- NURS FPX 4040 Assessment 3 Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing.
Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing
The infusion of technology into healthcare settings, including the nursing workforce, has become a vessel for mass implementation. These technological advancements are a revolutionary factor in optimizing the quality of patient care and safety and improving workflow efficiency for healthcare professionals (Topaz et al., 2019). On the spectrum of many technologies currently being introduced in nursing, the delivery robots represent a worthwhile blend with a potential to alter how stuff in the form of supplies, medications and other materials are transported within healthcare facilities.
Delivery robots are AI machines that can drive a proper path through hospitals to deliver various items like medicines, lab specimens, and other equipment to the designated location. These technologies provide several benefits over the conventional manual delivery method through the reduction of human error, improved operation efficiency and minimal user-to-human interface that is quite important to overcome the hypothetical scenarios involving infectious diseases, among others (Gamage et al., 2020). With this annotated bibliography, the articles of reviewed publications that support the use of delivery robots in nursing practice will be explained, paying significant attention to quality indicators, as well as safety systems in health facilities.
Current Evidence on the Impact of a Selected Patient Care Technology
The sophisticated delivery robots currently in healthcare facilities mainly boost patient safety. Smith et al. (2020) studied a cost-effective way of preventing pharmaceutical errors by introducing telemedicine robots. By standardizing the provision of medication equipment, these machines identify errors and speed up the process, omitting possible harmful consequences. Furthermore, acting as an antidote to drug mistakes, the pharmacy trucks or robots delivered medication to the customer with secure software and hardware (Brown et al.2019). These data point out how delivery robots ensure the patients’ safety and minimise the chances of medication errors in the clinical environment.
NURS FPX 4040 Assessment 3 Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing
Integration of fleets of delivery robots into healthcare work processes instead promises improvement in the quality of patient care. In their publication, Chen points out a positive correlation between introducing delivery robots and less workload on nurses for non-patient care duties (Chen et al.2021). By cutting down on administrative functions, nurses will become less overwhelmed and have more time to devote to direct care activities, thus resulting in an enhanced quality of patient care. The authors also talked about using artificial intelligence (AI) and machine learning technology (ML) in delivery robots for care delivery that can help automate routine tasks and prompt visits to patients. These advancements may soon do away with existing care models and drastically enhance the quality of patient care across all clinical settings.
The arrival of delivery robots raises the question of an interdisciplinary team, which means that the healthcare professionals from different fields of expertise need to work together and have better communication skills. Zhang et al. (2022) have supported the employment of delivery robots to address the effects of infectious diseases such as the COVID-19 outbreak. By cutting off people’s contact and lessening the probability of transmission, the units serve the goals of infection control and, consequently, strengthen the health organization. This multi-disciplinary perspective underscores the paramount role of teamwork in designing the systems that integrate and support delivery robots, ensuring patient safety and quality of care.
Current Evidence About the Impact of Delivery Robots
Deploying the patient delivery robots as recommended is hassle-free, offers cost-reduction, less hierarchy within healthcare settings, and allows staff members to create a supportive and well-cared environment for patients. In the literature, Ery robots are associated with declining medication errors. Additionally, using the delivery robots increases the accuracy and timeliness of medication delivery, as stated in (Smith, Johnson, & Lee, 2020; Brown, Garcia, & Nguyen, 2019). Through proper structure and with fewer error chances, delivery robots work as a medium to boost the security of medication administration and improve patient safety scores.
NURS FPX 4040 Assessment 3 Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing
Moreover, the data imply that introducing delivery robots positively impacts patients’ care perception. Numerous studies show that aftepatients’ery robot has substituted for non-patient care tasks, workload of a nurse reduces significantly as there is more time for nurses to engage patient care activities which directly improves the quality of patient care (Chen, Wang, & Zhang, 2021). More dramatically, the application of artificial intelligence and machine learning technology, integrated into delivery robots, makes it possible to optimize care delivery by automating ordinary tasks and supporting more unique engagement (Kim, Park & Lee, 2023). The development of robots for delivery leads to an optimized workflow and allows faster and more accurate patient care, resulting in a better quality of care.
Organizational Factors Influencing the Selection of a Technology
From the health care consensus, organizational factors dramatically affect the integration and application of delivery robots into the hospital environment. In this system’s centre, the organisation culture and leadership support create a tone for innovation promotion. A culture that involves technological advancement and coscreateathe rious stages of improvement makes it much easier to realize how necessary and incredible such novel tools (of job delivery robots) are for society (Smith, Johnson, & Lee, 2020). In addition, the leadership support on the part of the company provides guidance, allocation of resources, and advocacy for integrating delivery robots into the existing work designs.
Sufficient resource allocation must be made, including financial resources for robot acquisition and maintenance, as well as the physical infrastructure required for robot navigation. This sustainable implementation approach can only be achieved by taking these factors into account (Gamage, Poon, & Mayorga, 2020). Interdepartmental collaboration remains the key working to avert the disruption and address the common operational challenges such as integration of delivery robots into various workflows (Chen, Wang, & Zhang, 2021).
Well-rounded staff training and educational procedures are integral for developing medical professionals’ high competence and assurance in using such robots. Additionally, compliance with regulatory necessities and standards and client and stakeholder involvement are significant aspects that ensure the successful implementation of delivery robots in healthcare organizations. By properly considering these operational variables, healthcare institutions can perfect the implementation process and delivery of the robot system, consequently improving the quality of patient care and the institution’s outcome.
Implementation and Use of Delivery Robots in a Health Care Setting
The incorporation and operation of healthcare delivery robots are rationalized by the positive effects on clinical care and patients’ safety in the general setting, which is proven by patient-led and research-based examination of the proposition. Delivery robots, rather than people, pinpoint the exact destination, eliminate mistakes and speed up the overall customer service, ultimately ensuring patient safety. Primarily, delivery robots are a part of effective quality care as they help to improve. Tworkflowcholars have repeatedly pointed out the decrease in medication errors after adopting delivery robots (Smith et al. 2020).
By automating the prescription process, these robots guarantee that medications are being administered appropriately and on time, thereby minimizing the possibility of patients having lousy drug reactions. Also, the delivery robots ensure the smooth transportation of medicine and instruments, allowing caregivers to attend to more direct patient care activities. This workflow optimization helps improve the quality of care and brings about happy patients by decreasing long waits, long queues of patients and delays.
Robots for delivery could have a vast and significant impact on improving patient safety in clinical settings. As the delivery patients can be trusted to deliver medications and supplies more dependably and without risks of errors and contaminations, the use of robots can be auspicious in the logistics industry (Ajith Prematilleke, 2020). Furthermore, delivery robots diminish the necessity of human involvement, giving way to more robust mechanisms, such as medication dispensing mistakes elimination or supplies displacement prevention. It implies a safer work environment for patients, wherein medical mistakes due to drug mix-ups or misdosing are likely to be reduced.
Conclusion
The research papers on which this annotated bibliography is based show that adopting delivery robots can have a significant effect on the area, safety, and interdisciplinary patient care in the healthcare system. The fact clearly shows that delivery robots optimize processes, reduce mistakes and increase efficiency, thus leading to better healthcare outcomes. Delivery robots have already shown the ability to improve the quality of care and patient safety in health care facilities. Therefore, their use becomes justified. Studies continuously demonstrate a decrease in medication errors and more streamlined workflows after adopting the delivery robotisation of frequent procedures and low human interference will result in a safer healthcare environment with minimal probability of adverse events.