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NURS FPX 6210 Assessment 1 Care Setting Environmental Analysis

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    NURS FPX 6210 Assessment 1 Care Setting Environmental Analysis

    Student Name

    Capella University

    NURS-FPX 6210 Leadership and Management for Nurse Executives

     Prof. Name

     Date

    Part 1: Appreciative Inquiry Discovery and Dream

    The Cleveland Clinic in Ohio has demonstrated commendable progress in elevating patient care and overall health quality. The organization’s successful journey in combatting sepsis, reducing hospital-acquired infections, and effectively managing chronic diseases underscores its commitment to excellence. Cleveland Clinic’s accomplishment in diminishing sepsis-related mortality is particularly noteworthy, showcasing the powerful integration of technology and healthcare. Utilizing real-time monitoring and predictive modeling tools, the Clinic achieved a significant 30% decrease in sepsis-related deaths over a five-year period (Fan et al., 2023).

    Additionally, Cleveland Clinic’s unwavering dedication to preventive measures, including hygiene protocols and targeted staff education, is evident in the substantial 20% reduction in hospital-acquired infections over three years (Ojanperä et al., 2022). Another exemplar of the Clinic’s innovation is in managing chronic diseases, specifically heart failure. Through the implementation of big data analytics, the organization identifies potential risks and tailors personalized care plans, resulting in a notable 15% reduction in hospital readmissions for heart failure patients over two years (Averbuch et al., 2022).

    These success stories underscore Cleveland Clinic’s commitment to patient safety and high-quality care, aligning with the organization’s quality and safety goals. While data validates these narratives, indicating declines in mortality rates and infection prevalence, there remain knowledge gaps and uncertainties, such as the specific methods employed in sepsis care predictive modeling and the effectiveness of individual measures to prevent hospital-acquired infections.

    Proposal of Positive, Attainable Improvement Goals for Quality and Safety

    Despite significant achievements, Cleveland Clinic has identified areas for improvement. Proposing positive, attainable improvement goals assumes the Clinic’s commitment to continuous learning and growth. Leveraging its established infrastructure, skilled personnel, and dedication to community service, Cleveland Clinic aims to build on its successes. The proposed improvement goals focus on enhancing nurses’ training to better address diverse community needs, thereby improving patient outcomes and overall service quality (Meehan & Sharp, 2023).

    Goals Leading to Ethical and Culturally-sensitive Improvement

    To further enhance service quality and safety, Cleveland Clinic should prioritize expanding and enriching community-focused programs, coupled with strengthening nursing staff training. This two-pronged approach not only catalyzes service quality and safety enhancements but also fosters ethical and culturally-sensitive improvements. Investing in community-focused programs enables the Clinic to address health disparities and promote health equity, while enhanced nurse training ensures the delivery of culturally-sensitive care, catering to the diverse needs of the community (Zhao et al., 2022).

    Alignment of Goals with Cleveland Clinic’s Mission, Vision, and Values

    The proposed goals align seamlessly with Cleveland Clinic’s core mission to provide comprehensive, high-quality, and patient-centered care. By intensifying community-focused programs, the Clinic extends its influence beyond hospital premises, fostering healthier communities. Simultaneously, bolstering nurse training initiatives resonates with Cleveland Clinic’s vision of cultivating a culture of continuous learning and excellence across all service aspects. These endeavors align deeply with Cleveland Clinic’s values of respect, integrity, and innovation, creating a positive impact on the broader community (Cleveland Clinic, n.d.).

    Part 2: SWOT Analysis

    SWOT Analysis for Quality and Safety Goals

    To evaluate Cleveland Clinic’s current state regarding quality and safety goals, a SWOT analysis was conducted. The SWOT framework, a strategic planning tool, offers a comprehensive overview of an organization’s strengths, weaknesses, opportunities, and threats (Sisto et al., 2022). The analysis, based on internal evaluation, external research, and stakeholder interviews, revealed key aspects:

    Strengths

    • Excellence in patient care
    • Innovative healthcare delivery approaches

    Weaknesses

    • Inefficiency in some community programs
    • Lack of training in specific areas

    Opportunities

    • Expansion of telehealth services
    • Collaboration with community organizations

    Threats

    • Regulatory changes
    • Competition from other healthcare providers

    The findings emphasize Cleveland Clinic’s dedication to superior patient care and innovative health service delivery as strengths. However, identified weaknesses, such as underperforming community initiatives and staff training deficits, could hinder goal attainment. Opportunities for improvement include expanding telehealth services and collaborating with local organizations, while regulatory changes and competition pose external threats.

