A New Face of Healthcare Through AI, Blockchain, HCI and MIoT

Remote Patient Monitoring is a term that indicates the use of Information Communication Technologies (ICT) to deliverhealth care services by increasing the access to care and medical information. According to the World Health Organization(WHO), RPM is a process of exchanging valid information for diagnosis, treatment and prevention, research and evaluationpurposes where it has interested in advancing the health of individuals and their communities. RPM holds a great potentialin revolutionizing the delivery of healthcare services and clinical management. But along with all the benefits, there areseveral challenges and barriers blocking the diffusion of RPM. High computational power, complexity, data security, costand accuracy are some of the main issues related to the incorporation of RPM in the healthcare sector. RPM systems aredesigned to obtain several physiological data from patients. This research project presents a novel system architecture fora remote patient monitoring (RPM) system which addresses all the issues with the existing RPM systems and aims to easethe medical decision making. The proposed RPM system is designed using various emerging technologies like deeplearning, Blockchain, cloud computing and Medical Internet of Things (MIoT). The high-level architecture of the proposedsystem has 3 layers which combine to form the system capable of tracking the medical and health parameters of a patientthrough a MIoT device consisting of various types of sensors. All the data recorded by the sensors are then transmitted tothe cloud server through a safe blockchain network ensuring the safety of sensitive medical data of the patient. At the cloudserver, the physiological data is analysed and then shared with the doctors and other health professionals to help them makethe medical decisions for the patient and monitor their health in real time.