NURS FPX 4040 Assessment 3 Annotated Bibliography on Technology in Nursing

Sample Answer

Health care delivery’s primary purpose is ensuring patients receive timely and efficient care. Over time, technology use has intensified as care providers strive to achieve more effectiveness, timeliness, and patient satisfaction. Nursing research has explored the appropriateness of various technologies, including telehealth, electronic health records, mobile apps, and others. Exploring this research helps nurses understand informatics from multiple dimensions and its promise in the evolving practice. The purpose of this paper is to analyze the impact of artificial intelligence in patient care through an annotated bibliography.

Introduction of the Health Care Technology

Artificial intelligence (AI) continues to be an integral component of health care as care providers seek to improve the delivery of care in organizations and communities. Bajwa et al. (2021) described AI as the science and engineering of intelligent machines that imitate human cognitive functions. Such functions in nursing include learning and problem-solving. AI’s design and advanced nature allow it to play a fundamental role in anticipating problems, recognizing patterns, and recommending diagnoses depending on the patient’s health condition. The most interesting thing about AI is its potential to execute functions in a similar or better capacity than humans. Therefore, it is well-positioned to replace or support nursing professionals to ensure high-quality, seamless, and timely care.

Research articles to inform nurses on various topics should be credible, up-to-date, and relevant. As a result, I searched for appropriate articles about AI from the leading nursing databases, such as CINAHL, PubMed, Medline, and the Cochrane Library. Google Scholar was also crucial in the search process, providing easy access to peer-reviewed articles. I used search terms such as “artificial intelligence in health care,” “artificial intelligence in patient care,” and “benefits of artificial intelligence in nursing.” The search was limited to peer-reviewed articles relevant to the topic and published within the last five years.

Annotated Bibliography

• Ali, O., Abdelbaki, W., Shrestha, A., Elbasi, E., Alryalat, M. A. A., & Dwivedi, Y. K. (2023). A systematic literature review of artificial intelligence in the healthcare sector Benefits, challenges, methodologies, and functionalities. Journal of Innovation & Knowledge, 8(1), 100333. https //doi.org/10.1016/j.jik.2023.100333

Health care professionals can maximize technology use if they adequately understand their potential and limitations. In this article, Ali et al. (2023) conducted a comprehensive review of AI’s benefits, challenges, methodologies, and functionalities in health care delivery. The authors demonstrate AI as a technology outperforming nursing professionals in performing patient-related tasks and administrative functions. To the patient, AI is associated with benefits such as accurate diagnosis, timely treatment, and supporting self-monitoring. Improved care quality through AI-enabled tools is achieved through data collection, analysis, and informed clinical decision-making.

The technology is crucial in nursing since it improves professionals’ capacity to improve health outcomes through data analytics. The interdisciplinary care team benefits from information availability and sharing through tech-based tools for collaborative processes. To save costs and enable consistent high-quality care, health care organizations should explore strategies to address AI-related challenges such as data integration and privacy issues. The article reviews AI use in clinical practice multi-dimensionally, and nurses should read it for a better understanding of AI capabilities and measures to optimize functionality.

• Al Kuwaiti, A., Nazer, K., Al-Reedy, A., Al-Shehri, S., Al-Muhanna, A., Subbarayalu, A. V., … & Al-Muhanna, F. A. (2023). A review of the role of artificial intelligence in healthcare. Journal of Personalized Medicine, 13(6), 951. https //doi.org/10.3390/jpm13060951

AI has numerous applications that impact key aspects of care, such as access, interactions, and timeliness. In this article, the authors focus on the role of AI tools in supporting virtual care, patient engagement, medical imaging, and other administrative functions. Al Kuwaiti et al. (2023) illustrate how AI can be used to detect clinical conditions, provide virtual care, and spot medical prescription errors. In the health context, high patient safety is achieved by integrating tools and systems that help providers manage processes better and prevent errors. The quality improves through improved data analysis and better patient-provider engagement achieved through AI.

These higher capacities underline the significance of AI in nursing practice, while the interdisciplinary health care team benefits from AI-enabled communication and tools for patient monitoring. The article is a comprehensive review of the critical role of AI in health care revolution. It also explains the importance of AI governance to reduce privacy and safety challenges that inhibit its effectiveness. Health care professionals should read it for a better understanding of the capacity of AI in patient care and how to govern it to maximize its potential.

• Alowais, S. A., Alghamdi, S. S., Alsuhebany, N., Alqahtani, T., Alshaya, A. I., Almohareb, S. N., … & Albekairy, A. M. (2023). Revolutionizing healthcare the role of artificial intelligence in clinical practice. BMC Medical Education, 23(1), 689. https //doi.org/10.1186/s12909-023-04698-z

In this article, the authors demonstrate AI as a technology pivotal in transforming heath care in various capacities, including patient care and quality of life. Broadly, the article focuses on the critical role of AI in clinical practice and the benefits associated with its integration into patient care. As Alowais et al. (2023) explain, health professionals can use AI to diagnose ailments, develop treatment plans, and make clinical decisions. Better patient safety through the technology is realized through improved diagnostic accuracy, which reduces the probability of medical errors significantly.

