Assignment Task:
1. Explain the concept of a knowledge worker.
2. Define and explain nursing informatics and highlight the role of a nurse leader as a knowledge worker.
3. Include one slide that visually represents the role of a nurse leader as knowledge worker.
4. Your PowerPoint should include the hypothetical scenario you originally shared in the Discussion Forum. Include your examination of the data that you could use, how the data might be accessed/collected, and what knowledge might be derived from that data. Be sure to incorporate feedback received from your colleagues' responses.
This criterion is linked to a Learning Outcome. Develop a 5- to 6-slide PowerPoint presentation that addresses the following:
- Explain the concept of a knowledge worker.
- Written Expression and Formatting - APA: The reference list and image attribution list follow correct APA format
- Define and explain nursing informatics.
- Develop a graphic visual representation of the role of the nurse leader as a knowledge worker.
- On the slide, include an explanation of the role.
This criterion is linked to a Learning Outcome. Present the hypothetical scenario you originally shared in the Discussion Forum. Include your examination of the data you could use, how the data might be accessed/collected, and what knowledge might be derived from the data. Be sure to incorporate feedback received from your colleagues' replies.
This criterion is linked to a Learning Outcome PowerPoint presentation: The presentation is professional; images are appropriately attributed; images are clear. The presentation text is readable. The presentation flows well and is presented in a logical order.
This is my hypothetical scenario you originally shared in the Discussion Forum.
Patient Outcomes in a Hospital Setting.
Describe the data that could be used and how the data might be collected and accessed.
A hospital's ability to improve patient outcomes
A hospital's ability to improve patient outcomes depends on its ability to gather and process different kinds of data. Clinical Information Medical history, diagnosis, treatments, and results are all included in patient records. Vital signs include body temperature, heart rate, and blood pressure. Lab Results: Results from imaging tests, blood tests, etc. Understanding patient flow and bed management is aided by knowing admission and discharge times. Staffing Levels: Schedules and the ratio of nurses to patients. Nursing informatics incorporates computer, information, and nursing science to manage and communicate data, information, knowledge, and wisdom in nursing practice. (McGonigle & Mastrian 2022).
What knowledge might be derived from that data?
Creating guidelines based on effective treatment regimens is considered a best practice. In a hospital context, analyzing the gathered data can produce insightful information that can enhance patient outcomes. The following knowledge could be obtained: Determine which treatments for a given ailment result in the best patient outcomes through outcome analysis. Predictive analytics: predicting patient decline and taking early action based on test data and vital signs. Risk stratification: determining which patients are at higher risk and require closer observation. Through a methodical process that includes data gathering, information synthesis, and knowledge development, data in the field of nursing informatics can be transformed into relevant knowledge.
Depending on the results and acuity of the patient, the nurse-to-patient ratio can be changed. Examining admittance and discharge schedules to optimize patient flow. Practice improvement is the practice of finding and eliminating bottlenecks in healthcare procedures and examining financial information to identify areas for cost savings without sacrificing the standard of care. Analyzing patient input to enhance patient satisfaction and care delivery is known as feedback analysis. Adapting treatment programs in response to patient input and preferences. Patient education aims to enhance health outcomes by identifying knowledge gaps and offering focused instruction. Using data better facilitates communication between medical professionals and patients. Understanding patient population health patterns to guide public health measures. (Forman et al, 2020).
All data is focused on ensuring adherence to healthcare laws and enhancing patient safety procedures. Hospitals may gather data to guide them in making decisions that optimize operations, improve overall patient satisfaction, and improve patient care by turning raw data into actionable knowledge. Through the ongoing generation and use of knowledge, nurses and other healthcare workers can use data to improve patient care, health outcomes, and the nursing profession. (McGonigle & Mastrian, 2021).
How would a nurse leader use clinical reasoning and judgment in the formation of knowledge from this experience?
Using clinical judgment and logic to turn data into actionable knowledge, a nurse leader must collect extensive data from multiple sources, including clinical results, patient feedback, and electronic health records. Consider the patient's background, the clinical environment, and any particular medical circumstances while interpreting the data. Recognize trends and patterns in the data that point to success or areas of concern. Nurses use carefully chosen technology to stimulate critical thinking and attention. This contributes to realizing this potential by highlighting several significant chronic disease-related symptoms and health status areas. (Forman et al, 2020).
The nurse leader also assesses the data's authenticity and dependability, raising concerns about any irregularities or contradictions to create a comprehensive picture of patient treatment and results and compiling data from several sources. Among the many fundamental goals of nursing are the preservation, enhancement, and optimization of human health and potential; diagnosis and treatment of human reaction to pain; the defense of individuals, families, communities, and populations; and the prevention of disease and harm. (Topaz & Pruinelli, 2020).
Hospitals can monitor and improve patient outcomes by recognizing patterns, optimizing resource use, and improving patient care experiences using certain data types and gathering methods. By applying clinical reasoning and judgment, a nurse leader can effectively transform data into knowledge, improving patient outcomes and enhancing healthcare practices. Analytics platforms are trend and outcome analysis instruments that help with decision-making. Nurses assist in pinpointing areas needing development by data collecting, which will be used to explore a wide range of health outcomes across various populations; thisdata type is valuable for observational research.
Reference:
Topaz, M., & Pruinelli, L. (2020). Big data and nursing: Implications for the future. Journal of Nursing Scholarship, 52(5), 462-470.
McGonigle, D., & Mastrian, K. G. (2022). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett Learning.
Forman, T. M., Armor, D. A., & Miller, A. S. (2020). A review of clinical informatics competencies in nursing to inform best practices in education and nurse faculty development. Nursing education perspectives, 41(1), E3-E7.