Introduction
Technology development has triggered to quality management in health care. The approach has led to the establishment of an environmental condition that promotes the safety of the patients (Rief et al., 2017). The establishment of the robot has become a critical aspect that has enhanced the achievement of quality management (Han et al., 2017). As a way of enhancing the safety of the patients, robots have promoted the application of process standards, which enhances the linkage between the actual deliveries of care services (Olaronke et al., 2017). In health care settings, physicians and doctors are key users of technology. The integration between physicians and robots assist in tracking essential information, which assists in record keeping, thus improving safety with health care.
Currently, robots have been equipped with an essential technology system that assists in collecting real-time information. The sensor collects information, such as patients' recovery process, which improves the management approach that nurses use in care services (Han et al., 2017). Additionally, robots are used in surgery to prove assistance during operation (Olaronke et al., 2017). The approach helps physicians to reduce unnecessary errors that hinder the achievement of quality health care. As such, robots can be used in collecting data to understand the root cause of a health issue.
The application of robot assists in an accurate collection of information. The approach provides reliable information, which reduces errors that are experienced during treatment, thus enhancing the achievement of patients' safety (Aston, 2014). In health care, reliability is a critical technique that ensures and maintains the patient's safety. Additionally, the application of robots in health care have a highly improved workflow process since they are integrated into some complex issues within health care (Han et al., 2017). Through the approach, robots have been used in process information, which improves consistency and productivity within the environment (Olaronke et al., 2017). For example, information automation has been associated with the provision of an accurate treatment process, which has improved health care outcomes. Healthcare settings that deploy robots have been linked with the provision of quality health care due to effective problem handling.
The installation of robots in health care has been associated with high cost, which hinders its application in most hospitals. As such, not all health care can manage to purchase, install, and maintain the technology. Due to the application of robots in health, institutions increase the price of care, which hinders some patients from access the quality services (Olaronke et al., 2017). Additionally, robot failure has been associated with complex issues, which highly results in death (Han et al., 2017). For instance, robot failure during surgery triggers unexpected complications, which subjects the life of the patient to a dangerous level.
Based on various studies, the advantage of robots outweighs the cons. As such, the application of robots has been associated with massive productivity, which has assisted health care to cater to a large number of the patient within a short period (Rief et al., 2017). Additionally, the approach has assisted in the provision of quality services due to the effective collection and analysis of data. For instance, robots application in the surgical process has assisted in the provision of a smooth process, which reduces stress that highly leads to error (Olaronke et al., 2017). Furthermore, effective maintenance of the system has provided as long term solution in health care.
Nursing leaders direct and influence all activities that take place within a health care setting. As such, nursing leaders are mandated to select the kind of system for introducing in a health setting (Olaronke et al., 2017). Based on their understanding of robot applications, it is much easier to introduce a new system (Aston, 2014). Additionally, nursing leaders are mandated to establish approaches that ensure the effective implementation and sustainability of a system (Han et al., 2017). Therefore, the success of robot implementation and maintenance is bounded by how nurse leaders perceive the system.
References
Rief, J. J., Hamm, M. E., Zickmund, S. L., Nikolajski, C., Lesky, D., Hess, R., & Roberts, M. S. (2017). Using health information technology to foster engagement: Patients' experiences with an active patient health record. Health Communication, 32(3), 310-319.
Aston, G. (2014). Powering the information engine. Clinical informatics fuels efforts to improve the quality of care and population health management. Hospitals & Health Networks, 88(1), 46-9.
Olaronke, I., Oluwaseun, O., & Rhoda, I. (2017). State of the art: a study of human-robot interaction in healthcare. International Journal of Information Engineering and Electronic Business, 9(3), 43. https://www.researchgate.net/profile/Iroju_Olaronke/publication/316717436_State_Of_The_Art_A_Study_of_Human-Robot_Interaction_in_Healthcare/links/590f3b6eaca2722d18604958/State-Of-The-Art-A-Study-of-Human-Robot-Interaction-in-Healthcare.pdf.
Han, J., Kang, H. J., & Kwon, G. H. (2017). Understanding the service scape of nurse assistive robot: the perspective of healthcare service experience. In the 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) (pp. 644-649). IEEE. https://www.researchgate.net/profile/Hyo_Jin_Kang3/publication/318204824_Understanding_the_Servicescape_of_Nurse_Assistive_Robot_the_Perspective_of_Healthcare_Service_Experience/links/59645296a6fdccc9b1607036/Understanding-the-Servicescape-of-Nurse-Assistive-Robot-the-Perspective-of-Healthcare-Service-Experience.pdf.
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