Study Guide For Final Exam NURS-513 - Theories In Nursing Re

Study Guide for final exam NURS-513- Theories in Nursing review the fol

Review the following concepts and be sure you know the definitions: Metaparadigm, Nursing Paradigm, Philosophy of Nursing, Empiric Indicators, Middle Range Theories, Theoretical Framework, Learning Theory, Cognitive Learning Theory, Complexity Science (CS). Review the different eras—such as Curriculum Era, Graduate Education Era, and so forth. Understand the main concepts of theorists in Models 6-10 and the following: Hall, Wiedenbach, Henderson, Katherine Kolcaba’s Comfort Theory, Afaf Meleis’ Transition Theory, Kristen Swenson’s Caring Theory, Modeling and Role-Modeling by Erickson, Joanne Duffy’s Quality Caring Model.

Paper For Above instruction

This comprehensive research paper aims to synthesize and analyze several advanced concepts in nursing theory, data management, and sustainable IT practices. The paper is divided into three distinct prompts, each requiring extensive exploration supported by scholarly sources, culminating in a cohesive, well-structured manuscript approximately 9-12 pages long, including the title and references pages.

The first prompt focuses on "Data Warehouse Architecture." It explores the core components that constitute a data warehouse's architecture, emphasizing the various data transformation processes necessary for data preparation. Additionally, the discussion encompasses current key trends shaping data warehousing, such as advancements in cloud integration, real-time data processing, and the utilization of machine learning algorithms for data analysis.

The second prompt addresses "Big Data," requiring a detailed understanding of the concept and practical examples from personal or professional experiences. It probes how big data presents demands on organizational data management systems, including issues related to storage, processing speeds, data security, and analytical capabilities. This section highlights the importance of scalable infrastructure and intelligent data management strategies to handle the surge in data volume and variety.

The third prompt examines "Green Computing," emphasizing environmental sustainability within Information Technology. It discusses strategies organizations can employ to make data centers environmentally friendly, such as energy-efficient hardware, renewable energy sources, cooling innovations, and virtualization technologies. A case study of a successful organization implementing green computing strategies will be presented, with a link to the referenced source. The discussion emphasizes the economic and ecological benefits of adopting green IT practices.

The introduction offers an overview of the significance of integrating theoretical and practical knowledge in nursing and information technology to improve healthcare outcomes and organizational sustainability. The conclusion synthesizes insights from all three prompts, emphasizing the interconnectedness of data management, technological sustainability, and nursing theory in advancing modern healthcare practices.

References

  • Chen, M., Mao, S., & Liu, Y. (2014). Big data: A survey. Mobile Networks and Applications, 19(2), 171-209.
  • Kohli, R., & LaPointe, D. (2019). Green IT: Strategies and practices for sustainability. International Journal of Information Management, 45, 23-38.
  • Inmon, W. H. (2005). Building the data warehouse (4th ed.). Wiley.
  • Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Prentice Hall.
  • Ng, K. (2017). The evolution of data warehousing: From traditional to cloud-based architectures. Journal of Data Technology, 16(3), 56-66.
  • Meadows, D. H. (2008). Thinking in systems: A primer. Chelsea Green Publishing.
  • Stonebraker, M., & Kemnitz, G. (2019). The data warehouse and the mobility revolution. MIS Quarterly, 43(4), 1029-1050.
  • Wiedenbach, E. (1965). The helping art of nursing. Springer Publishing Company.
  • Ward, J., & Barker, M. (2014). Why choose green IT? Journal of Cleaner Production, 102, 14-18.
  • Wilson, C., & Sheldon, T. (2018). Implementing sustainable practices in data centers. Sustainability, 10(7), 2396.

Related Assignments