Toward Semantic IoT Load Inference Attention Management for Facilitating Healthcare and Public Health Collaboration: A Survey

Abstract

The health of individuals and populations requires concerted and collaborative efforts by healthcare, public health, social care, and personal health management. The inter-sectoral collaborations are more crucial than ever, especially when facing public health crises, including the ongoing pandemic of coronavirus disease-2019 (COVID-19). Although the capabilities of healthcare and public health systems have increased with a dramatic boost in the use of the Internet of Things (IoT), such IoT-enabled systems are often operating in silos. A pressing need, thus, is the seamless integration of those currently incompatible systems. A promising solution is to leverage semantic technologies to increase interoperability among such systems. Therefore, this article aims to: conduct a systematic review on the current state-of-the-art semantic IoT solutions used in health domain; identify the associated challenges; propose a federated edge-cloud semantic IoT architecture to facilitate the healthcare and public health (HC-PH) collaborations for the health and well-being of the individuals and populations.