APPLICATION OF STATISTICAL IN HEALTH CARE HLT 362

Grand Canyon University APPLICATION OF STATISTICAL IN HEALTH CARE HLT 362-Step-By-Step Guide

This guide will demonstrate how to complete the Grand Canyon University APPLICATION OF STATISTICAL IN HEALTH CARE HLT 362 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 APPLICATION OF STATISTICAL IN HEALTH CARE HLT 362                       

Whether one passes or fails an academic assignment such as the Grand Canyon University APPLICATION OF STATISTICAL IN HEALTH CARE HLT 362 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 APPLICATION OF STATISTICAL IN HEALTH CARE HLT 362                       

The introduction for the Grand Canyon University APPLICATION OF STATISTICAL IN HEALTH CARE HLT 362 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 APPLICATION OF STATISTICAL IN HEALTH CARE HLT 362                       

After the introduction, move into the main part of the APPLICATION OF STATISTICAL IN HEALTH CARE HLT 362  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 APPLICATION OF STATISTICAL IN HEALTH CARE HLT 362                       

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 APPLICATION OF STATISTICAL IN HEALTH CARE HLT 362                       

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.

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Sample Answer for APPLICATION OF STATISTICAL IN HEALTH CARE HLT 362 Included After Question

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:

1. Describe the application of statistics in health care. Specifically discuss its significance to quality, safety, health promotion, and leadership.
2. 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.

A Sample Answer For the Assignment: APPLICATION OF STATISTICAL IN HEALTH CARE HLT 362

Title:  APPLICATION OF STATISTICAL IN HEALTH CARE HLT 362

Introduction

Today, statistics is applied in all sectors to show trends in the markets and to enhance the planning processes for the success of an organization. Statistics involves the analysis of collected data to inform the decision-making processes. Healthcare organizations mostly use statistics to show the trends in the emergence and spread of diseases, plan for the medical operation processes, and control the treatment processes, among other activities meant to increase efficiency in the healthcare system. There is always the need for healthcare systems to enhance care delivery and ensure effective patient outcomes. As a result, healthcare institutions often engage in numerous research processes. Besides, in the modern clinical setups, there is the application of evidence-based practices to enhance, diagnosis, treatments, and overall patient care.

Importance of Statistical Knowledge in Healthcare

The knowledge of statistics is used in the modeling processes to formulate the best treatment approaches that are essential for specific types of patients. Statisticians often rely on clinical data to predict and inform any possible variation in the treatment and patient management (Jahan et al., 2016). For instance, whenever there is a disease outbreak, as in the coronavirus case, clinical data collected can be used to determine the possible future trends and the number of resources that may be required to manage the situation. Statisticians may also model a system or program that may show the best precautions to take to reduce the spread of the diseases through the application of data collected. Different processes in the health care system rely on statistical data. For example, when writing a treatment or medication report, healthcare professionals often use the data that have been collected over a given period (Milic et al., 2016). As a result, healthcare professionals need to have basic or advanced knowledge in statistics to create meaningful reports and make statistically significant conclusions. The modern treatment models rely on statistical data. For instance, the development of artificial intelligence that can facilitate the medication process depends on the data and statistical trends in the healthcare system.

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Before a research process is considered medically significant, it must always pass through the statistical tests to ensure that it is statistically significant. All the above processes require significant statistical knowledge to help in the accurate analysis of every scenario from study design, data collection, data analysis, interpretation, and writing of a comprehensive medical report. Most of the medical research companies such as Center for Disease Control (CDC) and World Health Organization (WHO) depend on the statistical knowledge when it comes to drug trials, research on various diseases and study of the best medical interventions mechanisms that can lead to effective patient outcomes (Milic et al., 2016). As a result, there are always teams of epidemiologists and biostatisticians who have advanced knowledge in statistics, nature of diseases, and other healthcare activities. With the use of data in the treatment process, there is always the need for healthcare workers to show competency in healthcare informatics.

The application of statistics in the healthcare system is significant to quality improvement. To ensure efficiency in the healthcare system, there is always the need for healthcare professionals in collaboration with the researcher to carry out research to determine areas that require improvements. The use of data can, therefore, informs the ideal solution to the problems facing healthcare institutions. Therefore, the result of the clinical analysis can be used to improve the quality of care and the general treatment processes. Research processes may inform the safety measures, health promotion, and best leadership approaches that can best improve general care.

With the emergence of diseases and different complications in the healthcare settings, the provision of healthcare services often turn to be a challenge; as a result, there is always the need for healthcare professionals to identify the right strategies that can be used to improve the treatment outcome and the general safety. Therefore, statistical knowledge is required to undertake research using the clinical data available to determine the best strategies that can be used to deal with the increasing problems.

In my organization, given the introduction of technology and numerous research processes, I will mostly utilize statistics in almost all the activities, from data collection, clinical analysis, medical research, clinical reporting. The statistical knowledge will also be critical in the development of treatment and care models in line with the needs of the patients. In healthcare settings, the clinical data can be obtained from the databases. Also, in cases where there is the need to study health determinants within the communities, research models can be designed whereby data may be collected from the community members through surveys. Data analysis results are often used in the decision-making processes; they may be applied to inform quality improvement, tend in the operational processes, and the best treatment and care processes to be adopted.     

Conclusion

All these medical approaches rely on the application of data. With the development of modern technologies in the healthcare system, data collection is usually done to ensure that patient’s records are well updated for further treatment processes. Patient’s data are usually collected from the point of admission to the time of discharge. All the above activities are statistical approaches that are meant to collect data to inform decision-making processes.

