Significance of Statistical Application in Health Care

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Application of Statistics in Healthcare
Introduction
Statistics is considered an important aspect of the healthcare system that can be used for various analytic and decision-making issues. More so, they also provide a basis for evidence-based practice crucial in such an industry that deals with human life (Dash). Consequently, statistical applications in healthcare have relevance to aspects of quality, safety, health promotion, and leadership. Statistical analysis in healthcare can range from the basics of simple demographic data such as age, gender, or race to complex variables that can be used to perform complex analysis (Bruce et al.). Therefore, it is an essential tool that can be applied across different contexts to obtain mathematical figures that can be interpreted to inform a particular subject area under investigation. Therefore, based on the requirements, different statistical approaches can be used to solve problems affecting the healthcare system, from individual patients to health institutions.
Significance to Quality, Safety, Health Promotion and Leadership
Different types of statistical tools and techniques can be employed in the healthcare setting to achieve different goals. With regard to quality, statistical analysis can be employed to evaluate the services provided to patients by monitoring appropriate performance indicators. This can be done using descriptive statistics to check trends and deviations that could affect the quality standards set and improve patient outcomes (Siedlecki 9).
On the other hand, statistical analysis can also be applied to the aspect of safety in healthcare. This can be done through the use of inferential statistics to test different hypotheses, evaluate the efficacy of treatment regimens and ultimately make appropriate decisions with regard to clinical trials (Dash 226). This is a crucial step before releasing any form of medication or intervention in the industry due to its potentially catastrophic results to public health if found to be harmful.
Apart from that, statistical approaches can also be applied to health promotion by assessing the impact of public health initiatives in the community. Statistical analysis can thus be used to identify health disparities in a country, assess risk factors for different groups of populations and implement preventive measures (Kim). For instance, analyzing categorical variables such as gender or race and comparing them with continuous variables such as blood pressure can determine disparities among groups. This is crucial since it can protect vulnerable groups in the population, which can improve overall health outcomes.
Lastly, with regard to leadership, utilizin...