Yue Jin

  • June 16, 2026

  • 0 min

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Clinical Scorecard: Utilizing Generative AI to Enhance Meaning-Focused Care for Older Adults

At a Glance

CategoryDetail
ConditionMental health in older adults
Key MechanismsGenerative AI as an interactional infrastructure for meaning-centered care
Target PopulationOlder adults facing existential concerns
Care SettingMental health services and community care

Key Highlights

  • Generative AI can support life-review conversations and dignity-preserving narratives.
  • Focus on existential well-being, dignity, and continuity of self.
  • AI should augment human care rather than replace it.

Guideline-Based Recommendations

Diagnosis

  • Shift evaluation from symptom detection to existential and relational dimensions.

Management

  • Utilize meaning-centered psychotherapy and dignity therapy in interventions.

Monitoring & Follow-up

  • Implement safeguards for privacy and crisis escalation.

Risks

  • Address concerns about dependency and relational quality in AI interactions.

Patient & Prescribing Data

Older adults with chronic illness, cognitive decline, and social isolation.

Meaning-centered approaches can enhance resilience and preserve personhood.

Clinical Best Practices

  • Integrate narrative work and life review into mental health care for older adults.
  • Ensure cultural responsiveness in AI applications.

Related Resources & Content

Original Source(s)

Generative AI as interactional infrastructure for meaning-centered care in later life

  • by Bing Chen, An-Yue Jin

  • June 16, 2026

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