Discuss why it is important for a person working in health care to understand statistical concepts. Provide an example of how statistical data is used in your organization or specialty area today and what you are expected to do with this information as a practitioner.
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As it is important for a person working in health care to understand statistical concepts, as because for instance,
Health care providers strive to produce effective goods as wella s services efficiently. Thus, statistics are important to health care companies in measuring performance success or failure. Hence, through establishing benchmarks, or standards of service excellence, quality improvement managers can be able to measure future outcomes. Thus, analysts map the overall growth as well as viability of a health care company using statistical data gathered over time
As the innovative medicine begins and, sometimes, ends with statistical analysis, then data is collected and carefully reported in clinical trials of new technologies and treatments to weigh products’ benefits against their risks. Thus, market research studies steer developers toward highly competitive product lines, thus statistics indirectly influence product pricing through describing consumer demand in measurable units.
As the statistical information is invaluable in determining what combination of goods and services to produce, which resources to allocate in producing them as well as to which populations to offer them. However, health care statistics are very important to allocative and production efficiency. Therefore, allocation decisions involve trade-offs-the costs of lost or missed opportunities in choosing one economic decision over another
As consumer market characteristics such as age, sex, race, income, and disabilities are beneficial to the health care industry. Thus, such “demographic” statistics will predict which services people will use as well as what quality of treatment they will be able to afford. However, statistics on service use are used by health administrators to apply for grant grants and justify budget costs to their governing boards.
Particularly, statistical analysis is used by health-care organizations to assess their results. To optimize performance, hospitals and other large provider service organizations adopt data-driven, continuous quality assurance systems. Statistical data is used by government health and human service departments to assess public health and well-being.
An example of how statistical data is used in the organization is that , we use statistical data in the operating room to assess patient treatment, such as patient positioning pressure injuries. Quality measurements or metrics for surgical on-time starts, operating room turnover times, surgeon block use, case cancellations on the day of operation, as well as patient through-put times are often developed using statistics. However, staffing schedules, cost per case, materials control, as well as resource utilization are some of the other uses of statistics in the operating room. Inside the hospital, such data is used to determine best practices in patient care, operating room quality, and more so value-based healthcare practices. Thus, as practitioner, I may use statistics to identify specific patterns in important signs and symptoms as well as be able to respond better to any medical changes to the patient. Hence, even using frequency charts or data sheets to document the timing of medication given to patients is another way that I might be use statistics
References
Aggarwal, R. (2018). Statistical literacy for healthcare professionals: Why is it important?. Annals of cardiac anaesthesia, 21(4), 349.
Suresh, S. (2014). Nursing research and statistics. Elsevier Health Sciences.
World Health Organization. (2015). World health statistics 2015. World Health Organization.