HLT-362V Application of Statistics in Health Care

Grand Canyon University HLT-362V Application of Statistics in Health Care– Step-By-Step Guide

This guide will demonstrate how to complete the Grand Canyon University  HLT-362V Application of Statistics in Health Care assignment based on general principles of academic writing. Here, we will show you the A, B, Cs of completing an academic paper, irrespective of the instructions. After guiding you through what to do, the guide will leave one or two sample essays at the end to highlight the various sections discussed below.

How to Research and Prepare for HLT-362V Application of Statistics in Health Care                                

Whether one passes or fails an academic assignment such as the Grand Canyon University  HLT-362V Application of Statistics in Health Care depends on the preparation done beforehand. The first thing to do once you receive an assignment is to quickly skim through the requirements. Once that is done, start going through the instructions one by one to clearly understand what the instructor wants. The most important thing here is to understand the required format—whether it is APA, MLA, Chicago, etc.

After understanding the requirements of the paper, the next phase is to gather relevant materials. The first place to start the research process is the weekly resources. Go through the resources provided in the instructions to determine which ones fit the assignment. After reviewing the provided resources, use the university library to search for additional resources. After gathering sufficient and necessary resources, you are now ready to start drafting your paper.

How to Write the Introduction for HLT-362V Application of Statistics in Health Care                                

The introduction for the Grand Canyon University  HLT-362V Application of Statistics in Health Care  is where you tell the instructor what your paper will encompass. In three to four statements, highlight the important points that will form the basis of your paper. Here, you can include statistics to show the importance of the topic you will be discussing. At the end of the introduction, write a clear purpose statement outlining what exactly will be contained in the paper. This statement will start with “The purpose of this paper…” and then proceed to outline the various sections of the instructions.

How to Write the Body for HLT-362V Application of Statistics in Health Care                                

After the introduction, move into the main part of the HLT-362V Application of Statistics in Health Care       assignment, which is the body. Given that the paper you will be writing is not experimental, the way you organize the headings and subheadings of your paper is critically important. In some cases, you might have to use more subheadings to properly organize the assignment. The organization will depend on the rubric provided. Carefully examine the rubric, as it will contain all the detailed requirements of the assignment. Sometimes, the rubric will have information that the normal instructions lack.

Another important factor to consider at this point is how to do citations. In-text citations are fundamental as they support the arguments and points you make in the paper. At this point, the resources gathered at the beginning will come in handy. Integrating the ideas of the authors with your own will ensure that you produce a comprehensive paper. Also, follow the given citation format. In most cases, APA 7 is the preferred format for nursing assignments.

How to Write the Conclusion for HLT-362V Application of Statistics in Health Care                                

After completing the main sections, write the conclusion of your paper. The conclusion is a summary of the main points you made in your paper. However, you need to rewrite the points and not simply copy and paste them. By restating the points from each subheading, you will provide a nuanced overview of the assignment to the reader.

How to Format the References List for HLT-362V Application of Statistics in Health Care                                

The very last part of your paper involves listing the sources used in your paper. These sources should be listed in alphabetical order and double-spaced. Additionally, use a hanging indent for each source that appears in this list. Lastly, only the sources cited within the body of the paper should appear here.

Stuck? Let Us Help You

Completing assignments can sometimes be overwhelming, especially with the multitude of academic and personal responsibilities you may have. If you find yourself stuck or unsure at any point in the process, don’t hesitate to reach out for professional assistance. Our assignment writing services are designed to help you achieve your academic goals with ease. 

Our team of experienced writers is well-versed in academic writing and familiar with the specific requirements of the HLT-362V Application of Statistics in Health Care assignment. We can provide you with personalized support, ensuring your assignment is well-researched, properly formatted, and thoroughly edited. Get a feel of the quality we guarantee – ORDER NOW. 

Sample Answer for HLT-362V Application of Statistics in Health Care

Statistics refers to the science concerned with studying and developing procedures or methods gathering, analyzing, interpreting, and presenting empirical data for decision-making purposes. Statistics is applied in different sectors to determine trends and predict the future performance of different processes. In healthcare, statistics serve different purposes, including measurement of quality improvement processes, measuring performance, predicting the future trends in the healthcare delivery processes, enhancing research and evidence-based practices. Statistics has become a cornerstone of healthcare companies in measuring the failures and success of different processes. Therefore, the purpose of this assignment is to discuss the application of statistics in healthcare.  

