Analyzing and Improving Nursing Project Data

Introduction

Healthcare planning their outcome improvement is subject that is based on the analysis of the critical area in clinical facilities to evaluate services and activities appropriately. The processes involved in forecasting and giving a reflection of data through analyzing initial costs is a lengthy procedure. This paper discusses the analytical steps related to data scrutiny and improvement to acquire good result in overall performance in the health facilities. The project also focusses on how to improve the employees working spirit and their relationship with top healthcare officers.

Objectives of the healthcare canter- The principal aim of establishing health care is to ensure it offers quality standards services to patients by meeting their satisfaction. To workers is to ensure that there is inclusivity, motivation, and teamwork.

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Business Vision- Is to work by the government set standards, offering world-class services to patients and using quality facilities that will set a competitive pace for competitive advantage. Eventually, it will top in the generation of revenue to sustain its performance and maintenance of workers and its services.

Challenges and notified observations

Health providing organizations have experienced the problem of retrenching workers in seasons when they don’t have enough resources and funds in the organization. Sources provided have indicated the low performance in each unit rated at 34% from the Average required of 70%. In many occasions, workers response towards their job description is recorded to be positive in terms of resources and staffing, autonomy, quality healthcare services, leaders’ responsiveness, interpersonal relationships, and team coordination. However, improvement is needed in some areas which require keen data evaluation and analysis to be enhanced. According to scholar Longest Jr & Darr (2014) suggested that nurse managers need to monitor their productivity by making comparisons of data through the year 2016-17 for nurses’ performance.

The analyzed approach where projected report and the actual performance are related. The nurse managers are keen to make observations on the productivity of their units such as decision making, customer service, team operations, and responsiveness concerning how to improve the data and steps to monitor the progress (Longest Jr & Darr (2014). Marchetti et al. (2015) suggested through a study done to workers’ behaviors in the hospital setting, and many are lowly motivated to perform their duties.

Analyzing Data

The case study offers evidence indicating that overall organizational performance in terms of resources and staffing is slightly below average as the National Benchmark is 3.45 for available resources and the actual result of the health center is 3.16 (Mercuri et al. 2015). The nursing manager has independent authority to make decision impacting the work and influence the nursing practice which somewhere below expected limits recorded in the data to be about 3.88. While the unit score is 3.69 (Mercuri et al. 2015), this suggests that there is a need for the improvement of some areas in the data where the updates needed to be carried out regularly. Staffs decision making requires improvement such as making inquiries before making final decisions (Waldron et al. 2016).

Improving data analysis, workers, and patients experience

The patient’s experience can be enhanced through close engagement by the nurse practitioners who are well trained and meet the right standards benchmarks of averagely 3.95 (Kangovi et al. 2014).

Fig. Chart showing the steps to develop plans for improvement (Kangovi et al. 2014)

From the chart provided, various steps should be keenly observed to give guidelines for improvements. This step includes the Plan, Do, Study, and Act (PDSA). Starting with study, it is essential to monitor the performance of the healthcare based on the objectives and vision for the organization. It is, therefore, necessary to make predictions and establish a well-outlined plan explaining each worker and staffs responsibilities duties and who to report to for easy analysis. Overall decision making should be made by top management after the brainstorm by all workers and data collected from patients feedbacks.

The “Do” part is where plans are set to document problems and anomalous behaviors identified in data analysis. Issues such as resources and tools needed for nursing services are below the expected average. This requires some improvement from 3.03 to 3.16 overall RN. It’s manageable through allocating funds to purchase those facilities and equipment necessary for patients care. Competition in the health providing clinics has led to the patients to cover themselves creating stiff concern by the management to work within high standards of quality services provision (Kangovi et al. 2014). Primarily, their satisfaction is viewed as an essential aspect of quality care assisting the understanding patients’ perceptions (Al-Abri & Al-Balushi 2014).

The “study” part requires data results compared to predictions. In this case, the professional development is quite well though, improvements are needed in areas such as performance processes to enhance nurses effective performance, and personnel management approaches Zadow et al. 2017). This is essential as they work in the environment with significant emotional influences. Thus, they need to self-care to address the situation effectively.

“Changes” to be made includes decision making is a general problem that requires collective teamwork to come up with satisfactory solutions (Lu, Zhao & While 2019). The clinical care team, members in the executive level, scheduling staff members, physicians, and perhaps patients need to be involved in the program.

Conclusion

The case study has projected a report that indicates how the healthcare staffs and other working fraternity need to focus on, to address its operations. It has given data information that the organization needs to base on as a sign of to meet the national set levels. It has clearly outlined measure to handle the challenge such as the use of training to staffs, involvement of patients through feedbacks.

 

Work Cited

Al-Abri, R., & Al-Balushi, A. (2014). Patient satisfaction survey as a tool for quality improvement. Oman medical journal29(1), 3.

Kangovi, S., Mitra, N., Grande, D., White, M. L., McCollum, S., Sellman, J., … & Long, J. A. (2014). Patient-centered community health worker intervention to improve posthospital outcomes: a randomized clinical trial. JAMA internal medicine174(4), 535-543.

Longest Jr, B. B., & Darr, K. J. (2014). Managing Health Services Organizations and Systems. Health Professions Press, Inc.

Lu, H., Zhao, Y., & While, A. (2019). Satisfaction among hospital nurses: a literature review. International journal of nursing studies.

Marchetti, S., Giusti, C., Pratesi, M., Salvati, N., Giannotti, F., Pedreschi, D., … & Gabrielli, L. (2015). Small area model-based estimators using significant data sources. Journal of Official Statistics31(2), 263-281.

Mercuri, M., Welsford, M., Schwalm, J. D., Mehta, S. R., Rao-Melacini, P., MASc, N. V. M., … & Natarajan, M. K. (2015). Providing optimal regional care for ST-segment elevation myocardial infarction: a prospective cohort study of patients in the Hamilton Niagara Haldimand Brant Local Health Integration Network. CMAJ open3(1), E1.

Waldron, N., Johnson, C. E., Saul, P., Waldron, H., Chong, J. C., Hill, A. M., & Hayes, B. (2016). Development of video-based education and process change intervention to improve advance cardiopulmonary resuscitation decision-making. BMC health services research16(1), 555.

Zadow, A. J., Dollard, M. F., Mclinton, S. S., Lawrence, P., & Tuckey, M. R. (2017). Psychosocial safety climate, emotional exhaustion, and work injuries in healthcare workplaces. Stress and Health33(5), 558-569.