Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing

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Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing

Artificial Intelligence (AI) in healthcare presents a compelling and innovative approach to improving patient care and outcomes. The choice of this specific technology is because it has the ability to completely transform the way that healthcare is provided. Artificial intelligence (AI) can swiftly and accurately evaluate large volumes of complicated data, supporting medical practitioners with diagnosis, treatment planning, and patient outcome prediction (Choudhury & Asan, 2020). What makes AI in healthcare particularly intriguing is its ability to learn and adapt continuously. It is a dynamic tool for addressing the ever-changing landscape of medical knowledge and patient needs.

In researching this topic, I employed a systematic approach to gather relevant information. I utilized prominent databases such as PubMed, MEDLINE, and IEEE Xplore to access conference papers, scholarly journals and peer-reviewed articles. The terms I employed to search included variations of “artificial intelligence,” “machine learning,” “healthcare,” “diagnosis,” “treatment,” and “patient outcomes.” I employed these terms to generate a broad search in an effort to acquire extensive information about the utilization and effects of AI in healthcare settings. Through this research approach, I was able to investigate different perspectives and collect data to support the creation of an evidence-based proposal about the integration of AI in nursing practice.

Annotated Bibliography

Buchanan, C., Howitt, M. L., Wilson, R., Booth, R. G., Risling, T., & Bamford, M. (2020). Predicted influences of artificial intelligence on the domains of nursing: a scoping review. JMIR nursing, 3(1), e23939. https://doi.org/10.2196/23939

This article aims to provide insights into how AI technologies are expected to impact different aspects of nursing care and identify potential areas for future research and development. The scoping review suggests that AI can enhance patient safety by improving diagnostic accuracy, facilitating early detection of health issues, and optimizing treatment plans through personalized interventions. Additionally, AI-based tools can support nurses in clinical decision-making, reducing errors and improving overall care quality. AI technologies offer opportunities for nurses to streamline workflows, enhance communication and collaboration with other healthcare professionals, and ultimately deliver more efficient and effective patient care.

This article was chosen because it offers an in-depth overview of the possible effects of AI on nursing practice, offering valuable insights for healthcare practitioners to anticipate and prepare for integrating AI technologies into clinical settings. By understanding the predicted influences of AI on nursing domains, healthcare professionals can proactively adapt their practices and workflows to leverage the benefits of AI while addressing potential challenges.

Choudhury, A., & Asan, O. (2020). Role of artificial intelligence in patient safety outcomes: systematic literature review. JMIR medical informatics, 8(7), e18599. https://doi.org/10.2196/18599

This article synthesizes existing evidence and insights into how AI technologies enhance patient safety within healthcare settings. The systematic review highlights various AI applications, such as predictive analytics, decision support systems, and natural language processing, which play crucial roles in identifying and mitigating potential risks to patient safety. By leveraging AI algorithms, healthcare providers can proactively identify adverse events, predict patient deterioration, and implement preventive measures to improve patient outcomes.

AI is relevant to multidisciplinary healthcare teams and nursing practice because of its potential to augment clinical decision-making processes, improve care coordination, and optimize resource utilization. Artificial intelligence (AI) technologies are a significant resource for nurses as they may automate routine duties, provide real-time insights, and promote teamwork and communication.

This article was selected because it offers an in-depth and systematic evaluation of how artificial intelligence affects patient safety outcomes, offering valuable insights and evidence-based recommendations for healthcare practitioners. Healthcare workers may make informed decisions regarding incorporating AI technology into clinical practice to enhance patient care and outcomes by being aware of the impact and potential of AI in improving patient safety.

Lee, D., & Yoon, S. N. (2021). Application of artificial intelligence-based technologies in the healthcare industry: Opportunities and challenges. International journal of environmental research and public health, 18(1), 271. https://doi.org/10.3390/ijerph18010271

The article selected explores the use of artificial intelligence (AI)-based technologies in the healthcare sector, emphasizing the advantages and challenges encountered with their adoption. Artificial intelligence (AI) has the potential to enhance patient outcomes through the improvement of diagnostic accuracy, optimization of treatment programs, and early prediction of adverse events. AI can also help healthcare professionals find patterns and trends in patient data, which can result in more individualized and successful care interventions. AI-powered solutions can help nurses with a range of tasks, such as care coordination, decision-making, and patient monitoring. Furthermore, by offering a platform for data sharing and analysis across disciplines, artificial intelligence (AI) promotes collaboration among healthcare experts.

