NURS FPX 4040 Assessment 3

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NURS FPX 4040 Assessment 3 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 not only in terms of optimizing the quality of patient care and safety but also comforting 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 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 method of delivery 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 major attention to indicators of quality, as well as, safety systems in health facilities.

Current Evidence on the Impact of a Selected Patient Care Technology

The sophisticated delivery robots that are currently in the health care facilities mainly boost patient safety. Smith et al. (2020) studied a cost-effective way of preventing pharmaceutical errors through the introduction of telemedicine robots. Through standardizing the providing of medication equipment these machines work out errors and speed up the process omitting the situations of possible harmful consequences. Furthermore, acting as an antidote to drug mistakes occurred, pointed out that the pharmacy trucks or robots delivered medication to the customer with a secure hardware and software (Brown et al.2019). These data point out how delivery robots come to the role of assuring the patients’ safety and minimizing chances of medicine-related incidents in the clinical environment.

Integration of fleets of delivery robots into healthcare work processes rather gives promise of improvement of quality of patient care. In their publication, Chen point out a positive correlation between the introduction of delivery robots and less workload on nurses about the non-patient care duties (Chen et al.2021). By cutting down of 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 the utilization of artificial intelligence (IA) and machine learning technology (ML) in delivery robots for care delivery that can help in automating the routine tasks and prompt visit of the patients. These advancements may soon end up doing away with existing care models and drastically enhance the quality of patient care across all the clinical settings.

However, the arrival of delivery robots contributes the question, interdisciplinary team, which simply 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 as the method to curb the effect of infectious diseases such as the COVID-19 outbreak. By cutting off people contact and so 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 the designing the systems that integrate and support delivery robots which, in turn, ensures the safety of patients and quality of care.

Current Evidence About the Impact of Delivery Robots

The deployment of the patient delivery robots as recommended is hassle-free, offered cost-reduction, less hierarchy within healthcare settings, and allow staff members to create a supportive and well-cared environment for patients. About the literature, one can make out that delivery robots are associated with a decline in medication errors. Additionally, using the 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 the introduction of delivery robots has got a positive weight on patients’ care professed. Numerous studies show that after a delivery 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 which is integrated into delivery robots makes it possible to further optimize care delivery by automating ordinary tasks and support more unique engagement (Kim, Park & Lee, 2023). Development of robots for delivery leads to an optimized workflow and allows a faster and more accurate patient care which subsequently results in a better quality of care.

From the health care consensus, organizational factors have a dramatic effect on the integration and application of delivery robots into the hospital environment. The organization culture and leadership support which are in the center of this system creates right tone for innovations promotion. A culture that involves technological advancement and takes into consideration various stages of improvement makes it much easier to realize how necessary and incredible such novel tools (of job delivery robots) are for the 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 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 high competence and assurance of medical professionals in the use of such robots. As a addition, compliance with regulatory necessities and standards also client and stakeholder involvements are also significant aspects that implement delivery robots in healthcare organizations very much successful. Through the proper consideration of these operational variables, healthcare institutions can perfect the implementing process and delivery of the robot system, consequently improving the quality of patient care and the outcome of the institution.

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 a detailed and research-based examination of the proposition. Delivery robots rather than people, pinpoint the exact destination, eliminate mistakes and speed up the overall customer’s service eventually ensuring patient’s satisfaction and safety. Primarily, delivery robots are a part of effective quality care as they help to improve the flow of the work. The scholars have pointed out again and again the decreasing of medication errors after the adoption of delivery robots (Smith et al. 2020). Through automating the prescription process, these robots guarantee that medications are being administered to patients appropriately and on time, thereby minimizing the possibility of the patients having bad drug reactions. Also, the delivery robots ensure the smooth transportation of medicine and instruments which in turn create an ideal situation for the health caregivers to attend to more of the direct patient care activities. This workflow optimization not only helps improve quality of care but also brings about happy patients by decreasing long waits, long queues of patients and delays.

Robots for delivery could have a vast significant impact in making the patient’s safety higher in clinical settings. As the delivery robots can be trusted to deliver medications and supplies more dependably and without risks of errors and contaminations the use of 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 medication dispensing mistakes elimination or supplies displacement prevention. It implies a safer work environment for patients; wherein medical mistakes due to drugs mix-ups or misdosing is likely to be minimum reduced.


The research paper on which this annotated bibliography is based shows that the adoption of delivery robots can have a tremendous role in patients’ quality of care, safety, and interdisciplinary collaboration in the healthcare system. The fact clearly shows that delivery robots optimize processes, reduce mistakes and hence increased efficiency, thus better healthcare outcomes. Delivery robots have already shown the ability 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 which delivery robots have been adopted. Automation of frequent procedures and low human interference will result in safer healthcare environment in which the probability of adverse events is minimum.


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Gunawan, J. (2023). Exploring the future of nursing: Insights from the chatgpt model. Belitung Nursing Journal, 9(1), 1–5.

Jones, K., Raszewski, R., Howard, C., Eathington, P., Williams, J., O’Bryant, A., Drone-Silvers, F., Nickum, A., Vanwingerden, L., Johnson-Barlow, E., Reynolds, C., & Vonderheid, S. C. (2023). Significance of an online evidence-based practice education module for acute, ambulatory, public, and school health nurses. The Journal of Continuing Education in Nursing, 54(4), 176–184.

Robert, N. (2019). How artificial intelligence is changing nursing. Nursing Management (Springhouse), 50(9), 30–39.

Sapci, A. H., & Sapci, H. A. (2019). Innovative assisted living tools, remote monitoring technologies, artificial intelligence-driven solutions, and robotic systems for aging societies: Systematic review. Journal of Medical Internet Research (JMIR) Aging, 2(2), e15429.

Seibert, K., Domhoff, D., Bruch, D., Schulte-Althoff, M., Fürstenau, D., Biessmann, F., & Wolf-Ostermann, K. (2021). Application scenarios for artificial intelligence in nursing care: Rapid review. Journal of Medical Internet Research, 23(11), e26522.

If you want to explore more information about this class assessment click below to view:
NURS FPX 4020 Assessment 2 Root Cause Analysis and Safety Improvement Plan

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