BEhavioral and Adherence Model for improving quality, health outcomes, and cost-effectiveness of healthcaRe
The main objective of the Project is to create BEAMER, a disease-agnostic behavioral and adherence model for improving quality, health outcomes, and cost-effectiveness of healthcare, through improving the quality of life of individuals, enhancing healthcare accessibility and sustainability. The model will allow for tailoring to individual’s needs, using Real World Data captured from patients’ behaviors and health system information, transforming the way healthcare stakeholders engage with patients to optimize their understanding of their condition and adherence levels throughout their patient journey.
BEAMER is driven by a set of Ontology, Epistemology, and Methodology principles, supported by Artificial Intelligence, Natural Language Processing, and Machine Learning. BEAMER will optimize the disease-agnostic adherence model by real-life testing proof-of-concept in 18 different pilots in Norway, Spain, the Netherlands, Germany, Portugal, and Italy, including over 18,000 patients (3000 patients in each thematic area). BEAMER will be embodied in an open-source European searchable database, continuously updated, validated, and optimized by empirical evidence and new insights, available to all stakeholders, and adaptable for future developments in healthcare.
MYSPHERA contributes to the definition of the Knowledge model and the implementation of data collection tools as well as the validation of the model in the different pilot studies. In addition to that contributions will be provided to support the co-creation activities and the successful implementation of the Adherence Living Lab.
“The project leading to this application has received funding from the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No 101034369. The JU receives support from the European Union’sHorizon 2020 research and innovation programme and EFPIA and LINK2TRIALS BV”.