Application of Statistics in Healthcare 

The information drawn from the studies involving statistics is often used to guide decision-making processes in healthcare organizations. Today, healthcare organizations widely apply statistics to determine the level of performance and the outcomes of different processes. Governmental institutions, particularly those involved in the development of healthcare policies, rely on statistical data to determine the population’s overall well-being (McGee et al., 2018). To enhance the delivery of quality care, healthcare institutions and pharmaceutical companies ought to understand patients to evaluate the risks associated with them and institute the best treatments for effective outcomes. Statistical information is therefore essential in the assessment or evaluation processes for better treatment procedures to be conducted.  

Due to increased competition in the healthcare sector and the increased number of patients, healthcare companies continue to struggle to efficiently quality healthcare services. As a result, research processes are always needed to determine successes and failures. The research processes often rely on the data/information collected and stored in the healthcare databases. The application of statistical knowledge to analyze, interpret and present data is necessary to determine possible areas of weaknesses in healthcare systems. Valid and applicable statistical information can be applied to determine future outcomes in healthcare delivery processes as a scenario that may inform possible changes required to ensure continuous quality performance. Most healthcare institutions are involved in the collection and storage of data at every stage of treatment processes. Capture and storage of these data require the application of statistical knowledge (Marques et al., 2018). Besides, the data gathered can be applied in clinical trials to determine quality treatment approaches that can be applied to reduce errors and increasing problems such as healthcare-acquired infections. Through clinical trials, medical researchers have been able to identify the adverse effects of drugs and some procedures used in the treatment of patients.        

ALSO READ:

HLT-362V Application of Statistics in Health Care

HLT-362V Topic 5 ASSIGNMENT 2 Summary and Descriptive Statistics

The understanding of the prevalence of diseases requires statistical methods. Healthcare institutions require advanced information on how to manage different forms of diseases. For instance, when there is an outbreak of infectious diseases, healthcare institutions often engage inadequate preparations for the management of possible patient influx; they mostly utilize the knowledge of statistics to determine trends or the levels of infections. Further, epidemiology, which is a major area of medical research, entirely relies on statistical knowledge. Epidemiology, also referred to as biostatistics, is an integration of statistics and microbiology to facilitate studies of diseases among populations.   

The knowledge of statistics is significant to quality improvement, the safety of healthcare delivery, health promotion, and leadership. Quality improvement processes rely on statistical knowledge to determine the evaluation of the outcomes and the procedures that can be undertaken (Ekin, 2019). Setting safety standards in healthcare facilities rely on the data analysis outcomes and the interpretation of possible procedures that may lead to unsafe delivery of healthcare services. Finally, the knowledge of statistics in healthcare has great significance in leadership and management. To make correct decisions, leaders and healthcare managers rely on the outcomes of the statistical research outcomes. Leaders also apply statistical knowledge to predict results, address complex or technical issues, and provide an elaborate solution to general problems impacting healthcare institutions. 

How Statistical Knowledge Is Utilized in My Healthcare Organization 

In my organization, statistical knowledge is applied to determine trends in patient admission and nurse-to-patient ratio. The trends are always determined after careful analysis of medical information or data that have been collected for a given period. For my organization, the presence of statisticians who are continuously involved in the research processes has been a blessing to the organization, particularly setting operational standards and recruiting enough nurses for better services amidst the increasing number of patients. 

Moreover, data collection processes in my healthcare organization involve the use of technology. There are well-established EMR systems and databases that facilitate the capture and storage of clinical data. Patient information/data are always taken from the point of admission, treatment processes, and discharge. Healthcare professionals are well trained on how to apply the EMR systems to capture patient data. At the moment, the organization has a wide array of data that can be analyzed and the outcomes used in the decision-making processes.   

Conclusion 

Statistics refers to the science concerned with studying and developing procedures or methods gathering, analyzing, interpreting, and presenting empirical data for decision-making purposes. The knowledge of statistics is important in different sectors. Today’s operational processes rely on data that can only be generated and analyzed by those with knowledge of statistics. Today, statistics is widely applied by healthcare organizations to determine the level of performance and the outcomes of different processes. Governmental institutions, particularly those involved in the development of healthcare policies, rely on statistical data to determine the population’s overall well-being. 

References 

Ekin, T. (2019). Health care systems and fraud. Statistics and Health Care Fraud, 1-30. 

