- 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 revolutionizing factor in optimizing the quality of patient care and safety and comforting workflow efficiency for healthcare professionals (Topaz et al., 2019).
On the spectrum of many technologies currently being introduced in nursing, delivery robots represent a worthwhile blend with the potential to alter how supplies, medications, and other materials are transported within healthcare facilities.
Delivery robots are AI machines that can drive the proper path of the hospitals to deliver various items like medicines, lab specimens, and other such 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 hypothetical scenarios involving infectious diseases, among others (Gamage et al., 2020).
This annotated bibliography explains the articles of reviewed publications that support the use of delivery robots in nursing practice, paying major attention to indicators of quality and 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 work out errors and speed up the process, omitting situations with possibly harmful consequences.
Furthermore, as an antidote to drug mistakes, pharmacy trucks or robots deliver medication to the customer with secure hardware and software (Brown et al.2019). These data show how delivery robots assure patients’ safety and minimize the chances of medicine-related incidents in the clinical environment.
Integration of delivery robot fleets into healthcare work processes promises to improve the quality of patient care. In their publication, Chen points out a positive correlation between introducing delivery robots and less workload on nurses regarding 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 (IA) and machine learning technology (ML) in delivery robots for care delivery that can help automate routine tasks and prompt visits of patients. These advancements may soon do away with existing care models and drastically enhance the quality of patient care across all clinical settings.
However, the arrival of delivery robots contributes to the question of interdisciplinary teams, meaning that healthcare professionals from different fields of expertise must work together and have better communication skills. Zhang et al. (2022) have supported the employment of delivery robots as a method to curb the effects of infectious diseases such as the COVID-19 outbreak.
By cutting off human contact and lessening the probability of transmission, the units serve the goals of infection control and, consequently, strengthen the health organization. This multidisciplinary perspective underscores the paramount role of teamwork in designing the systems that integrate and support delivery robots, ensuring patients’ safety and quality of care.
Current Evidence About the Impact of Delivery Robots
As recommended, patient delivery robot deployment is hassle-free, offers cost reduction and less hierarchy within healthcare settings, and allows staff members to create a supportive and well-cared-for environment for patients. The literature shows that delivery robots are associated with declining medication errors.
Additionally, using delivery robots increases the accuracy and timeliness of medication delivery 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 implies that introducing delivery robots positively impacts patient care. Numerous studies show that after a delivery robot has substituted for non-patient care tasks, the workload of a nurse reduces significantly as there is more time for nurses to engage in 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, which is integrated into delivery robots, makes it possible to further optimize care delivery by automating ordinary tasks and supporting more unique engagement (Kim, Park & Lee, 2023). The development of delivery robots leads to an optimized workflow and allows faster and more accurate patient care, resulting in a better quality of care.
From the healthcare consensus, organizational factors dramatically affect the integration and application of delivery robots into the hospital environment. The organization’s culture and leadership support, which are at the center of this system, create the right tone for innovation promotion. A culture that involves technological advancement and considers various stages of improvement makes it much easier to realize how necessary and incredible such novel tools (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 advocating for the integration of delivery robots into the existing work designs. It is crucially important that sufficient resource allocation has been 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 disruption and address 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 high competence and assurance of medical professionals in using such robots.
In addition, compliance with regulatory necessities and standards and client and stakeholder involvement are significant aspects that make delivery robots in healthcare organizations successful. 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 their positive effects on clinical care and patient safety in the general setting, which is proven by a detailed and research-based examination of the proposition. Rather than people, delivery robots pinpoint the exact destination, eliminate mistakes, and speed up overall customer service, eventually ensuring patient satisfaction and safety.
Delivery robots are primarily part of effective, quality care as they help improve workflow. Scholars 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 to patients appropriately and on time, thereby minimizing the possibility of patients having bad drug reactions.
NURS FPX 4040 Assessment 3 Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing
Also, the delivery robots ensure the smooth transportation of medicine and instruments, creating an ideal situation for health caregivers to attend to more direct patient care activities. This workflow optimization not only helps improve the quality of care but also brings about happy patients by decreasing long waits, long queues of patients, and delays.
Robots for delivery could significantly improve patient safety in clinical settings. As delivery robots can be trusted to deliver medications and supplies more dependably and without risks of errors and contamination, using robots can be very promising in the logistics industry (Ajith Prematilleke, 2020).
Furthermore, delivery robots diminish the necessity of human involvement, giving way to more robust mechanisms, such as eliminating medication dispensing mistakes or preventing supply displacement. This implies a safer work environment for patients, wherein medical mistakes due to drug mix-ups or misdiagnoses are likely to be reduced.
Conclusion
The research paper on which this annotated bibliography is based shows that adopting delivery robots can significantly affect patients’ quality of care, safety, and interdisciplinary collaboration in the healthcare system. The fact clearly shows that delivery robots optimize processes, reduce mistakes, and increase efficiency, thus improving healthcare outcomes.
Delivery robots have already shown the ability to improve the quality of care and patient safety in healthcare facilities, therefore their use becomes justified. Studies continuously demonstrate a decrease in medication errors and more streamlined workflows, after which delivery robots have been adopted.
Automation of frequent procedures and low human interference will result in a safer healthcare environment with minimal probability of adverse events. Read more about our sample NURS FPX 4040 Assessment 1 for complete information about this class.
References
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