    The SWOT analysis highlights a significant concern: the inefficiency of certain community programs. Upgrading these initiatives is crucial for achieving Cleveland Clinic’s mission of providing comprehensive care to all segments of society. Evaluation criteria include program reach, impact on health outcomes, community engagement levels, satisfaction rates, and alignment with broader healthcare service delivery.

    Part 3: Comparison of Approaches

    Mindset for AI vs. SWOT Approach

    The Appreciative Inquiry (AI) approach focused on identifying excellence within Cleveland Clinic, emphasizing best practices and successful innovative solutions. The mindset centered on unearthing positive aspects and contemplating how these could drive future growth. In contrast, the SWOT approach adopted a holistic perspective, considering internal strengths and weaknesses, along with external opportunities and threats. This analytical mindset aimed at objectively evaluating factors influencing the organization’s performance, incorporating a broader dataset, including internal metrics, patient satisfaction scores, employee feedback, market trends, regulatory changes, and competition data.

    Despite differing focuses, both AI and SWOT approaches aim to identify areas of excellence and improvement, fostering open dialogue and a shared understanding of the organization’s current state and future aspirations. AI encourages positive dialogue, emphasizing strengths and potential for growth, while SWOT calls for a balanced conversation, considering both positives and negatives, strengths and weaknesses.

    Part 4: Analysis of Relevant Leadership Characteristics and Skills

    Desired Leadership Traits and Skills for AI and SWOT Approaches

    In performance improvement projects using both AI and SWOT approaches, leadership characteristics and skills differ yet complement each other. For AI projects, creativity, innovation, and data-driven decision-making are crucial. These traits drive the identification of best practices and the visualization of an ideal future state. In SWOT projects, strategic thinking and adaptability are essential to navigate the complexities of internal and external environments, responding effectively to emerging challenges and opportunities.

    Shared leadership characteristics include collaboration, critical thinking, adaptability, and a commitment to excellence. Both approaches demand open dialogue, 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

    Cleveland Clinic. (n.d.). Mission, vision & values. https://my.clevelandclinic.org/about/overview/who-we-are/mission-vision-values

    NURS FPX 6210 Assessment 1 Care Setting Environmental Analysis

    Fan, G., Zhou, Y., Zhou, F., Yu, Z., Gu, X., Zhang, X., Liu, Z., Zhou, M., & Cao, B. (2023). The Mortality and Years of Life Lost for Community-Acquired Pneumonia Before and During COVID-19 Pandemic in China. Social Science Research Network. https://doi.org/10.2139/ssrn.4509972

    Garrett, M. D. (2022). Applying appreciative inquiry to research in the field of inclusive education. Canadian Journal for New Scholars in Education/ Revue Canadienne Des Jeunes Chercheures et Chercheurs En Éducation, 13(1). https://journalhosting.ucalgary.ca/index.php/cjnse/article/view/74418

    Meehan, R., & Sharp, J. (2023). Making a difference: Careers in health informatics. In Google Books. CRC Press. https://books.google.com/books?hl=en&lr=&id=fzzLEAAAQBAJ&oi=fnd&pg=PT11&dq=With+its+well-established+infrastructure

    Nilashi, M., Keng Boon, O., Tan, G., Lin, B., & Abumalloh, R. (2023). Critical data challenges in measuring the performance of sustainable development goals: Solutions and the role of big-data analytics. Harvard Data Science Review, 5(3). https://doi.org/10.1162/99608f92.545db2cf

    Ojanperä, H., Ohtonen, P., Kanste, O., & Syrjälä, H. (2022). Direct hand hygiene observations and feedback increased hand hygiene compliance among nurses and doctors in medical and surgical wards – an eight-year observational study. Journal of Hospital Infection, 127. https://doi.org/10.1016/j.jhin.2022.06.007

    NURS FPX 6210 Assessment 1 Care Setting Environmental Analysis

    Sisto, R., Fernández-Portillo, L. A., Yazdani, M., Estepa-Mohedano, L., & Torkayesh, A. E. (2022). Strategic planning of rural areas: Integrating participatory backcasting and multiple criteria decision analysis tools. Socio-Economic Planning Sciences, 101248. https://doi.org/10.1016/j.seps.2022.101248

    Zhao, Y., Liu, L., Ding, Y., & Chan, H. Y. L. (2022). Effect of a culturally sensitive DEmentia Competence Education for Nursing home Taskforce (DECENT) programme in China: A quasi-experimental study. Nurse Education Today, 116, 105434. https://doi.org/10.1016/j.nedt.2022.105434