Running head: STATISTICS IN HEALTH CARE Application of Statistics in Health Care Lisa Marie LaBarca Grand Canyon University: HLT-362V-OL191 February 2, 2020 1
STATISTICS IN HEALTH CARE When it comes to decision making in health care, the application of statistics cannot be underestimated. Organizations, including the government gauge their performance and results based off statistical analysis. A populations well-being and health status could be determined utilizing statistical information. “In analysis of the data, trends are identified, and those trends allow the assumption of predictability” (Ambrose, 2018). The analysis of data could help make a positive different in health care, but it also is essential to help improve quality outcomes. Many hospitals around the world gather systematic and routine statistical data from patient care settings in order to determine the effectiveness of the services provided. The data is also utilized to help determine any iatrogenesis, an effect on a person that is not beneficial resulting from a healthcare professional or other factors. There has been an increase in evidence-based practice (EBP) in health care because of this. “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). Healthcare organizations all have a similar goal and drive to ensure the delivery of quality service. In order to provide quality health care patient safety must be maintained and achieved. Patient safety is the prevention of harm to patients and a great emphasis is placed on the health care delivery systems to prevent errors, learn from errors that do occur, and provide a strong culture of safety to decrease accidental or preventable injuries during medical care (Mitchell, 2008). Safety issues within health include, but not limited: medication errors, diagnostic errors, unsafe discharge practices, patient falls, sepsis, inadequate staffing, etc.
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