Marques, C. S., Santos, G., Marques, V., & Ramos, E. (2018, September). The impact of knowledge creation, acquisition, and transfer on innovation in the healthcare sector. In European Conference on Knowledge Management (pp. 494-502). Academic Conferences International Limited. https://www.proquest.com/openview/56146799514cd6f30fadfe7f6739975b/1?pq-origsite=gscholar&cbl=1796412 

McGee, D., Lorencatto, F., Matvienko-Sikar, K., & Toomey, E. (2018). Surveying knowledge, practice, and attitudes towards intervention fidelity within trials of complex healthcare interventions. Trials, 19(1), 1-14. https://trialsjournal.biomedcentral.com/articles/10.1186/s13063-018-2838-6 

Sample Answer 2 for HLT-362V Application of Statistics in Health Care

The Healthcare system and practices are constantly changing to improve the quality of care delivered to the patients. Evidence-based practices help in identifying the areas that need to improve based. However, the first step in the change process requires identification of the needs, and this is achieved by gathering relevant data, analyzing and interpreting them. Therefore, statistical application is critical in healthcare delivery. Meaningful data analysis allows clinicians and other healthcare providers to make informed decisions. It becomes easy to justify the change process when having enough data to support the need. The current paper discusses the significance of statistical applications in healthcare.

Significance of Statistical Application to Quality and Safety

According to Petrie and Sabin (2019), the statistical application helps in improving safety and the quality of healthcare delivery. For example, the introduction of the Medicaid readmission program aimed at reducing the cases of patients readmitted 30 days after discharge. In such cases, the hospitals must record the number of people admitted in the hospitals, those discharged, and the ones who are readmitted within 30 days to determine the readmission rate. Each hospital needs to keep the rate below the recommended national value. In such a case, the statistical applications help in promoting quality healthcare delivery. Similarly, analysis can be done to determine the major contributing factors to the increased cases of readmissions. While there could be many factors, their impact on the health issue varies, and so the statistical analysis helps the hospital to determine the most significant burden to be prioritized.

Furthermore, Vellido (2019) indicates that statistical applications involve creating charts, and this helps in identifying the signals on the areas of concern. Similarly, the laboratory units in the hospitals are required to chart temperatures and other variables over time. The trends in the variables can be used to determine whether any of the outcomes lie outside the expected range. In the same way, the hospital can monitor incidences of mortalities and readmissions within thirty days to identify days with outrageous outcomes. The abnormal record can raise the alarm that eventually leads to an inquiry process with the goal of improving the quality of healthcare services to the patients.

Evidence-based practice development depends mainly on data analysis and statistical applications. As the nurses and other healthcare providers interact with the patients, they determine the key health determinants. The data collected are then used in determining the key areas in the population that needs to be addressed. For example, various studies have indicated the incidences of childhood obesity are on the rise, and this necessitates urgent interventions. In such a case, data on the life patterns among the population are collected and used to determine the best approaches to addressing the issue. The case illustrates how statistical applications are useful in promoting population health. Health promotional activities begin by analyzing the life patterns among the people in a community and using the information to develop a customized response. Also, as part of the public health promotion, statistical applications have been used to track the Covid-19 infection rates, and this has been used to guide the healthcare policy and response measures.

Statistics Knowledge and Application

Obtaining data for statistical analysis is also essential; using dubious methods could result in unrealistic data. The data to be analyzed in this case were obtained from the hospital health records systems. The healthcare institution uses an electronic health system and so captures various data (Suman & Prajapati, 2018). Also, the data may be collected through the interviews from the interactions between the healthcare providers and the patients. The approach provides comprehensive data that health the healthcare providers understand the magnitude of the burden presented by the healthcare issue.

Statistical knowledge is important and is used on a daily basis. Healthcare providers interact with data on a daily basis, beginning from scheduling the patients and offering the best clinical care (Suman & Prajapati, 2018). Understanding the patients’ flow allows the healthcare facilities to determine the number of healthcare providers required to facilitate the smooth flow of the patients. In terms of decision-making, the data on the number of patients scheduled for a given day can be used to decide on the number of observation rooms and consultation units needed to effectively attend to the patients. Besides, by analyzing the amount of time taken in the consultation room by the patients, the healthcare providers are able to manage their queues accordingly.

Conclusion

Finally, statistical applications are part of the daily experiences in the healthcare delivery process. The healthcare providers interact with their patients and gather relevant data, which are analyzed and used to make decisions on how to improve the experiences of the patients. Statistical analysis helps organizations make appropriate decisions, improve the quality of healthcare delivery and identify warning indicators in their daily operations.

References

Petrie, A., & Sabin, C. (2019). Medical statistics at a glance. John Wiley & Sons.

Suman, G., & Prajapati, D. (2018). Control chart applications in healthcare: A literature review. International Journal of Metrology and Quality Engineering, 9, 5. https://doi.org/10.1051/ijmqe/2018003

Vellido, A. (2019). The importance of interpretability and visualization in machine learning for applications in medicine and health care. Neural Computing and Applications, 32(24), 18069-18083. https://doi.org/10.1007/s00521-019-04051-w