Last Updated on January 6, 2023 by Admin
Applied Statistics for Health Care profession
Assessment Description
Statistical application and the interpretation of data is important in health care. Review the statistical concepts covered in this topic. In a 750-1,000 word paper, discuss the significance of statistical application in health care. Include the following:
- Describe the application of statistics in health care. Specifically discuss its significance to quality, safety, health promotion, and leadership.
- Consider your organization or specialty area and how you utilize statistical knowledge. Discuss how you obtain statistical data, how statistical knowledge is used in day-to-day operations and how you apply it or use it in decision making.
Three peer-reviewed, scholarly or professional references are required.
Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
You are required to submit this assignment to LopesWrite. A link to the LopesWrite technical support articles is located in Class Resources if you need assistance.
Expert Answer and Explanation
Applied Statistics for Healthcare Profession
Statistical analysis in the health department helps in decision making and predictions since it gives a trend that healthcare providers can follow to better administer services (Frost, 2021). The information collected from the observations and measurements majorly describe the characteristics of the sample population at hand. The main aim of this paper is to discuss the significance of statistical application in healthcare.
Application of Statistics in Healthcare
Health statistics are important since they provide information that assists in the allocation of medical resources such as funds that are vital for research purposes. The quality of patient care is hence improved along with better policies and techniques for infection control (Baylina et al., 2018). When analysts use statistical methods correctly, accurate results are guaranteed since this type of analysis caters to errors and uncertainty in the results.
In quality control, statistical analysis methods are used to monitor, measure, and maintain the overall value of products. The results obtained in turn help processes such as manufacturing to ensure less wastage and time taken to manufacture medicine. Healthcare providers in this case work to ensure effective goods are produced and services are efficiently offered. In healthcare, statistics help to understand how secure and safe working environments are since they narrow down to the group of workers most vulnerable (Boserup et al., 2020). Given this information, improvements in the areas that are considered dangerous to the healthcare provider are made to ensure good services are offered all around.
Health promotion benefits largely from statistical analysis in healthcare since the trends laid down by statistical methods, provide reliable data that greatly assist in the allocation of private and public finances and this affects how research is carried out (Baylina et al., 2018). The statistical analysis method is an important component in the needs assessment sector since budget expenses presented to various governing boards are properly used and can be accounted for.
Healthcare leadership can be greatly improved by the use of statistical methods (Fox-Tatum, 2021). Identification of trends and specific trails can ensure leaders being chosen can be relied on by other staff members. Available information on the leaders guaranteed by the help of statistical analysis helps the healthcare organizations to be confident in the success of the healthcare organization.
Acquisition and Usage of Statistical Data
Acquisition of Statistical Data
There are several processes to acquire information that can be used in statistical analysis in the healthcare profession. One of the means is data mining. This is a process of acquiring specific information or data from a large pool of data (Kumar et al., 2019). The process of data mining involves the stages of defining the information, finding the exact pieces of information being sought, and extracting the information from the large pool of data.
In this whole process, the information is recovered, merged, managed, and prepared for analysis. The resultant information following data mining is then analyzed and organized in a usable format (Kumar et al., 2019). After this process, patients and the professionals in the healthcare department benefit since the mined information can be refined to finer detail hence improving the overall status of healthcare for both the professional and the patients.
Usage of Statistical Data
Statistical knowledge can be used day to day in the healthcare profession. With this range of statistical information, individuals can monitor medical expenses on a day-to-day basis, healthcare costs, and hospital statistics. Considering the COVID-19 pandemic, statistical data is used by both healthcare professionals and even patients and other individuals to identify the trend of occurrences (Boserup et al., 2020). A lot of statistical issues are vital in the analysis of public health information in the healthcare profession.
When it comes to decision-making, statistical data plays a big influential factor. Given that statistical analysis involves the process of collecting data samples, and analyzing the data sample to discover patterns and trends to predict what could potentially happen next, the decision that comes thereof is guaranteed to be well thought through (Kumar et al., 2019). In the healthcare profession, good decisions are a product of good statistics. Having a strong baseline of facts aids in minimizing the risks of healthcare challenges.
Conclusion
In conclusion, this paper has discussed the significance of statistical analysis for the healthcare profession. Statistical analysis for healthcare professions is vital since it majorly influences how safety, quality, health promotion, and leadership can be improved. With the information obtained through data mining, cleaned, analyzed, and stored, the healthcare profession is guaranteed that information given is purely factual and statistical and how it influences the overall performance of the profession is secure.
References
Baylina, P., Barros, C., Fonte, C., Alves, S., & Rocha, Á. (2018). Healthcare workers: Occupational health promotion and patient safety. Journal of medical systems, 42(9), 1-8
https://doi.org/10.1007/s10916-018-1013-7
Boserup, B., McKenney, M., & Elkbuli, A. (2020). The impact of the COVID-19 pandemic on emergency department visits and patient safety in the United States. The American journal of emergency medicine, 38(9), 1732-1736.
https://doi.org/10.1016/j.ajem.2020.06.007
Fox-Tatum, Oliver. (2021, March 1). Statistical leadership: Make your analytical insights count. GSS – The Government Statistical Service (GSS). https://gss.civilservice.gov.uk/blog/statistical-leadership-make-your-analytical-insights-count/
Kumar, S. R., Gayathri, N., Muthuramalingam, S., Balamurugan, B., Ramesh, C., & Nallakaruppan, M. K. (2019). Medical big data mining and processing in e-healthcare. In Internet of things in biomedical engineering (pp. 323-339). Academic Press.
https://doi.org/10.1016/B978-0-12-817356-5.00016-4
Frost, Jim. (2021, January 19). The importance of statistics. Statistics By Jim. https://statisticsbyjim.com/basics/importance-statistics/
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