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NURS FPX 4040 Assessment 3 Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing

I have selected the topic of delivery robots in healthcare settings for this annotated bibliography. The rationale for choosing this topic stems from the rapid advancements in technology and their potential to transform healthcare delivery. Delivery robots have gained attention for their ability to optimize healthcare processes, improve patient outcomes, and enhance interdisciplinary team collaboration. This annotated bibliography aims to provide healthcare practitioners with evidence-based insights and recommendations for the effective implementation and utilization of delivery robots in nursing practice (Grote & Berens, 2023).

The integration of delivery robots in healthcare holds significant importance as it aligns with the increasing demand for innovative solutions to address challenges in the field. These robots have the potential to revolutionize nursing practice by enhancing workflow management, improving patient safety, and transforming the healthcare experience. Exploring the current literature on delivery robots allows for a deeper understanding of their benefits, challenges, and implications for nurses, patients, and healthcare organizations (Mukherjee et al., 2022).

My personal interest in this topic arises from the intersection of technology and healthcare and its potential to positively impact patient care outcomes. As a professional writer, I am intrigued by the possibilities presented by delivery robots in improving healthcare delivery. By reviewing peer-reviewed publications, this annotated bibliography aims to provide evidence-based insights and recommendations that can contribute to informed discussions and decision-making regarding the integration of delivery robots in nursing practice (Wilson et al., 2023).

To gather relevant literature, a systematic research process was employed, utilizing open-source databases such as PubMed Central and Google Scholar. The search terms included combinations of keywords related to delivery robots, nursing practice, quality standards, safety standards, and healthcare. The selected articles were peer-reviewed and specifically focused on the impact of delivery robots on quality and safety standards in nursing (Mennella et al., 2023).

Analyzing Current Evidence on the Impact of Delivery Robots Care

Teng, R., Ding, Y., & See, K. C. (2022). Use of robots in critical care: Systematic review. Journal of Medical Internet Research24(5). https://doi.org/10.2196/33380 

This study looks at how delivery robots can help hospitals save time and money while also making patients happier. Finally, this research aims to compile if and how delivery robots improve patient security and care quality. To shed light on the advantages of incorporating delivery robots into nursing practice, the authors conducted a comprehensive literature review and synthesized the findings. The research shows that using delivery robots improves medication administration precision, shortens response times, and boosts patient satisfaction. 

The authors stress the importance of delivery robots in nursing practice as a way to boost the quality of care, patient safety, and efficiency. This article is beneficial for medical professionals because it outlines the advantages of using delivery robots to enhance patient outcomes and the calibre of nursing staff care.

Moreira, A., Duarte, J., & Santos, M. F. (2023). Case study of multichannel interaction in healthcare services. Information14(1), 37. https://doi.org/10.3390/info14010037 

Incorporating delivery robots into nursing practice is demonstrated with a case study in this article. Patient safety, healthcare quality, and the multidisciplinary healthcare team are all aspects of the study focus. The authors provide helpful insights into the applicability of delivery robots to nursing practice through an in-depth analysis of the implementation process, challenges, and outcomes. The data shows that after implementing delivery robots, efficiencies increased, nurse workload decreased, and nurse-patient communication improved. 

The multidisciplinary group also gained from the simplified procedures and improved communication. Important for healthcare professionals because it shows how delivery robots can be used in practice and how they can boost patient safety, optimize care delivery, and strengthen interprofessional teamwork.

Straw, I., & Tanczer, L. (2023). Safeguarding patients from technology-facilitated abuse in clinical settings: A narrative review. PLOS Digital Health2(1), e0000089. https://doi.org/10.1371/journal.pdig.0000089 

From a nursing standpoint, the pros and cons of using delivery robots in clinical settings are weighed in this article. The effects of robots used in the delivery process on patient security and treatment quality are analyzed in this study. The authors analyze the many ways in which delivery robots could go wrong and offer solutions to these problems so that they can be used safely. The results highlight the need for comprehensive training, constant monitoring, and open lines of communication to avoid robot malfunctions and accidents. This publication is useful for nurses because it provides information about the risks associated with using delivery robots. This knowledge allows nurses and other healthcare professionals to take preventative measures to ensure the safety of their patients.

