Harnessing the Capabilities of IoHT-Based Remote Monitoring Systems for Decision Making in Elderly Healthcare

Increased world demographics create the need for additional care and assistive services to support seniors living in their residencies transformed into smart homes. Remote Monitoring Digital Solutions (RMDSs) are integrated into such smart environments providing cost-effective and on-time healthcare services. Artificial Intelligence (AI) in healthcare helps gaining insights for evidence-based clinical decision-making. After collecting data related to location, activity intensity, sleep patterns, social interaction, medication use and vital signs from environmental and wearable sensors and smart devices, data analysis helps better decision making and progress tracking. The chapter aims to: Describe the role of Internet of Health Things (IoHT) devices and solutions in assisting seniors in their homes; Present architectural aspects of the RMDSs used in smart homes for delivering healthcare services for increasing seniors’ quality of life and wellness; Describe the capabilities of the Non-invasive Monitoring System and Health Assessment of the Elderly in a Smart Environment (RO-SmartAgeing) to provide support to physicians in decision making by: Offering actionable insights obtained from the analysis of data collected by RMDSs; Generating notifications and alerts for problems associated to seniors’ health conditions thus helping proactive and preventive medical acts; Implementing AI-based predictive models for detecting mild cognitive impairments and evolution to dementia.