Smart Healthcare Ecosystem for Elderly Patient Care

摘要

The healthcare sector is one of the rapidly growing service-based sectors in the world. Constant technological adoptions have been implemented to provide enhanced patient care and other healthcare-related services. Recently, the rapidly growing Internet and sensing technologies, cloud platforms, and remote healthcare monitoring have paved a way to build smart healthcare ecosystems. However, special attention needs to be given for delivering high-quality clinical services for the growing elderly population and critically ill patients who are finding it difficult to reach out for professional medical help either due to terminal illness or because of their remote geographical location. In this paper, we propose a service model for a smart healthcare ecosystem where the patient data is collected via medical IoT sensors connected to the patient, sensor’s data is stored in cloud infrastructure, and is analyzed by an expert from a remote telemedicine center. Moreover, an authorized telemedicine infrastructure’s person can regularly monitor the activities of the caregiver and interact with the patient without having the patient to visit the hospital. This proposed healthcare service model aims to improve trust, reliability, and cost-effectiveness of the overall healthcare service delivery.