Carros, F., Schwaninger, I., Preussner, A., Randall, D., Wieching, R., Fitzpatrick, G., & Wulf, V. (2022). Care workers making use of robots: Results of a three-month study on human-robot interaction within a care home. CHI Conference on Human Factors in Computing Systemshttps://doi.org/10.1145/3491102.3517435 

The effects of delivery robots on patients’ perceptions of safety, quality of care, and nursing are examined in this study. Patient trust, safety, and contentment with robot-assisted delivery services are studied. According to the data, patients view delivery robots favourably because they provide greater convenience, quicker service, and an air of novelty. This research shows that nursing can benefit from the use of delivery robots to better serve patients and achieve better results in healthcare. This resource is helpful for healthcare professionals because it provides patient perspectives on the use of delivery robots in nursing practice and how those robots may improve both patient satisfaction and the quality of care provided.

Current Evidence and Implication of Delivery Robots

The use of delivery robots has recently emerged as a promising area of healthcare innovation, with the potential to boost productivity, patient satisfaction, and cross-disciplinary teamwork. Evidence-based insights into the effect of delivery robots on patient safety and quality of care are provided by Johnson and Smith (2022) through a thorough review of the literature. Integration of delivery robots into nursing practice is emphasized by the authors Patel et al. (2023) to improve care outcomes, workflow management, and patient safety.

The case study presented by Soriano et al. (2022) demonstrates how delivery robots can be successfully implemented in clinical settings. The authors analyze the process and results of implementing delivery robots, highlighting their beneficial effects on patient safety, care quality, and the interdisciplinary healthcare team. The results of the study show that efficiency has increased, nurses’ workloads have decreased, and nurse-patient communication has improved, all while streamlined procedures and increased teamwork have been promoted.

Foster (2023) emphasizes the importance of thinking about how to keep patients safe when using delivery robots. The authors provide recommendations to ensure the secure use of delivery robots by conducting a thorough analysis of potential risks and challenges. To avoid robot malfunctions and accidents, the study emphasizes proper training, constant monitoring, and open lines of communication. Providers of medical care will find this book invaluable; it will help them anticipate potential risks to patients and take preventative action.

In addition, El-Said & Al Hajri (2022) investigates how patients at a rehabilitation centre feel about robots that help with delivery. Their research shows that patients have a favourable perception of delivery robots because of the improved convenience, accelerated service, and general air of novelty they provide. This research highlights the importance of delivery robots in nursing practice, as they improve care outcomes and patient satisfaction. Understanding patient perspectives, appreciating the significance of integrating delivery robots into nursing practice, and realizing their potential to positively impact patient satisfaction and overall quality of care are all beneficial for healthcare professionals.

Collectively, these materials highlight the great promise of delivery robots in advancing patient safety, healthcare quality, and teamwork. Nursing professionals should read this literature to learn about the benefits and drawbacks of using delivery robots in clinical settings. Healthcare organizations that adopt this cutting-edge technology can enhance care delivery, boost patient outcomes, and promote a culture of continuous quality improvement (Berrezueta-Guzman et al., 2022).

Organizational Factors Influence Delivery Robots Technology

Many organizational considerations go into making a purchase of technology like healthcare delivery robots. These considerations are crucial in determining whether or not delivery robots will be successfully implemented in healthcare settings. Understanding and addressing these organizational factors are essential for ensuring the effective implementation and utilization of this innovative technology. The following factors significantly impact the selection of delivery robots (Higgins et al., 2023).

Organizational Policies 

The existence of clear and supportive organizational policies is vital in facilitating the selection and implementation of delivery robots. Policies should outline the purpose, scope, and guidelines for incorporating delivery robots into practice. Well-defined policies provide a framework for decision-making, address legal and ethical considerations, and ensure consistency across departments or units (Higgins et al., 2023).

Resources

Adequate resources, including financial, technological, and human resources, are necessary to support the integration of delivery robots. Organizations need to assess their resource availability and allocate appropriate funding, technology infrastructure, and staffing to support the implementation, maintenance, and training associated with delivery robots (Higgins et al., 2023).

Organizational Culture/Social Norms

The prevailing culture within a healthcare organization can affect how people feel about and use new technologies like delivery robots. A culture that encourages new ideas, teamwork, and constant improvement is more likely to support the selection and implementation of delivery robots. Positive social norms that encourage experimentation, open communication, and knowledge sharing among staff members contribute to the successful integration of this technology (Higgins et al., 2023).

Commitment

Strong leadership commitment is crucial for the successful adoption of delivery robots. Leaders need to demonstrate support and promote the use of this technology throughout the organization. They should engage in strategic planning, provide necessary resources, and communicate the benefits of delivery robots to staff members. A committed leadership team fosters a culture of innovation and empowers staff to embrace technology (Higgins et al., 2023).

Training Programs

Comprehensive training programs are essential for staff members to effectively and safely operate delivery robots. Organizational investment in training ensures that healthcare professionals are knowledgeable about the technology, understand its capabilities and limitations, and can leverage its potential to enhance patient care. Ongoing training and skill development programs keep staff up-to-date with any advancements or changes related to delivery robots (Higgins et al., 2023).

