Question
Respond to this discussion question with reference. Medical professionals need basic knowledge of statisticsto effectively predict and summarize the utility, efficacy, and costs of medical
Respond to this discussion question with reference. Medical professionals need basic knowledge of statisticsto effectively predict and summarize the utility, efficacy, and costs of medical goods and services; justify budgets' expenditures; and measure their performance outcomes. The type of statistics that nurses interact with daily is called descriptive statistics-numbers such as patient weight, height, blood pressure, and heart rate. The data from individual patients is then compared to a database of accumulated data. As a nurse, we need to be able to read researchto apply evidence-based practice to the patients we care for.
For health care, frequency distribution isa great way to display important information and find patterns that can affect the health and well-being of patients. As a healthcare researcher, you can use frequency distribution, for example, to study the effects of new medicines, research how certain conditions interact with one another and monitor a patient's health with questions and exams. Some healthcare providers may even ask patients to create their own frequency distribution charts by maintaining journals of when certain symptoms occur, which the doctor then uses to recommend treatment and make diagnoses.
Variance on the other hand can help identify the sources and causes of deviations from the standards, and suggest corrective actions or improvements. In healthcare, variance analysis canenhance quality control and risk management by providing valuable insights into the efficiency, effectiveness, and quality of care delivery. For example, patient satisfaction variance analysis compares the actual feedback or ratings of the patients with the expected or target levels. It can help healthcare providers assess the quality of the service and the relationship with the patients, and identify areas of dissatisfaction or excellence. Patient satisfaction variance analysis can also help measure the impact of patient satisfaction on the loyalty, retention, or referrals of the patients. By analyzing the patient satisfaction variances, healthcare providers can enhance the patient experience, or implement customer service or communication strategies.
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