Resources McGonigle, D., & Mastrian, K. G. (2022). Nursing I ✓ Solved

Resources McGonigle, D., & Mastrian, K. G. (2022). Nursing in

To prepare: Review the concepts of technology application as presented in the resources. Reflect on how emerging technologies such as artificial intelligence (AI) may help fortify nursing informatics as a specialty by leading to increased impact on patient outcomes or patient care efficiencies. This should be a nursing information systems project, or at least something nurses use regularly.

Examples of ideas for projects include Nursing Staffing Planning System, Patient Acuity System, Incident Tracking System (electronic), eMAR (electronic Medication Administration Record), Nursing Documentation System, and Nursing Alerts in the EHR. Often, this clinical system is something you will purchase from a vendor or might be something your organization builds with your IT staff. If unsure about your idea, you can email for clarification. Note: AI is a branch of computer science and is not a Nursing Project Proposal. Your project should not be to "implement AI," but it could be a component of the nursing system.

Paper For Above Instructions

Nursing informatics is a critical specialty that combines nursing science with information management and analytical sciences to facilitate the optimal use of information, information systems, and technology in the nursing practice. In the context of the evolving healthcare landscape, emerging technologies such as artificial intelligence (AI) have the potential to significantly enhance nursing informatics, leading to improved patient outcomes and greater efficiencies in patient care. This paper explores the role of AI as a tool within nursing informatics projects, focusing on the development of a Nursing Staffing Planning System as a practical example.

Understanding Nursing Informatics

Nursing informatics integrates data, information, and knowledge to support patients, nurses, and other providers in their decision-making across the continuum of healthcare. According to McGonigle and Mastrian (2022), the core of nursing informatics lies in its ability to improve care delivery through data analytics and technology. As healthcare becomes increasingly technology-driven, it's crucial for nursing professionals to leverage these advancements to enhance their practice and patient care.

The Role of Emerging Technologies

Emerging technologies, particularly AI, provide unprecedented opportunities for enhancing nursing informatics. AI can analyze vast amounts of data and pinpoint trends, allowing for more informed decisions regarding patient care (Ng, Alexander, & Frith, 2018). For instance, AI-powered predictive analytics can forecast patient needs based on historical data, which can be pivotal in staffing decisions and resource allocation.

Nursing Staffing Planning System

One proposed project is the development of a Nursing Staffing Planning System. This system would utilize AI algorithms to analyze patient acuity and staff levels to optimize nurse assignments. The goal is to create a more efficient staffing model that not only meets regulatory requirements but also enhances patient care outcomes. By assessing factors like patient condition, expected length of stay, and nurse competencies, the system can suggest optimal nurse-to-patient ratios.

Project Goals and Objectives

The primary goal of the Nursing Staffing Planning System is to improve the quality of patient care while ensuring adequate nurse staffing levels. By leveraging AI capabilities, the project aims to:

• Reduce staff burnout by ensuring equitable nurse assignments.
• Enhance patient satisfaction by providing timely and appropriate care.
• Optimize resource allocation to meet patient needs effectively.

Implementation Strategy

The implementation of this system would involve multiple steps including:

1. Conducting a needs assessment to identify staffing challenges and solutions within the organization.
2. Engaging stakeholders including nursing staff, IT professionals, and hospital administrators to gather insights and ensure collaborative development.
3. Developing the system using a vendor capable of integrating AI capabilities into staffing tools.
4. Establishing an iterative testing process to ensure the system meets the practical needs of the nursing staff.
5. Training staff on using the system and facilitating ongoing support to address any challenges that arise post-implementation.

Impact on Patient Outcomes

Utilizing AI in a Nursing Staffing Planning System is expected to yield several benefits directly affecting patient outcomes. Improved nurse-to-patient ratios have been correlated with lower rates of patient mortality and fewer adverse events (Mosier, Roberts, & Englebright, 2019). By ensuring that nurses are not overwhelmed with excessive patient assignments, the quality of care can improve, leading to better health outcomes for patients.

Challenges and Considerations

While the potential for AI in nursing informatics is significant, several challenges must be considered. Issues such as data privacy, the accuracy of AI algorithms, and the need for continuous updates and training are critical to the success of the Nursing Staffing Planning System. Moreover, the integration of such advanced technologies must align with the values and ethical standards of nursing practice (Sipes, 2016).

Conclusion

The integration of AI technologies into nursing informatics offers transformative potentials, particularly in nursing staffing solutions. By developing a Nursing Staffing Planning System that employs AI, healthcare organizations can enhance care quality, promote staff well-being, and ultimately improve patient outcomes. As the landscape of healthcare continues to evolve, embracing these emerging technologies will be crucial in delivering efficient and effective nursing care.

References

• McGonigle, D., & Mastrian, K. G. (2022). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett Learning.
• Mosier, S., Roberts, W. D., & Englebright, J. (2019). A Systems-Level Method for Developing Nursing Informatics Solutions: The Role of Executive Leadership. JONA: The Journal of Nursing Administration, 49(11).
• Ng, Y. C., Alexander, S., & Frith, K. H. (2018). Integration of Mobile Health Applications in Health Information Technology Initiatives: Expanding Opportunities for Nurse Participation in Population Health. CIN: Computers, Informatics, Nursing, 36(5).
• Sipes, C. (2016). Project management: Essential skill of nurse informaticists. Studies in Health Technology and Informatics, 225.
• American Nurses Association. (2015). Nursing informatics: Scope and standards of practice. Author.
• HIMSS. (2020). Nursing informatics: Essential roles and skills for a successful career. Healthcare Information and Management Systems Society.
• American Medical Informatics Association. (2019). The impact of informatics on nursing care: A framework for understanding. Author.
• HealthIT.gov. (2021). Nursing Informatics for Public Health: Key Resources. Author.
• McBride, S., & Tietze, M. (2018). The Importance of Nursing Informatics Competencies in Enhancing Patient Care. The Journal of Nursing Administration, 48(5), 246-252.
• Thompson, M. C., & Watson, W. M. (2019). Artificial Intelligence in Healthcare: Opportunities and Challenges. Journal of Healthcare Management, 64(6), 400-406.