Application of Statistics in Health Care_Final.docx - Running head APPLICATION OF STATISTICS IN HEALTH CARE Application of Statistics in Health Care

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Running head: APPLICATION OF STATISTICS IN HEALTH CARE Application of Statistics in Health Care Grand Canyon University: HLT-362V April 28, 2019 1
Statistical Application in Health Care Statistics in Health Care Even though statistical data analysis makes a difference in patient care, statistics can be misleading but it is essential in health care because it improves quality outcome and statistical data analysis is the foundation of research. Over the last two decades there has been an increasing the development of research-based and evidence-based practice (EBP) in health care (Scott, I. & Mazhindu, D., 2014). Statistical data analysis is the foundation of every research; it is the first step in research and is the part that helps researchers develop results. Understanding research in health care requires appreciating both qualitative and quantitative approaches to analyzing data and it plays a crucial role in health care. “Health care practice that is not research based, not assessed, not planned and not evaluated to see if it makes a difference to patient care, can kill people, as it leads to unsafe practice” (Scott, I. & Mazhindu, D., 2014). Through the application of research and statistical data analysis, statistics has greatly influenced the health care professional practice leading to the improvements in quality of care, patient safety, health promotions, and leadership. “In analysis of the data, trends are identified and those trends allow the assumption of predictability” (Ambrose, 2018). For example, graphics and statistics are frequently used to prove (or disprove) theories related to illness, patient safety and administration of medication. The application of statistics in health care is important because health care professionals deal with a variety of information that needs statistical treatment of the data. For example, when giving medication to the patient, health care professionals must determine the time interval when a patient should take the prescribed medication. In evaluating the use of statistics in health care, Fowler, Chevannes, and Javis (2002) identifies two reasons why nurses need to be statistically equipped. One reason is that statistical literacy is required if nurses are to read and evaluate critical and intelligent datasets, reports and 2
Statistical Application in Health Care other literature related to managing health care. Another reason is that knowledge in statistics

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