NURS FPX 6210 Assessment 1 Care Setting Environmental Analysis

• NURS FPX 6210 Assessment 1 Care Setting Environmental Analysis

Part 1: Discovery and Vision

Cleveland Clinic’s Commitment to Quality Care

Cleveland Clinic, headquartered in Ohio, is a leader in advancing healthcare quality and patient safety. Over the years, their strategies for addressing sepsis, reducing hospital-acquired infections, and managing chronic diseases have showcased their dedication to excellence. For instance, the clinic implemented advanced technologies and evidence-based practices, reducing sepsis-related mortality by 30% within five years (Fan et al., 2023). Similarly, their focus on stringent hygiene protocols and staff education NURS FPX 6210 Assessment 1 led to a 20% decrease in hospital-acquired infections over three years (Ojanperä et al., 2022).

Chronic disease management, particularly in heart failure patients, has also been a priority. Using data analytics, Cleveland Clinic reduced hospital readmissions for heart failure by 15% in just two years (Averbuch et al., 2022). These efforts demonstrate the institution’s alignment with its goals of enhancing patient safety and delivering superior care. However, growth opportunities remain, such as refining predictive models for sepsis care and evaluating the specific impacts of infection control strategies.

Setting Realistic Improvement Goals for Quality and Safety

While Cleveland Clinic has made remarkable progress, it recognizes the need for continuous improvement. Realistic and forward-thinking goals are essential to maintaining momentum. The clinic aims to enhance nurse training programs to better address the community’s diverse needs, ultimately improving patient outcomes and service quality (Meehan & Sharp, 2023).

Goals for Ethical and Culturally Competent Care

Cleveland Clinic seeks to expand community-centered programs and improve nurse training to elevate its services. This dual focus will enhance both patient care and the delivery of ethically sound, culturally sensitive services. The clinic aims to address health disparities and promote equity in care through broader outreach efforts. Improved training programs will empower nurses to provide culturally competent care to diverse patient populations (Zhao et al., 2022).

Aligning Goals with Cleveland Clinic’s Mission, Vision, and Values

The proposed goals align closely with Cleveland Clinic’s mission to deliver high-quality, patient-centered care. Expanding community outreach allows the clinic to extend its impact beyond hospital walls, fostering wellness within the community. Enhancing nurse training reflects its vision of promoting continuous learning and excellence, supported by the core values of respect, integrity, and innovation (Cleveland Clinic, n.d.).

Part 2: SWOT Analysis

SWOT Analysis for Quality and Safety Goals

A SWOT analysis evaluated Cleveland Clinic’s position regarding its quality and safety objectives. Key findings include:

• Strengths: Exceptional patient care and innovative practices.
• Weaknesses: Inefficiencies in community programs and gaps in staff training.
• Opportunities: Telehealth expansion and partnerships with community organizations.
• Threats: Regulatory changes and increased competition.

While Cleveland Clinic excels in patient care, addressing weaknesses such as community program inefficiencies and training gaps is vital. Expanding telehealth services and fostering local partnerships present significant opportunities, but challenges like regulatory shifts and market competition require strategic planning.

Part 3: Comparison of Approaches

Appreciative Inquiry (AI) vs. SWOT

The Appreciative Inquiry (AI) approach identifies strengths and leverages them to inspire growth. AI highlights successes and uses them as a foundation for innovation. Conversely, SWOT analysis offers a balanced perspective, evaluating internal strengths and weaknesses alongside external opportunities and threats.

Both approaches are valuable. AI fosters a strength-based mindset for future planning, while SWOT provides a comprehensive understanding of internal and external factors affecting performance. Together, they encourage thoughtful dialogue and informed decision-making.

Part 4: Leadership Traits and Skills

Essential Leadership Qualities for AI and SWOT

Effective leadership is critical in implementing AI and SWOT approaches. AI requires leaders who are innovative, creative, and adept at data-driven decision-making. For SWOT, strategic thinking and adaptability are key to addressing challenges and leveraging opportunities. Regardless of the approach, leaders must promote collaboration, critical thinking, and open communication. By fostering a culture of patient-centered care, leaders can drive continuous improvement in quality and safety.

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

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

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

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

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

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