Health is one of the most important criteria for the progress and advancement of any nation. Moreover, the use of an electronic system that manages data, information, and various processes enables health facilities to carry out their tasks and then evaluate their activity and reveal the efficiency of their operations and the success of their management at present and are considered evidence of dedication to an approach that guarantees the rights of the individual to health and information. (Andrade et al., 2012) Automation is the evolution of the automation of healthcare processes. This is made possible by the recent availability of cloud-based AI tools, such as machine learning, speech recognition, natural language processing, and computer vision. These companies allow the automation of tasks related to healthcare operations that were previously thought to be too complex or human-centric for machines to accomplish. Physicians, hospitals, and researchers use automation to reduce costs and improve the quality of care, as well as to help analyze patients and process data. Automation, artificial intelligence, and machine learning are all well-suited to handling massive amounts of data and managing repetitive tasks. As with any powerful tool, automation in healthcare is so complex that healthcare managers and executives must be educated on how automation interacts with healthcare to make the best use of technology and understand the challenges involved. If they want to succeed in the 21st century, healthcare leaders must be prepared to capitalize on automation trends. (Ruiz & Duffy, 2021)