Background
Survivors of childhood cancers have an increased risk of developing health problems later in life, such as chronic conditions or late effects of treatment. To prevent serious complications, it is vital that survivors and their families have access to clear and reliable information. This helps them recognize early warning signs and take an active role in their long-term health care.
Project focus and aims
Despite the large amount of information available, many survivors struggle to find information relevant to their specific situation. Current information is often too general and does not reflect individual treatment histories or changing needs over time.
The SAIL project examines how AI can bridge this gap by personalizing health information. The project aims to:
- Identify ways in which AI can support survivors and their families during cancer survivorship.
- Assess perceptions, benefits, and barriers associated with using AI-based digital health tools.
- Develop a concept for an AI-based tool to support long-term health management.
Research Methods
The project is conducted through three interconnected studies:
- Systematic review: A review of how AI is currently used in digital health tools to support patient education and self-management.
- Questionnaire: A survey capturing the perspectives and concerns of survivors and caregivers regarding AI in a health context.
- Group discussions: Focus groups with survivors, families, and healthcare professionals to explore lived experiences and specific information needs in depth.
Impact
The findings from SAIL will provide the foundation for future digital tools. By leveraging AI, we can provide tailored, medically validated, and accessible health information that supports survivors in their long-term follow-up care and improves their quality of life.
