Clinical study to assess the outcomes of a patient-centred survivorship care plan enhanced with big data and artificial intelligence technologies

Background and study aims
In the last decades, evidence has emerged that the lifestyle of cancer survivors, such as exercise, increased fruit and vegetable consumption, healthy body weight and body composition, smoking cessation, and cognitive behavioral therapy, can positively influence their prognosis. However, few survivors are able to meet all of these recommendations. Many cancer survivors have unmet needs, especially when it comes to improving their quality of life, in addition to extending their life. It is estimated that about one in four people living after cancer treatment face moderate to severe physical or psychological issues after their cancer treatment has ended.
This study is designed to improve health outcomes and quality of life and reduce stress in breast and colorectal cancer survivors who have gone beyond curative cancer treatment. These cancer types have been chosen because of their relatively high incidence and survival rates, making up a relatively large survivor population whose follow-up can be improved. The study will evaluate the impact of the use of big data analytics and artificial intelligence on the self-efficacy of participants following an intervention supported by digital tools.
Who can participate?
Survivors of breast and colon cancer aged 18 to 75 in Belgium, Latvia, Slovenia and Spain
What does the study involve?
The intervention will be carried out through an mHealth app for collecting objective (vital signs) and subjective measurements (e.g. symptoms of depression) with the support of a chatbot. Additionally, the Clinical Decision Support System (CDSS) will enable oncologists to personalize treatment and care plans/follow-up for efficient management of patients.