Discussion: In a 750-1,000 word paper, discuss the significance of statistical application in health care/HLT362V
Discussion: In a 750-1,000 word paper, discuss the significance of statistical application in health care/HLT362V
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:
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Describe the application of statistics in health care. Specifically discuss its significance to quality, safety, health promotion, and leadership.
In your Hospital, and working as an RN in the emergency department, 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.
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HLT362V
Statistics plays a crucial role in healthcare by providing a way to analyze and interpret data in order to make informed decisions about patient care and treatment. This includes identifying patterns and trends in patient data, evaluating the effectiveness of different treatments, and predicting outcomes. Additionally, statistics is used to design and conduct clinical trials to test the safety and efficacy of new drugs and medical devices. Furthermore, statistics is used to identify risk factors for diseases and to monitor and evaluate public health programs (Kim et al., 2020). Overall, statistics is an important tool in healthcare for understanding and improving patient outcomes. The purpose of this assignment is to describe the application of statistics in healthcare, and in particular, its significance to quality, safety, health promotion, and leadership.
The Application of Statistics in Health Care
Statistics play a vital role in the field of healthcare. They are used to inform decision making, evaluate the effectiveness of interventions, and measure outcomes. One important application of statistics in healthcare is in the area of quality improvement. Statistical methods are used to identify areas where care can be improved and track progress over time. For example, statistics can be used to track the number of hospital-acquired infections, readmissions, and patient satisfaction. This information can then be used to develop and implement interventions to improve the quality of care.
Another key area where statistics are used in healthcare is in the field of patient safety. Statistics are used to identify and track adverse events, such as medication errors and falls. This information can then be used to develop and implement interventions to improve patient safety. Statistics also play a role in health promotion. They are used to track the prevalence of diseases and risk factors, such as obesity and smoking. This information can then be used to develop and implement interventions to promote health and prevent disease. Finally, statistics are also important in healthcare leadership (Bohr & Memarzadeh, 2020). They are used to track financial performance, such as revenue and expenses. They also help healthcare organizations to measure their performance against the competition, and to identify areas where they need to improve.
Overall, statistics are an essential tool in healthcare. They are used to inform decision making, evaluate the effectiveness of interventions, measure outcomes, and track progress over time. They play a critical role in quality improvement, patient safety, health promotion, and leadership. With the increasing amount of data available in healthcare, the use of statistics will become even more important in the future.
Application of Statistics in RN in the Emergency Department
In my Hospital, and working as an RN in the emergency department I use statistical knowledge in a variety of ways to improve patient care and inform decision making. In my department, healthcare professionals may obtain statistical data through various sources, including electronic medical records, clinical databases, and research studies. In day-to-day operations, I use statistical knowledge to track and analyze patient outcomes, identify trends in patient populations, and monitor the effectiveness of interventions and treatments. For example, as a RNs I often use statistical data to track the number of patients with a certain condition or the success rate of a certain treatment.
Within my department, statistical knowledge is also used in decision making, such as determining the appropriate level of care for a patient or identifying high-risk patients who may need additional monitoring or intervention. RNs may also use statistical data to inform protocols and guidelines for patient care, as well as to identify areas for improvement in the emergency department. Overall, statistical knowledge is a crucial tool for healthcare professionals in my healthcare organization, and in particular, emergency department, as it allows them to make evidence-based decisions and improve patient outcomes.
My healthcare organization have improved the operational processes through the use of statistical knowledge in a variety of ways. One common approach is using data analytics to improve patient outcomes and reduce costs; this has always been done by using statistical methods to identify patterns in patient data, such as risk factors for certain conditions or treatment effectiveness. Another way is by using statistical process control (SPC) to monitor and control processes, such as lab test results or patient wait times (Shapira et al., 2019). This has helped identify and address issues in a timely manner, improving the overall quality of care. Additionally, healthcare organizations use statistical methods to design and analyze clinical trials, which are used to test the safety and efficacy of new treatments. Overall, the use of statistical knowledge allows healthcare organizations to make data-driven decisions and continuously improve their operations.
Conclusion
Data and statistics are critical in healthcare organizations because they allow for the analysis and interpretation of large amounts of information. The entire process can help identify trends and patterns, evaluate the effectiveness of treatments, and inform decision making. Additionally, data and statistics can be used to measure and track progress towards organizational goals, and to evaluate the performance of healthcare providers. This information can help improve patient outcomes, reduce costs, and optimize the delivery of healthcare services.
References
Bohr, A., & Memarzadeh, K. (2020). The rise of artificial intelligence in healthcare applications. In Artificial Intelligence in healthcare (pp. 25-60). Academic Press. https://www.sciencedirect.com/science/article/pii/B9780128184387000022
Kim, M., Mallory, C., & Valerio, T. (2020). Statistics for evidence-based practice in nursing. Jones & Bartlett Publishers.
Shapira, S., Friger, M., Bar-Dayan, Y., & Aharonson-Daniel, L. (2019). Healthcare workers’ willingness to respond following a disaster: a novel statistical approach toward data analysis. BMC Medical Education, 19(1), 1-12. https://bmcmededuc.biomedcentral.com/articles/10.1186/s12909-019-1561-7
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