NURS FPX 6210 Assessment 1 Part 4: Analysis of Relevant Leadership Characteristics and Skills. Desired Leadership Traits and Skills for AI and SWOT Approaches

NURS FPX 6210 Assessment 1 Care Setting Environmental Analysis

Despite their distinct focus, both AI and SWOT approaches aim to identify areas of excellence and improvement, necessitating active collaboration and interaction with colleagues. They promote open dialogue, fostering a shared understanding of our current state and future aspirations within our care setting. However, their communication emphasis and approach differ significantly. AI encourages an appreciative, positive dialogue, emphasizing strengths, successful experiences, and potential for future growth, whereas the SWOT approach calls for a more balanced conversation, considering both positives and negatives, strengths and weaknesses, promoting candid discussions about challenges, threats, strengths, and opportunities faced by the organization (Garrett, 2022; Nilashi et al., 2023).

In the context of performance improvement projects utilizing both AI and SWOT approaches, different yet complementary sets of leadership characteristics and skills are desired. The AI-based project, creativity, and innovation are paramount as they drive the identification of best practices and the visualization of an ideal future state. Furthermore, data-driven decision-making is a critical skill as it grounds the vision in reality, ensuring that proposed improvements are feasible and effective (Garrett, 2022).  Conversely, in a SWOT-based project, strategic thinking is crucial to navigating the complexity of the care setting’s internal and external environments. The leader must possess a solid understanding of these dynamics to accurately identify strengths, weaknesses, opportunities, and threats. Adaptability also plays a vital role, allowing the leader to respond swiftly and effectively to emerging challenges and opportunities (Nilashi et al., 2023).

NURS FPX 6210 Assessment 1 Care Setting Environmental Analysis

Certain leadership characteristics and skills are beneficial regardless of the analytical approach. Both AI and SWOT demand collaboration, as these methods thrive on diverse perspectives and collective wisdom. Critical thinking is a shared competency, that enables leaders to discern essential information, make connections, and formulate robust improvement strategies. Adaptability, a necessary trait for SWOT-based projects, also proves beneficial in AI-focused initiatives. As the organization strives towards its envisioned future, the leader must adapt to the evolving reality, incorporating new data and experiences to refine the course of action continually. Lastly, a commitment to excellence is vital in both approaches. This trait ensures a steadfast focus on improving quality and safety, which are, after all, the central objectives of these analytical endeavors. This commitment propels the team towards realizing its shared vision, fostering a culture that values and pursues high-quality, safe, patient-centered care.

References

Averbuch, T., Sullivan, K., Sauer, A., Mamas, M. A., Voors, A. A., Gale, C. P., Metra, M., Ravindra, N., & Van Spall, H. G. C. (2022). Applications of artificial intelligence and machine learning in heart failure. European Heart Journal – Digital Health, 3(2), 311–322. https://doi.org/10.1093/ehjdh/ztac025 

Bartunek, J. M., & Balogun, J. (2022). Context and how it matters: Mobilizing spaces for organization-community sustainable change. Strategic Organization, 147612702211258. https://doi.org/10.1177/14761270221125819