Healthcare providers need knowledge of statistics to measure specific performance outcomes. Use of statistics helps to improve on efficiencies in a healthcare facility. Statistics in healthcare involves the implementation of data-driven and continuous quality improvement statistical programs in the operations. It is also through the mathematical concepts that the health of population and patients in a hospital are measured (Spiegelhalter et al., 2012). The paper will feature an analysis of the relevance of statistical concepts to an individual working in a health care facility together with an example of how mathematical concepts applies in the organization.

Knowing statistical concepts helps healthcare practitioners in healthcare utilization. One can tell gender, disability, and sex of people receiving healthcare facilities which can help to predict the kind of services and medicines the people will mostly need. It can also help a practitioner in resource allocation of scarce medical resources in terms of which drugs to buy and which patients to treat using such concepts (Spiegelhalter et al., 2012). Statistics can also be used to weigh quality improvement in terms of performance success and failures.

My organization uses statistical concepts to measure quality improvement. It is upon healthcare management team to provide quality goods and services efficiently. My organization uses such statistical data to establish benchmarks, to measure standards of quality excellence and to measure future outcomes (Scott & Mazhindu, 2014). The overall growth and productivity of a company also weighed through statistical concepts which get gathered over some time. Statistics are also used to assess success or failure of care provided to the patients.

As a practitioner, I intend to use the data in determining areas which require more research. Statistics can also help me identify which treatments need evidence-based practice. I will also apply the data to determine which specifically involves the allocation of more resources

References

Scott, I., & Mazhindu, D. (2014). Statistics for healthcare professionals: An introduction. Sage.

Spiegelhalter, D., Sherlaw‐Johnson, C., Bardsley, M., Blunt, I., Wood, C., & Grigg, O. (2012). Statistical methods for healthcare regulation: rating, screening, and surveillance. Journal of the Royal Statistical Society: Series A (Statistics in Society), 175(1), 1-47.