The treatment process at home after hospitalization may become challenging for elders and people having any physical or cognitive disability. Such patients can, nowadays, be supported by Autonomous and Intelligent Monitoring Systems (AIMSs) that may get new levels of functionalities thanks to technologies like Reinforcement Learning, Deep Learning and Internet of Things. We present an AIMS that can assist impaired patients in taking medicines in accordance with their treatment plans. The demonstration of the AIMS via mobile app shows promising results and can improve the quality of healthcare at home.
A Self-Learning Autonomous and Intelligent System for the Reduction of Medication Errors in Home Treatments
Donnici;Rosamaria;Coronato;Antonio;Naeem;Muddasar
2021
Abstract
The treatment process at home after hospitalization may become challenging for elders and people having any physical or cognitive disability. Such patients can, nowadays, be supported by Autonomous and Intelligent Monitoring Systems (AIMSs) that may get new levels of functionalities thanks to technologies like Reinforcement Learning, Deep Learning and Internet of Things. We present an AIMS that can assist impaired patients in taking medicines in accordance with their treatment plans. The demonstration of the AIMS via mobile app shows promising results and can improve the quality of healthcare at home.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
