Abstract
Current patient follow-up practices held by General Practitioners (GPs) are often unstructured. Due to the high number of patients and time limitations, data collection and trend analysis is often performed only for a small number of critical patients. An increasing demand is coming from the physician community for having a set of supporting tools for reducing the time needed to process patient data and speed-up the diagnosis process. Furthermore, the possibility of monitoring patient activities at home would provide less biased and more significant data. Unfortunately, however, current solutions are not able to collect reliable data without the intervention of formal caregivers. This paper proposes an improved version of some medically-backed techniques in an unobtrusive platform to monitor patients at home. Data are automatically collected and analyzed to provide GPs with the current status of the monitored patients and their health trend, contributing in a more precise and reliable decision making.
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Calvaresi, D., Cesarini, D., Marinoni, M., Buonocunto, P., Bandinelli, S., Buttazzo, G. (2015). Non-intrusive Patient Monitoring for Supporting General Practitioners in Following Diseases Evolution. In: Ortuño, F., Rojas, I. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2015. Lecture Notes in Computer Science(), vol 9044. Springer, Cham. https://doi.org/10.1007/978-3-319-16480-9_48
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DOI: https://doi.org/10.1007/978-3-319-16480-9_48
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16479-3
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