Decision-Making Using Statistics The use of healthcare statistics is essential in planning for RSV season which runs from October to May with the peak being in February. RSV season in Florida has an earlier onset and longer duration than the remainder of the United States (National Institute of Health, 2019-b). Tracking seasonal data on RSV can help in the application of diagnostic testing and impact policy decisions regarding the administration of available prophylaxis medications and participation in clinical trials of vaccines and immunoprophylaxis products under development. Statistics allows management to estimate needs for staffing, supplies, pharmaceuticals, and census increases. Conclusion In conclusion, health statistics are numeric information about some facet of health. The use of these statistics by researchers can be used to identify patterns of disease in a population. The data can in turn help determine who is at risk for disease and find ways to control the spread of disease as well as which conditions to study (National Institute of Health, 2019-a). Data collected and analyzed during clinical trials can be used in the development of new medication to fight diseases with a statistical understanding of the risk that comes with the new drug.
APPLICATION OF STATISTICS IN HEALTH CARE 6 Observation and numeric measurement enable the decision-makers in healthcare to plan and implement policies that will benefit patients and organizations.
APPLICATION OF STATISTICS IN HEALTH CARE 7 References Bernazzani, S. (2018, October 5). Tallying the high cost of preventable harm. Retrieved from Center for Patient Safety. (n.d.). Relevant facts & statistics. Retrieved from National Institute of Health. (n.d.). About health statistics. Retrieved from National Institute of Health. (2019, January 29-a). Health statistics. Retrieved from National Institute of Health. (2019, April 09-b). Respiratory syncytial virus (RSV). Retrieved from U.S. Department of Health & Human Services. (2018, June 06). Data. Retrieved from
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- Spring '17
- Epidemiology, National institute of Health