Telemedicine DSS-AI Multi Level Platform for Monoclonal Gammopathy Assistance
Alessandro Massaro, Angelo Galiano, Domenico Scarafile, Angelo Vacca, Antonella Frassanito, Assunta Melaccio, Antonio Giovanni Solimando, Roberto Ria, Giuseppe Calamita, Michela Bonomo, Francesca Vacca, Anna Gallone, Filippo Attivissimo
Abstract
The proposed work describes preliminary results of a research project based on the realization of a Decision Support System -DSS- platform embedding medical and artificial intelligence -AI- algorithms. Specifically the telemedicine platform is suitable for the optimization of assistance processes of patients affected by Monoclonal Gammopaty. The results are related to the whole design of the platform implementing a DSS based on a multi-level decision making process. Starting from the main architecture specifications, is formulated a flowchart based on different alerting levels of patient risk including artificial intelligence -AI- decision supporting facilities. Finally, the perspectives of the performed research are discussed.