ABSTRACT
The Coronavirus disease 2019 (COVID-19) pandemic has led to a catastrophic public health emergency that impacted the global society's prosperity, health, and security. Concurrently, the swift technological development over the recent decades has enabled the rising implementation of robots in various industries. In particular, there is a growing demand for robotic technology in the healthcare sector as a precautionary measure since they significantly reduce the risk of cross-infection through interpersonal contact among medical professionals by shifting to computerized routine tasks. Therefore, this paper presents a comprehensive review of the use of robots in the healthcare sector during and post-COVID-19 pandemic. This paper highlights the increasing demand and adoption of robotic technology during and post-pandemic COVID-19 in healthcare sector. The benefits to the society and engineering managers, and challenges in implementing robotic technology in the healthcare sector are provided at the end of this paper before the paper ends with a concise conclusion. IEEE
ABSTRACT
Significant with COVID-19 pandemic breakout, and the high risk of acquiring this infection that is facing the Healthcare Workers (HCWs), a safe alternative was needed. As a result, robotics, artificial intelligence (AI) and internet of things (IoT) usage rose significantly to assist HCWs in their missions. This paper aims to represent a humanoid robot capable of performing HCWs’ repetitive scheduled tasks such as monitoring vital signs, transferring medicine and food, or even connecting the doctor and patient remotely, is an ideal option for reducing direct contact between patients and HCWs, lowering the risk of infection for both parties. Humanoid robots can be employed in a variety of settings in hospitals, including cardiology, post-anesthesia care, and infection control. The creation of a humanoid robot that supports medical personnel by detecting the patient's body temperature and cardiac vital signs automatically and often and autonomously informs the HCWs of any irregularities is described in this study. It accomplishes this objective thanks to its integrated mobile vital signs unit, cloud database, image processing, and Artificial Intelligence (AI) capabilities, which enable it to recognize the patient and his situation, analyze the measured values, and alert the user to any potentially worrisome signals. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.