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Posted: August 30th, 2023
The Integration of Nursing Informatics in Clinical Decision-Making
Post a description of the focus of your scenario. Describe the data that could be used and how the data might be collected and accessed. What knowledge might be derived from that data? How would a nurse leader use clinical reasoning and judgment in the formation of knowledge from this experience?
BY DAY 6 O
REQUIRED READING
• McGonigle, D., & Mastrian, K. G. (2022). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett Learning.
o Chapter 1, “Nursing Science and the Foundation of Knowledge” (pp. 7–17)
o Chapter 2, “Introduction to Information, Information Science, and Information Systems” (pp. 21–32)
o Chapter 3, “Computer Science and the Foundation of Knowledge Model” (pp. 35–64)
The Integration of Nursing Informatics in Clinical Decision-Making: A Deeper Insight
In the dynamic landscape of healthcare, the amalgamation of nursing science and technology is now more crucial than ever. Nursing informatics, a field that bridges the gap between healthcare, information science, and technology, is progressively transforming the way nurses approach patient care, enhancing clinical reasoning and judgment. In this article, we delve into the significance of nursing informatics in clinical decision-making, exploring how data can be harnessed, and how nurse leaders employ clinical reasoning to derive knowledge from this experience.
The Intersection of Nursing Science and Information Technology
As underscored in McGonigle and Mastrian’s work “Nursing Informatics and the Foundation of Knowledge,” nursing informatics represents the convergence of nursing science and information technology. This integration leverages the power of data and technology to optimize patient care, foster efficient communication, and streamline healthcare operations. With data-driven insights at their disposal, nurses can make well-informed decisions that lead to improved patient outcomes.
Harnessing Data for Knowledge Generation
In the contemporary healthcare ecosystem, data is the cornerstone of evidence-based practice. Nursing informatics facilitates the collection, analysis, and interpretation of vast amounts of data from diverse sources. Electronic health records, patient monitoring systems, and wearable health devices generate a wealth of information that nurses can tap into. For instance, real-time data from patient monitors can alert nurses to critical changes in a patient’s condition, prompting immediate intervention.
Accessing Data and Deriving Knowledge
Accessing this data involves navigating electronic health record systems, data repositories, and information databases. These platforms provide nurses with a panoramic view of a patient’s medical history, medication regimens, allergies, and diagnostic results. By scrutinizing this data, nurses can uncover trends, identify patterns, and predict potential complications. For instance, recognizing a recurrent pattern of elevated blood pressure in a diabetic patient might prompt nurses to modify their care plan to prevent adverse events.
The Role of Clinical Reasoning and Judgment
In the formation of knowledge from this data-rich experience, nurse leaders play a pivotal role in employing clinical reasoning and judgment. Clinical reasoning involves the process of critically analyzing data, drawing connections between different pieces of information, and arriving at sound conclusions. Nurse leaders, with their extensive experience, contextual understanding, and ability to consider multifaceted variables, provide valuable insights into complex patient scenarios.
Real-World Examples
For instance, imagine a nurse leader who, after analyzing data from various patients with similar conditions, identifies an innovative approach to pain management that yields superior results. This newfound knowledge can be disseminated among the nursing staff, leading to improved pain control for a broader patient population.
Conclusion
Nursing informatics stands as a pivotal component of modern healthcare, merging nursing science with technology to drive evidence-based practice. The adept utilization of data, combined with the clinical reasoning and judgment of nurse leaders, culminates in enhanced patient care and outcomes. As we progress further into the digital age, nursing informatics will continue to be a linchpin in fostering a data-driven and patient-centric healthcare landscape.
References:
McGonigle, D., & Mastrian, K. G. (2022). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett Learning.
Rutherford, M. A. (2016). Standardized Nursing Language: What Does It Mean for Nursing Practice?. Online Journal of Issues in Nursing, 22(1).
Topaz, M., Ronquillo, C., & Pruinelli, L. (2018). Nurse Informaticians Report Low Satisfaction and Multi-level Concerns with Electronic Health Records: Results from an International Survey. AMIA Summits on Translational Science Proceedings, 2017, 230.
Wilbanks, B. A., & Mahon, M. M. (2016). Nurse Practitioners’ Attitudes Toward Health Information Exchange: A Comparison of Users and Nonusers. The Journal for Nurse Practitioners, 12(9), 609-615.
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