Role of Internet of Health Things (IoHTs) and Innovative Internet of 5G Medical Robotic Things (IIo-5GMRTs) in COVID-19 Global Health Risk Management and Logistics Planning Ugochukwu O. Matthew , Jazuli S. Kazaure , Onyebuchi Amaonwu, Umar Abdu Adamu, Ibrahim Muhammad Hassan, Aminu Abdulahi Kazaure, and Chibueze N. Ubochi 1 Introduction The prompt progressive development in Internet of 5G Medical robotics and Internet of Health Things (IoHTs) was propelled by some permutations in technological and Scientific Innovations in what could be general referred to as paradigm shift in extreme digital automation in Industry 4.0, the fourth industrial revolution that unveiled some set of technological dynamics that pushed the current society into digital realization. While focusing on the comprehensive technology implication of the ongoing digital society extreme automation and why the healthcare sector is at the verge of experiencing unimaginable robotization in the ongoing COVID- 19 pandemic of the twenty century era of “global health uncertainty”. The health- care extraordinary modernism had gradually combined with numerous high-tech digital innovations, concentrating attention on the state-of-the-art blending with Arti- ficial Intelligence (AI), Robotic technologies, Internet of Thing (IoTs), Internet of Medical Things (IoMTs), Internet of Health Things (IoHTs), 5G Network Tech- nology and several others. COVID-19 health calamity had deliberately pushed the capacity for the current digital healthcare automation to accomplish the optimum U. O. Matthew (B ) · O. Amaonwu · I. M. Hassan · A. A. Kazaure Computer Science Department, Hussaini Adamu Federal Polytechnic, Kazaure, Nigeria e-mail: matthew.ugochukwu@hafedpoly.edu.ng J. S. Kazaure Electrical Electronics Engineering Department, Hussaini Adamu Federal Polytechnic, Kazaure, Nigeria U. A. Adamu Polymer Technology Department, Hussaini Adamu Federal Polytechnic, Kazaure, Nigeria C. N. Ubochi Micheal Okpara University of Agriculture Umudike, Umudike, Nigeria © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 M. Niranjanamurthy et al. (eds.), Intelligent Data Analysis for COVID-19 Pandemic, Algorithms for Intelligent Systems, https://doi.org/10.1007/978-981-16-1574-0_2 27