This article was selected for inclusion because of its thorough analysis, which addresses the practical issues and barriers that must be eliminated for AI technologies to be successfully implemented while offering insights into the potential advantages of AI technologies in enhancing patient care and safety.

Ng, Z. Q. P., Ling, L. Y. J., Chew, H. S. J., & Lau, Y. (2022). The role of artificial intelligence in enhancing clinical nursing care: A scoping review. Journal of Nursing Management, 30(8), 3654-3674. https://doi.org/10.1111/jonm.13425

This article explores how artificial intelligence (AI) can improve clinical nursing care by offering an in-depth review of the implications and applications of AI in nursing practice. Artificial intelligence (AI) technologies, including decision support systems and predictive analytics, have the potential to enhance patient outcomes by facilitating early deterioration identification, expediting treatment plans, and improving medication administration procedures. Furthermore, AI’s capacity to optimize workflows, support data-driven decision-making, and foster cooperation among healthcare professionals highlights how relevant it is to nursing practice and interdisciplinary healthcare teams.

The article was chosen because it offers an in-depth evaluation of artificial intelligence’s impact on nursing care and offers insightful information about the present and potential futures of AI integration in healthcare. Healthcare practitioners stand to benefit from this resource as it offers evidence-based perspectives on leveraging AI to enhance clinical practice, improve patient outcomes, and optimize healthcare delivery.

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. https://doi.org/10.2196/26522

This publication examines multiple applications of artificial intelligence (AI) in nursing care. The main objective of the study is to evaluate and analyze potential applications of AI technology that could improve outcomes for patients and nursing practice.
The source emphasizes how AI could help with clinical decision-making, facilitating early detection of health issues, and optimizing care processes to minimize errors and improve overall patient well-being. AI’s relevance to multidisciplinary healthcare teams and nursing practice is to offer opportunities for nurses to leverage data-driven insights, streamline administrative tasks, and collaborate effectively with other healthcare professionals to deliver comprehensive and personalized patient care.

This article was chosen because it provided a succinct analysis of AI uses in nursing care. It provides healthcare professionals with insightful knowledge about the possible advantages and limitations of using AI in clinical practice. The practical implications this resource offers for integrating AI technologies into nursing operations and eventually improving patient care and safety render it a vital resource for healthcare practitioners.

Summary of Recommendation

Tying together the key learnings from the five publications on artificial intelligence (AI) in healthcare, several consistent themes emerge. Firstly, AI technologies significantly impact patient safety and quality of care by improving diagnostic accuracy, facilitating early detection of health issues, and optimizing treatment plans (Lee & Yoon, 2021). Additionally, AI enhances nursing practice and interdisciplinary healthcare teams by supporting clinical decision-making, streamlining workflows, and promoting collaboration among healthcare professionals.

Organizational factors play a crucial role in selecting and implementing technology in healthcare settings. Factors such as organizational policies, resources, culture, commitment, and training programs influence the adoption and integration of AI technologies. Healthcare organizations must encourage innovation in their workforce, give staff members sufficient resources and education, and give them the opportunity to embrace and implement new technologies.

Justifying the implementation and use of AI technology in healthcare settings requires considering its impact on various stakeholders. Literature-based evidence demonstrates the potential advantages of AI in enhancing the productivity, satisfaction, and retention of multidisciplinary teams as well as in patient care and satisfaction(Al Kuwaiti et al., 2023). By leveraging AI technologies, healthcare organizations can enhance efficiency, effectiveness, and quality of care delivery, ultimately improving patient outcomes and satisfaction while optimizing resource utilization and promoting a positive work environment for healthcare professionals.

References

Al Kuwaiti, A., Nazer, K., Al-Reedy, A., Al-Shehri, S., Al-Muhanna, A., Subbarayalu, A. V., Al Muhanna, D., & 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

Buchanan, C., Howitt, M. L., Wilson, R., Booth, R. G., Risling, T., & Bamford, M. (2020). Predicted influences of artificial intelligence on the domains of nursing: sa scoping review. JMIR nursing, 3(1), e23939. https://doi.org/10.2196/23939

Choudhury, A., & Asan, O. (2020). Role of artificial intelligence in patient safety outcomes: systematic literature review. JMIR medical informatics, 8(7), e18599. https://doi.org/10.2196/18599

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Question

Write a 4–6 page annotated bibliography where you identify peer-reviewed publications that promote the use of a selected technology to enhance quality and safety standards in nursing.

Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing