Assessment Description Statistical application and the interpretation of data is important in health care. Review the statistical concepts covered in this topic. In a 750-1,000 word paper, discuss the...

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Assessment Description


Statistical application and the interpretation of data is important in health care. Review the statistical concepts covered in this topic. In a 750-1,000 word paper, discuss the significance of statistical application in health care. Include the following:



  1. Describe the application of statistics in health care. Specifically discuss its significance to quality, safety, health promotion, and leadership.

  2. Consider your organization or specialty area and how you utilize statistical knowledge. Discuss how you obtain statistical data, how statistical knowledge is used in day-to-day operations and how you apply it or use it in decision making.


Three peer-reviewed, scholarly or professional references are required.


Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.


This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.


You are required to submit this assignment to LopesWrite. A link to the LopesWrite technical support articles is located in Class Resources if you need assistance.





Answered 1 days AfterSep 21, 2022

Answer To: Assessment Description Statistical application and the interpretation of data is important in health...

Dr. Saloni answered on Sep 23 2022
55 Votes
Statistics in Healthcare
Significance of Statistics
Statistics are a crucial strategy in the healthcare field as they can be used for a range of objectives and in a wide range of specialisations, in
cluding nurse practitioners, who can use the discipline in practice and research. Statistics' numerical data is widely used in health care because of its rationality and potential to incorporate data-driven programmes that can raise productivity and assess the wellness of large populations (Sundaram et al., 2018).
Statistics are employed as a goal and data-driven factor in almost every component of contemporary health care. Statistics are more often employed for quality improvement and measurement, as well as for systematic process regulation. Data on quality and performance indicators is gathered over a period and analysed to identify particular trends or responses to intervention strategies (Sharples, 2018).
This statistical information may pertain to hospitals (readmission rates and duration of stay), the system of care (utilisation of beta-blockers, percentage of patient check-ups), patients (diagnoses, mortality), and adverse reactions (falls, HAIs). Many of the factors not only categorise quality but also utilise it as a critical safety marker. Monitoring the total of HAIs in patient populations, for instance, can demonstrate whether proper sanitary conditions, as well as infection prevention strategies, are being implemented in hospital settings. Metrics are remarkably useful in monitoring safety and quality to assess current practices (Gerrits et al., 2019).
Statistics are crucial in health promotion and public health. Health care and government organisations can monitor population data utilising statistics to inspect large-scale healthcare patterns and indicators. This is extremely helpful in determining the requirement for intervention and the associated consequences. Statistics can assist in monitoring communicable diseases, chronic condition mortality, morbidity,...
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