Guest Editorial: IoT‐based secure health monitoring and tracking through estimated computing

Despite the substantial advancements in health technology, the COVID‐19 pandemic has underscored the imperative of enhancing the resilience and efficiency of healthcare systems.Within this context, the Internet of Things (IoT) paradigme merges as highly pertinent in healthcare services, facilitating enriched doctor‐patient interaction while concurrently ameliorating healthcare expenditures. Wearable devices provide patients with personalised access to health‐related data, empower physicians with more effective health monitoring capabilities, and enable hospitals to oversee medical equipment, personnel, and infection transmission dynamics. IoT devices, functioning as data aggregators, accumulate extensive datasets, furnishing valuable insights that augment decision‐making prowess within healthcare settings. However, the exponential proliferation of IoT devices poses formidable challenges in processing this voluminous and diverse data and extracting actionable insights. Amid the manifold benefits of IoT integration in healthcare services, several hurdles persist,including paramount data security and privacy concerns. Real‐time data transmission from IoT devices amplifies these concerns, compounding issues related to data overload and potential inaccuracies. This special issue endeavours to disseminate the latest advancements in IoT within healthcare services. The principal objective is to empower researchers to delve into key concepts conducive to IoT's practical, feasible,and robust integration in healthcare delivery, thereby ensuring expeditious, end‐to‐end, and dependable service provision to patients.