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Integrating the Caring Life Course Theory and Artificial Intelligence Applications to Enhance Cancer Care Across the
Juliana Christina1, Kelly Ford1, Bradly Menz1
1Caring Futures Institute, Flinders University, Adelaide, Australia.
Seminars in Oncology Nursing
|October 16, 2025
Summary
Integrating artificial intelligence (AI) with the Caring Life Course Theory (CLCT) can enhance personalized cancer care. This approach addresses complex needs, but ethical considerations and implementation barriers require careful attention for equitable and responsive patient support.
Area of Science:
- Oncology
- Health Informatics
- Nursing Science
Background:
- The global cancer burden necessitates holistic, person-centered care models.
- Integrating artificial intelligence (AI) offers potential to improve cancer care delivery.
- The Caring Life Course Theory (CLCT) provides a framework for comprehensive care.
Purpose of the Study:
- To explore how the CLCT can inform and enhance AI integration in cancer care.
- To examine AI applications within the CLCT framework across different care levels.
- To identify strategies for leveraging AI to improve cancer care delivery.
Main Methods:
- Conceptual synthesis.
- Narrative synthesis.
- Exploration of CLCT constructs and AI applications.
Main Results:
- AI supports personalized care planning, symptom monitoring, and service coordination.
- CLCT guides AI for longitudinal, life-course-informed cancer care.
- Challenges include ethical concerns, algorithmic bias, and implementation barriers.
Conclusions:
- Aligning AI with CLCT promotes personalized, equitable, and responsive cancer care.
- Future research should focus on ethical co-design and sustained implementation.
- AI integration, guided by CLCT, can aid nurses in care coordination and monitoring.
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