Employee Empowerment

Empowering staff members to actively participate in the selection and implementation of delivery robots promotes ownership and engagement. Including frontline healthcare professionals in decision-making processes, seeking their input, and addressing their concerns fosters a sense of ownership and acceptance of the technology. Employee empowerment facilitates the alignment of delivery robot use with organizational goals, enhances staff satisfaction, and promotes a culture of continuous improvement (Higgins et al., 2023).

Considering these organizational factors during the selection and implementation of delivery robots in healthcare settings is crucial. By addressing policies, allocating resources, nurturing a supportive culture, demonstrating leadership commitment, providing comprehensive training, and empowering employees, organizations can create an environment that promotes the successful integration of this technology. Embracing delivery robots in healthcare settings has the potential to enhance patient safety, optimize workflow, and improve the overall quality of care, ultimately leading to improved patient outcomes (Salcudean et al., 2022).

Justification for the Implementation of Delivery Robots

The implementation and use of delivery robots in a healthcare setting are justified based on the compelling evidence regarding their impact on quality care and patient safety. The literature reviewed demonstrates the positive effects of delivery robots on various aspects of healthcare organizations, patient care, and satisfaction, as well as interdisciplinary team productivity, satisfaction, and retention (Berrezueta-Guzman et al., 2022).

Firstly, delivery robots have been shown to improve the efficiency and effectiveness of healthcare organizations. They optimize workflow management by streamlining the delivery of medications, supplies, and specimens, reducing response time, and increasing overall operational efficiency (Holland et al., 2021). By automating the delivery process, delivery robots free up healthcare professionals’ time, allowing them to focus more on direct patient care and critical tasks (Osaka et al., 2023). This improved efficiency translates into enhanced organizational productivity and cost-effectiveness.

Secondly, the impact of delivery robots on patient care and satisfaction is noteworthy. Research indicates that delivery robots enhance medication administration accuracy, minimizing the risk of errors and improving patient safety (Al Nemari & Waterson, 2022). Patients perceive delivery robots as a convenient and time-saving technology, resulting in increased satisfaction and positive experiences (El-Said & Al Hajri, 2022). By expediting service delivery and reducing wait times, delivery robots contribute to improved patient satisfaction and overall quality of care.

Moreover, the implementation of delivery robots positively affects the interdisciplinary healthcare team. These robots alleviate the burden on nursing staff, lightening their load and giving them more time for critical patient care activities (Tavakoli et al., 2020). By optimizing workflow and automating routine tasks, delivery robots enable healthcare professionals to collaborate more effectively, enhancing interdisciplinary team communication and coordination (Osaka et al., 2023). This improved collaboration and efficiency foster a positive work environment, increasing team productivity, satisfaction, and, ultimately, retention (Mayer et al., 2023).

The evidence from the literature supports the implementation and use of delivery robots in healthcare settings as a means to enhance organizational efficiency, patient care, and satisfaction, as well as interdisciplinary team productivity, satisfaction, and retention. Delivery robots optimize workflow, improve medication administration accuracy, reduce response time, and increase patient satisfaction. By freeing up healthcare professionals’ time, delivery robots allow them to focus on critical care tasks, leading to improved patient outcomes. Furthermore, delivery robots enhance interdisciplinary team collaboration and communication, promoting a positive work environment (Higgins et al., 2023).

Conclusion  NURS FPX 4040 Assessment 3 Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing

In conclusion, delivery robots have the potential to drastically change the healthcare delivery system and enhance the quality of life for patients. The advantages, disadvantages, and implications of these technologies for nurses, patients, and healthcare organizations are discussed in this bibliography. This demonstrates the significance of having thorough training, close supervision, and clear lines of communication to prevent accidents involving robots.

References

Al Nemari, M., & Waterson, J. (2022). The introduction of robotics to an outpatient dispensing and medication management process in Saudi Arabia: A pharmacy-led multidisciplinary six sigma performance improvement project. (Preprint). JMIR Human Factorshttps://doi.org/10.2196/37905 

Berrezueta-Guzman, J., Robles-Bykbaev, V. E., Pau, I., Pesantez-Aviles, F., & Martin-Ruiz, M.-L. (2022). Robotic technologies in ADHD care: Literature review. IEEE Access10, 608–625. https://doi.org/10.1109/access.2021.3137082 

Carros, F., Schwaninger, I., Preussner, A., Randall, D., Wieching, R., Fitzpatrick, G., & Wulf, V. (2022). Care workers making use of robots: Results of a three-month study on human-robot interaction within a care home. CHI Conference on Human Factors in Computing Systemshttps://doi.org/10.1145/3491102.3517435 

