A Privacy-Preserving and Cloud-Based Framework for Medical Emergencies Detection in Smart Systems

Cloud-based technologies are increasingly being adopted by the medical industry. It has become easier for patients to manage their health and contact their physicians remotely as a result of smart healthcare systems. However, the usage of the Internet of Things (IoT) and cloud computing in these systems raises serious concerns about the patient’s privacy and the risk of unauthorized disclosure of their sensitive medical information. In this paper, we worked on developing a privacy-preserving cloud-based framework that monitors the patient’s physiologic parameters such as the heart rate and alerts their doctor in case of a medical emergency. Our system was designed using cloud and Internet of Things technologies to meet the high standards of performance and availability required by the healthcare sector while preserving patient privacy by translating the patient’s previously formalized privacy preferences into a language that the cloud ecosystem can understand. Experiments successfully demonstrated the feasibility of this approach in a real-world scenario.