BD4QoL intends to significantly impact on the quality of life of people after Head and Neck Cancer through the introduction in the care workflow of innovative e-health solutions supported by large amounts of integrated unconventional and healthcare data, collected by mobile technologies, and Artificial Intelligence algorithms. Our breakthrough approach for the design of clinical trials will open new pathways for clinical research and for new cancer follow-up guidelines that integrate patients, cancer reference physicians, GPs and medical specialists.
The BD4QoL Patients' Empowerment Platform, offering information, recommendations, and a communication channel with clinicians, will impact patients' personal confidence and self-efficacy, and to enhance their wellbeing, motivation and quality of life, and facilitate timely responses to quality of life or health status evolution.
The BD4QoL Point of Care support services, relying on advanced methods for data interpretation and visualization and for the generation of timely alerts in case of severe health issues requiring physicians attention, will impact on timely detection of potential health-related conditions and the timely adaptation of care plans as well as provide new comprehensive information for improved patients' counselling and follow-up.
The integration of Quality of Life trajectories into the Regional extended personal health folder will impact on healthcare policies, and facilitate integrated health care workflows between hospitals and territorial health services by providing novel information on health maintenance, onset and course of medical conditions for optimal prevention and treatment.
Cost-utility assessment of BD4QoL will support policy makers in planning its future application along the Value-Based Healthcare paradigm, with a view to simultaneously offer effective healthcare and social support to patients after cancer and to optimize the usage of healthcare and welfare resources
BD4QoL data models definition supported by a comprehensive domain ontology and by data coherence and consistency rules for semantics mapping ensures integration of heterogeneous large datasets of structured and unstructured medical, behaviour and socio-economic data making them Findable, Accessible, Interoperable and Reusable for new research and for medical purposes.
BD4QoL progresses data driven analytics in areas such as behaviour recognition, natural language understanding, speech analysis and advances artificial intelligence methods that mix data-driven and knowledge-driven paradigms, opening new landscapes for disease prediction and quality of life monitoring, unveiling new causal mechanisms for disease trajectories.
Our novel approach for clinical trials data analysis and interpretation by explainable artificial intelligence methods such as transfer learning and deep learning applied to multisource unconventional data in combination to standard medical data, will impact on the future conduction of clinical investigations and pave the way for transition from evidence-based to data-supported medicine.
