Smartphone-based IoT systems have the potential to predict and keep control of Quality of Life measurements with the adequate design. This work aims to provide a comprehensive strategy for the development of a disease-specific application to monitor Quality of Life in Head and Neck Cancer survivors. This research first presents the results from a literature review focused on mHealth services for cancer patients. Second, we provide a complete overview of a clinical trial protocol where patients are encouraged to (1) perform self-management by actively reporting symptoms, (2) keep healthy lifestyles, (3) interact with an embedded artificial intelligence that serves as an additional patient-physician communication channel, and (4) fill in Quality of Life standard questionnaires from a web platform from home. The challenges addressed, the unobtrusive data collection procedures chosen, and the quality data obtained from physical, social, and behavioral measures, provide a resourceful set of guidelines and requirements for future research works aimed at after-treatment cancer patients monitoring through IoT portable devices.
Smartphone-Based Strategy for Quality-of-Life Monitoring in Head and Neck Cancer Survivors / L. Lopez-Perez, I. Alonso, E. Filippodou, F. Mercalli, S. Cavalieri, E. Martinelli, L. Licitra, A. Manos, M.F. Cabrera-Umpierrez, G. Fico. ((Intervento presentato al 16. convegno EAI International Conference on Pervasive Computing Technologies for Healthcare tenutosi a Thessaloniki nel 2022.
Smartphone-Based Strategy for Quality-of-Life Monitoring in Head and Neck Cancer Survivors
S. Cavalieri;L. Licitra;
2022
Abstract
Smartphone-based IoT systems have the potential to predict and keep control of Quality of Life measurements with the adequate design. This work aims to provide a comprehensive strategy for the development of a disease-specific application to monitor Quality of Life in Head and Neck Cancer survivors. This research first presents the results from a literature review focused on mHealth services for cancer patients. Second, we provide a complete overview of a clinical trial protocol where patients are encouraged to (1) perform self-management by actively reporting symptoms, (2) keep healthy lifestyles, (3) interact with an embedded artificial intelligence that serves as an additional patient-physician communication channel, and (4) fill in Quality of Life standard questionnaires from a web platform from home. The challenges addressed, the unobtrusive data collection procedures chosen, and the quality data obtained from physical, social, and behavioral measures, provide a resourceful set of guidelines and requirements for future research works aimed at after-treatment cancer patients monitoring through IoT portable devices.Pubblicazioni consigliate
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