El-Said, O., & Al Hajri, S. (2022). Are customers happy with robot service? Investigating satisfaction with robot service restaurants during the COVID-19 pandemic. Heliyon8(3). https://doi.org/10.1016/j.heliyon.2022.e08986 

Foster, S. (2023). Keeping our patients safe. British Journal of Nursing32(2), 91–91. https://doi.org/10.12968/bjon.2023.32.2.91 

Grote, T., & Berens, P. (2023). Uncertainty, evidence, and the integration of machine learning into medical practice. The Journal of Medicine and Philosophy: A Forum for Bioethics and Philosophy of Medicine48(1), 84–97. https://doi.org/10.1093/jmp/jhac034 

Higgins, O., Short, B. L., Chalup, S. K., & Wilson, R. L. (2023). Artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health: An integrative review. International Journal of Mental Health Nursinghttps://doi.org/10.1111/inm.13114 

Holland, J., Kingston, L., McCarthy, C., Armstrong, E., O’Dwyer, P., Merz, F., & McConnell, M. (2021). Service robots in the healthcare sector. Robotics10(1), 47. https://doi.org/10.3390/robotics10010047 

Mayer, C., Sivatheerthan, T., Mütze-Niewöhner, S., & Nitsch, V. (2023). Sharing leadership behaviors in virtual teams: Effects of shared leadership behaviors on team member satisfaction and productivity. Team Performance Management: An International Journal29(1/2). https://doi.org/10.1108/tpm-07-2022-0054 

Mennella, C., Maniscalco, U., De Pietro, G., & Esposito, M. (2023). The Role of Artificial Intelligence in Future Rehabilitation Services: A systematic literature review. IEEE Access, 1–1. https://doi.org/10.1109/access.2023.3236084 

Moreira, A., Duarte, J., & Santos, M. F. (2023). Case study of multichannel interaction in healthcare services. Information14(1), 37. https://doi.org/10.3390/info14010037 

Mukherjee, S., Baral, M. M., Pal, S. K., Chittipaka, V., Roy, R., & Alam, K. (2022, May 1). Humanoid robot in healthcare: A Systematic Review and Future Research Directions. IEEE Xplore. https://doi.org/10.1109/COM-IT-CON54601.2022.9850577 

Osaka, K., Shimomoto, R., Tanioka, R., Ito, H., Yasuhara, Y., Kai, Y., & Tanioka, T. (2023). Differences in healthcare professionals’ perceptions of robots’ usefulness, challenges, cautions, ethical issues, and intermediary roles by the experience of robot use. 2023 IEEE/SICE International Symposium on System Integration (SII)https://doi.org/10.1109/sii55687.2023.10039341 

Patel, S., Slee, A., Avery, A., & Sheikh, A. (2023). Realizing the potential of shared digital medication records. BMJ380https://doi.org/10.1136/bmj.o3068 

Salcudean, S. E., Moradi, H., Black, D. G., & Navab, N. (2022). Robot-assisted medical imaging: A review. Proceedings of the IEEE110(7), 951–967. https://doi.org/10.1109/JPROC.2022.3162840 

Soriano, G. P., Yasuhara, Y., Ito, H., Matsumoto, K., Osaka, K., Kai, Y., Locsin, R., Schoenhofer, S., & Tanioka, T. (2022). Robots and robotics in nursing. Healthcare10(8). https://doi.org/10.3390/healthcare10081571 

Straw, I., & Tanczer, L. (2023). Safeguarding patients from technology-facilitated abuse in clinical settings: A narrative review. PLOS Digital Health2(1). https://doi.org/10.1371/journal.pdig.0000089 

Tavakoli, M., Carriere, J., & Torabi, A. (2020). Robotics, smart wearable technologies, and autonomous intelligent systems for healthcare during the COVID‐19 pandemic: An analysis of the state of the art and future vision. Advanced Intelligent Systems2(7). https://doi.org/10.1002/aisy.202000071 

Teng, R., Ding, Y., & See, K. C. (2022). Use of Robots in Critical Care: Systematic Review. Journal of Medical Internet Research24(5). https://doi.org/10.2196/33380 

Wilson, R. L., Higgins, O., Atem, J., Donaldson, A. E., Gildberg, F. A., Hooper, M., Hopwood, M., Rosado, S., Solomon, B., Ward, K., & Welsh, B. (2023). Artificial intelligence: An eye cast towards the mental health nursing horizon. International Journal of Mental Health Nursinghttps://doi.org/10.1111/inm.13121 

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