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Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development
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Responsible: Maria Goreti Carvalho Marreiros
Name: Aplicação móvel Inteligente para suporte individualizado e monitorização da função e sons Respiratórios
Acronym: Airdoc
Financer Entitie: ANI - P2020
Budget: 190948.13€
Start Date: 2018
Finish Date: 2021
Status: On-Going
Description: The AIRDOC project aims to develop, integrate and validate a set of information and communication technologies (ICT) of mobile health (mHealth) for remote monitoring and individualized support (coaching) of patients with chronic obstructive respiratory diseases (CORD), using only the smartphone and their embedded sensors. Current tools for CORD self-managing are complex, unattractive, not individualized and require laborious analysis by health professionals, discouraging their use in healthcare. There is an opportunity for a new market of cost-effective and easy-to-disseminate advanced technological solutions directed to patients and attractive to different stakeholders. The strategy of AIRDOC is to develop and integrate self-monitoring and self-managing tools, making use of the smartphones presence in everyday life. AIRDOC intends to contribute to the digital health industry and to innovate on: i) the technologies of remote monitoring of respiratory function and computerized lung auscultation; ii) coaching solutions, integrating psychoeducation, gamification and disease management support systems; and iii) management of personal health data, focusing on security, privacy and interoperability. It is expected that AIRDOC results will have a large impact on the innovation of CORD healthcare, with increased patient involvement and empowerment, providing quality prospective information for better clinical decisions and making healthcare more efficient and sustainable. AIRDOC is therefore strongly aligned with the priorities of the Smart Specialization Domains of the North region of Portugal and the challenges of the Horizon 2020. The consortium (MEDIDA, GECAD and CINTESIS) has complementary experience in healthcare, ICT, mHealth, coaching methodologies and data management and analysis, which is paramount to conduct with success this high-potential project.
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This research group is supported by FEDER Funds through the “Programa Operacional Factores de Competitividade - COMPETE” program and by National Funds through FCT “Fundação para a Ciência e a Tecnologia” under the projects: UID/EEA/00760/2013