References

Jahan, S., Al-Saigul, A. M., & Suliman, A. A. (2016). Attitudes to statistics in primary health care physicians, Qassim province. Primary health care research & development, 17(4), 405-414.

Milic, N. M., Masic, S., Milin-Lazovic, J., Trajkovic, G., Bukumiric, Z., Savic, M., … & Ilic, A. (2016). The importance of medical students’ attitudes regarding cognitive competence for teaching applied statistics: multi-site study and meta-analysis. PLoS One, 11(10), e0164439.

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:

1. Describe the application of statistics in health care. Specifically discuss its significance to quality, safety, health promotion, and leadership.
2. 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.

A Sample Answer For the Assignment: APPLICATION OF STATISTICAL IN HEALTH CARE HLT 362

Title:  APPLICATION OF STATISTICAL IN HEALTH CARE HLT 362

SAMPLE 2

Statistics is essential in the healthcare. Today, most healthcare institutions apply statistical knowledge in their decision-making processes. With the complexity in the medical procedures, there is always the need for research to ensure that medical approaches can lead to effective patient outcomes. The need for quality healthcare delivery calls for the application of statistics. Most healthcare institutions apply statistical analysis to measure their performance outcomes and to determine different areas that require improvements. Healthcare institutions often undertake different quality improvement programs, implement data driven processes, and maximize efficiency (Luo et al., 2016). Also, government health and human service agencies often measure the overall health and well-being of different populations through the application of statistical information. Statistical application is important in different sectors as it involves the development of trends and research processes. The purpose of this paper is to analyze the application of statistics in the healthcare system and how it can be used to improve quality service delivery.

To ensure quality improvements in the healthcare system, the application of evidence-based practices or research processes in the determination of effective interventions occurs. In most cases, researchers apply scientific methods to gather data on the samples of human populations. The process of collecting data often involves the application of statistical knowledge. For instance, there are different statistical methodologies that can be used in the data collection processes. Simple random sampling is one of the statistical methods that can be used to define a sample from a population. Healthcare institutions often benefit from understanding the consumer market characteristics such as sex, age, disabilities and income. The above forms of statistics can be used to predict the types of services that individuals are using and the levels of care that are affordable for them.

Healthcare data can always be manipulated to determine the efficiency in the approaches to be applied in quality improvements. With statistical knowledge, these data can be applied in the development of algorithms used in the treatment processes. For instance, with the emergence of robots in care delivery, data is mainly used to develop different applications applied in the treatment processes. To ensure effective development of these applications, statistical knowledge is always required. Statisticians, through collaboration with different computer experts, are able to develop efficient applications that can be used in the improvement of quality healthcare delivery processes. These applications can also be applied in the delivery of safe healthcare to the patients.

Statistical information is essential in the determination of the resources that can be applied in the production of goods and services, the combination of goods and services to be produced, as well as the populations to serve. Further, healthcare statistics is essential in the production efficiency and allocation. In most cases, adherence to the valid statistical information minimizes the risk associated with health tradeoffs. In different economies, healthcare suppliers often strive to make effective goods and services efficiently (Mahatma et al., 2016). Statistics is critical for the healthcare organizations when it comes to the measurement of performance success and failures. Statistical approaches can be applied in the building of benchmarks and the standards of service excellence. Quality improvement managers can apply statistics to predict and measure future trends and the results of the current treatment processes. With the statistical knowledge, healthcare analysts are able to chart the overall growth and the ability of a healthcare institution to survive using data that has been gathered over time. Through the determination of effective health outcomes, statistical knowledge can be used in healthcare promotion and in the development of effective leadership in the healthcare sector.

In my healthcare organization, statistical knowledge is applied in the analysis of the rates of patients’ admission and discharge. Statistical algorithms are also applied in the analysis of treatment processes to determine areas that require improvements. Over the last five years, while working as a registered nurse, my institution has been able to apply the knowledge of statistics to determine trends in the patient admission. The above has led to effective organization of the work environment and the determination of effective nurse to patient ratio. In the process of operations, statistical data is often obtained from the point of admission. In other words, when a patient is admitted into the hospital, details are captured and stored in the databases through EHR system (Batarseh & Latif, 2016). The captured data are always analyzed after sometimes to determine the trends in patient admission. Also, the data is always collected at the point of discharge. Some of the data collected during admission include patient’s biodata, types of diseases or complications, as well as other details that are essential in the patient’s analysis. The trends obtained in the process of data analysis are often used in the decision-making processes.

In conclusion, the application of statistics in healthcare is important in the decision-making processes. In my healthcare organization, the application of statistics has led to the quality improvement in the healthcare delivery processes. Most healthcare institutions apply statistical analysis to measure the performance outcomes and to determine different areas that require improvements. Statistical information is essential in the determination of the resources that can be applied in the production of goods and services, the combination of goods and services to be produced, as well as the populations to serve.               

References

Batarseh, F. A., & Latif, E. A. (2016). Assessing the quality of service using big data analytics: with application to healthcare. Big Data Research, 4, 13-24.  https://doi.org/10.1016/j.bdr.2015.10.001

Luo, J., Wu, M., Gopukumar, D., & Zhao, Y. (2016). Big data application in biomedical research and health care: a literature review. Biomedical informatics insights, 8, BII-S31559.  https://doi.org/10.4137/BII.S31559 Mahatma, S., Mojsilovic, A., Ramamurthy, K. N., Varshney, K. R., Wei, D., & Yuen-Reed, G. (2016). U.S. Patent Application No. 14/699,482. https://patents.google.com/patent/US20160321748A1/en