LifeChamps development is focused on a PM analytical Dashboard based on PM4H to model patient ill-health trajectory, patients stratification, and to measure quality care service, in post-cancer treatment interventions
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Geriatric oncology, concerned with the diagnosis and treatment of cancer in the elderly, is an important subtopic. Improving outcomes hinges on many different factors, including the quality of services received. The EU-funded LifeChamps project aims to provide support to middle-aged and older (pre-frail and frail) cancer patients. It has developed a big data-driven solution with artificial intelligence (AI) and analytics engine that can offer timely and accurate clinical decision support.
Operating on both the cloud and at the mobile edge, this new tool can identify the factors that affect the quality of life of a patient. Ultimately, this offers personalised healthcare services as regards symptoms monitoring, treatment and rehabilitation. The project will conduct multinational pilot use case scenarios.
The steady increase in life expectancy, mean age and cancer survivorship across the developed countries together with evidence from cancer and geriatrics care research bring forward the urgent need to deal with the “age issue” as a key component of global cancer care strategies. In 2012, an estimated 6.7 million new cases of cancer were diagnosed in adults aged 65 years and older, representing 47.5% of the total number of new cancer cases worldwide while 8% of the world population in that time was aged 65 years and older. On the other side, increasing age and comorbidities are often associated with a discriminant lower use of aggressive cancer therapies, as well as a higher neglection for their preferences in health‐related quality of life (HRQOL) care support.
The project delivers a novel, context-aware and large-scale analytics framework capable of delivering multi-dimensional Quality of Life (QOL) support to all the different cancer life champions during and after their treatments. LifeChamps is providing support to middle-aged and older (pre-frail and frail) cancer patients, as well as their caregivers and healthcare professionals, with an integrated Big Data-driven solution capable to improve their QOL via a timely and more accurate clinical decision support at the point of care. Its Artificial Intelligence (AI) and analytics engine, running both at the cloud and at the mobile edge, can determine accurately which factors affect the oncological patients’ QOL the most, during and after their treatment. Furthermore, complemented by a health recommender system LifeChamps offers personalized healthcare services (such as symptom monitoring, treatment and rehabilitation) to these patients and their caregivers. Finally, a multi-factorial frailty model will allow stratifying sub-clinical frail groups of geriatric cancer patients towards more personalized treatment.
