# Intelligent Healthcare: Integration of Emerging Technologies and Internet of Things for Humanity
## 1 Introduction
\begin{table}
\begin{tabular}{|p{28.5 pt}|p{28.5 pt}|p{28.5 pt}|p{28.5 pt}|p{28.5 pt}|p{28.5 pt}|p{28.5 pt}|p{28.5 pt}|p{28.5 pt}|} \hline Reference & Test & & & & & & Results \\ \hline [PERSON] et al. [7] & 2019 & CC & L & L & L & None & L & None & Improved energy efficiency for cloud-based IoHT applications \\ \hline [PERSON] et al. [8] & 2019 & CC & & None & None & None & None & & Evaluated the most advanced technologies for IoT-based clinical applications \\ \hline [PERSON] et al. [9] & 2020 & EC, CC & L & None & L & L & L & L & L \\ \hline [PERSON] et al. [10] & 2020 & CC & L & None & L & None & M & None & Determined the integrating abilities of wearables and the IoT in IoHT systems \\ \hline \end{tabular}
\end{table} 
Table 1: Statistics of typical research in the smart healthcare domain in the period 2019-2022. The survey results show that smart healthcare systems are receiving substantial attention from academia and industry. Smart healthcare applications use one of three computing solutions (CC [7; 8; 10; 16], FC [12; 14], or EC [21]) or a combination of solutions [9; 11; 14; 15; 17; 20]. Some studies also point out visions [8; 16], propose improved architectures [7; 8; 11; 12; 14; 15; 20; 21], and point out the challenges in this domain [11; 19; 20]. One of the most important aspects is that of technological solutions. The survey results show that many possible technologies are integrated to enhance the capabilities of smart healthcare systems, including the IoT [10; 19], AI [11; 21], WBAN [8], and blockchain [11; 16]. _Androcc_[22] reported, in a recent survey, on the application of IoT solutions to monitor the COVID-19 pandemic. The author found over 155 related works in this area. The survey results indicated that IoT technology can be applied to almost all stages, such as contact tracing, health monitoring, social distancing, diagnostics, and treatment. Although some studies have integrated one or several technologies to improve the performance, energy efficiency, or privacy and security of smart healthcare systems, the latest survey results have shown that real-time responsiveness, privacy, and security remain significant challenges for smart healthcare systems. In this study, we conduct a comprehensive survey of IoT-based medical and healthcare applications. We propose an all-in-one computing architecture for real-time healthcare applications and indicate application directions for the proposed architecture. Finally, we discuss some challenging aspects, open issues, and future research directions. The main contributions of this study are as follows:  
* We comprehensively review several key Internet of Things-based medical and healthcare applications over the past three years to highlight possible research directions. * We investigate the core technologies and emerging technologies that enable smart healthcare applications. * We propose an all-in-one computing architecture to reduce _service response time_, _computation costs_, and _energy consumption_ for real-time IoT applications. * We indicate application scenarios for the proposed architecture. * Finally, we discuss challenges, open issues, and future research directions. The rest of the paper is organized as follows: In Section 2, we consider core technologies for Internet of Health Things applications. Section 3 presents emerging breakout technologies for IoHT applications. In Section 4, we describe a full picture of the applications and use cases of IoT-based healthcare systems. We propose an all-in-one computing architecture for real-time smart healthcare systems in Section 5. Section 6 indicates challenges and some open issues. Finally, our conclusions are presented in Section 7.