Besides high accuracy, the authors stress that AI helps to reduce time and save costs in a higher capacity than traditional methods. To benefit nursing and the interdisciplinary health care team, AI facilitates precision medicine and clinical decision support, enabling teams to tailor care according to patient needs. Overall, the article provides a comprehensive summary of AI uses in health care, including diagnosis, treatment, and clinical decision-making. Health care practitioner should read it to improve their knowledge of the effective use of AI and how it can support them to achieve higher outcomes.

• Bajwa, J., Munir, U., Nori, A., & Williams, B. (2021). Artificial intelligence in healthcare transforming the practice of medicine. Future Healthcare Journal, 8(2), e188–e194. https //doi.org/10.7861/fhj.2021-0095

AI is a powerful tool for improved patient outcomes but could be disruptive depending on its use. In this article, Bajwa et al. (2021) reviewed the recent breakthroughs in AI applications in health care and how to build reliable and safe systems. From a patient perspective, AI is demonstrated as using systems that learn and solve problems in health care. Such systems operate intelligently and adaptively to translate patients’ medical records and provide a likely diagnosis. AI’s ability to learn and recognize patterns is crucial for high-quality care since it improves the accuracy of illness detection.

Accuracy further saves medical costs by preventing costly diagnostic and prescription errors. In nursing, AI is the foundation of data-driven care, enabling interdisciplinary teams to collect, share, and use data for improved clinical decisions. The authors further underlined the importance of human-centered AI systems to make the technology more reliable and effective. The article describes how to build AI-augment systems in health care, besides explaining its benefits to patients, nurses, and care facilities. Overall, it is a valuable resource for health care practitioners to improve their knowledge of AI’s role in transforming the practice of medicine and what informatics implies in present and future practice.

Summary of Recommendation

As health care organizations continue integrating technology into patient care, the role of AI must be considered. The reviewed research (Ali et al., 2023; Alowais et al., 2023) demonstrates that better patient safety and high-care quality can be achieved through improved diagnosis, treatment, and decision-making associated with AI integration into patient care. Interdisciplinary teams further benefit from data collection, sharing, and processing to improve interactions and care approaches (Al Kuwaiti et al., 2023; Bajwa et al., 2021). However, AI’s effectiveness depends on various organizational factors, including the ability to govern AI, supporting infrastructure, and users’ knowledge to process and interpret data. As a result, a culture that supports technology use and empowers users is crucial to ensure the safe and effective use of AI.

When considering opportunities for care improvement, health care facilities should prioritize AI and support its adoption and sustained use. The benefits associated with its use justify its implementation in a health care setting seeking to deliver high outcomes and empower its workforce to achieve the quadruple aim (Bajwa et al., 2021). Through AI, health care organizations can save costs by reducing medical errors and maximizing the promise of precision medicine. Patient satisfaction also improves through accurate diagnosis and treatment. The interdisciplinary team benefits from data availability and the potential of AI tools to augment human capacity. This reduces workload, leading to high satisfaction and retention.

Conclusion

Health care technologies benefit patients, nursing professionals, and health care organizations differently. AI can potentially improve diagnosis and treatment, leading to high-quality care and patient safety. Accuracy reduces medical errors and associated costs, goals health care professionals and leaders should strive to achieve. For improved capacity for AI, organizations should empower users and invest in systems that reduce privacy and security risks associated with AI integration into patient care.

References

• Ali, O., Abdelbaki, W., Shrestha, A., Elbasi, E., Alryalat, M. A. A., & Dwivedi, Y. K. (2023). A systematic literature review of artificial intelligence in the healthcare sector Benefits, challenges, methodologies, and functionalities. Journal of Innovation & Knowledge, 8(1), 100333. https //doi.org/10.1016/j.jik.2023.100333
• Al Kuwaiti, A., Nazer, K., Al-Reedy, A., Al-Shehri, S., Al-Muhanna, A., Subbarayalu, A. V., … & Al-Muhanna, F. A. (2023). A review of the role of artificial intelligence in healthcare. Journal of Personalized Medicine, 13(6), 951. https //doi.org/10.3390/jpm13060951
• Alowais, S. A., Alghamdi, S. S., Alsuhebany, N., Alqahtani, T., Alshaya, A. I., Almohareb, S. N., … & Albekairy, A. M. (2023). Revolutionizing healthcare the role of artificial intelligence in clinical practice. BMC Medical Education, 23(1), 689. https //doi.org/10.1186/s12909-023-04698-z
• Bajwa, J., Munir, U., Nori, A., & Williams, B. (2021). Artificial intelligence in healthcare transforming the practice of medicine. Future Healthcare Journal, 8(2), e188–e194. https //doi.org/10.7861/fhj.2021-0095