DNP 805 Select a specific clinical problem and post a clinical question that could potentially be answered using data mining
Grand Canyon University DNP 805 Select a specific clinical problem and post a clinical question that could potentially be answered using data mining-Step-By-Step Guide
This guide will demonstrate how to complete the Grand Canyon University DNP 805 Select a specific clinical problem and post a clinical question that could potentially be answered using data mining 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 DNP 805 Select a specific clinical problem and post a clinical question that could potentially be answered using data mining
Whether one passes or fails an academic assignment such as the Grand Canyon University DNP 805 Select a specific clinical problem and post a clinical question that could potentially be answered using data mining 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 DNP 805 Select a specific clinical problem and post a clinical question that could potentially be answered using data mining
The introduction for the Grand Canyon University DNP 805 Select a specific clinical problem and post a clinical question that could potentially be answered using data mining 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.
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How to Write the Body for DNP 805 Select a specific clinical problem and post a clinical question that could potentially be answered using data mining
After the introduction, move into the main part of the DNP 805 Select a specific clinical problem and post a clinical question that could potentially be answered using data mining 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 DNP 805 Select a specific clinical problem and post a clinical question that could potentially be answered using data mining
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 DNP 805 Select a specific clinical problem and post a clinical question that could potentially be answered using data mining
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 DNP 805 Select a specific clinical problem and post a clinical question that could potentially be answered using data mining
Re: Topic 5 DQ 1
According to Alexander et al. (2019), data mining refers to analyzing large sets of data to identify valuable and understandable patterns. Such patterns can aid in forecasting trends and help with improving product safety and usability, and patient experience, and have proven to be effective in medicine and the healthcare industry. Electronic health records have tremendously improved data collection and has contributed to data mining to prevent and reduce medical errors. A question that may be answered through data mining is as follows: Does telemedicine help reduce the number of hospital readmissions for patients with congestive heart failure (CHF)? According to Reddy and Borlaug (2019), CHF is a common cause of hospitalization that accounts for almost $30 billion of expenditure in the United States. Over five million individuals are affected by CHF and studies show that there has been an increase in readmission rates for those who were hospitalized related to the disease (Garcia, 2017). Data mining techniques that may be used include tracking patterns, association, and prediction. A technique that I would not consider using is clustering analysis.
References:
Alexander, S., Frith, K., & Hoy, H. (2019). Applied clinical informatics for nurses (2nd ed.). Jones & Bartlett Learning.
Reddy, Y. N. V., & Borlaug, B. A. (2019). Readmissions in heart failure: It’s more than just the medicine. Mayo
Clinic Proceedings, 94(10),
Sample Answer 2 for DNP 805 Select a specific clinical problem and post a clinical question that could potentially be answered using data mining
The Covid 19 pandemic has left nursing across all disciplines forever changed. For some this has resulted in burn out and nursing leaving the profession. This in parallel to the nursing shortage has a potential for a negative impact in being able to provide care for those in need. The demand will continue to rise as the baby boomers continue to age in greater numbers than historically seen. What interventions are impactful in improving decreasing nursing turnover among nurses?
Data mining is looking at relationships and correlations to aims to predict outcomes. This is not a typical problem that you would think as being something that can be work on with data mining, but there are some opportunities using a principle component analysis. Data mining can reveal if there is a relationship between preventable nursing turnover and nurse salaries. Examples of unpreventable nursing turnover is retirement, relocation, death, and involuntary termination. Other variables to look at related to preventable nursing turn over would be leapfrog rating, CMS Stars, Magnet status, mandated patient ratios, workplace violence incidents, employee injuries, and union hospitals. The ability to data mine these items in comparison preventable nursing turnover will help guide what is most important to nursing to then have targeted interventions to decrease this turnover and keep nurses in the profession. One study did find a correlation with workplace violence and turnover in two large teaching hospitals (Yeh et al., 2020).
Once it is identified what seems to be the most important components that keep nurses in their roles will allow for focusing on those things to improve and then market that when recruiting nurses into the organization. With the shortage it is important to retain the nurses that you have and creatively market new ones in. This includes taking more new graduate nurses than historically taken.
Reference
Yeh, T.-F., Chang, Y.-C., Feng, W.-H., Sclerosis, M., & Yang, C.-C. (2020). Effect of Workplace Violence on Turnover Intention: The Mediating Roles of Job Control, Psychological Demands, and Social Support. Inquiry : A Journal of Medical Care Organization, Provision and Financing, 57, 46958020969313. https://doi-org.lopes.idm.oclc.org/10.1177/0046958020969313
Sample Answer 3 for DNP 805 Select a specific clinical problem and post a clinical question that could potentially be answered using data mining
With the increasing use of electronic records and computer technology, the need to develop ways to pull that data has become necessary. Data mining is the use of a particular algorithm to extract data for analysis from these databases. The process of mining for data includes defining and selecting the data and then identifying patterns within the dataset. Each algorithm allows the user to break down databases with more and more individualized information. Two types of data mining are used: Predictive and descriptive. Predictive models are utilized to predict future values based on historic details, while descriptive models find patterns within current data. (Wu et al., 2021)
Cancer is a current clinical problem that utilizes data mining for predictive and descriptive models. With so many types of cancer, stages of cancer, and even items of increased risk there is a need to analyze data to help prepare for many possibilities. The National Cancer Institutes began a mining system in 1973 to help identify and reduce the incidence of cancer. The surveillance, epidemiology and end results (SEER) program collects data across the United States, providing a wide range of sources of information for the study and development of treatment. (Yang et al., 2020)
What is interesting about this data mining process is that it takes information from all over and not just a single isolated division. It allows for an influx of information from all over that can then be broken down into items such as age, race, region of the country, medical history, and more. Because cancer is such a ticking time bomb for so many, analyzing data can help find early detection tools that are so important to the outcome of our patients.
Although there can be some mining techniques that could give way to irrelevant data, there are few that could be adverse in this particular population. Over the years, identifying what can cause or lead to cancer has included almost everything that we come into contact with. Using both a descriptive and predictive model along with many different elements may give us an actual answer. This is a monumental task. But one that is genuinely needed to kick cancer out of our vocabulary finally.
References
Wu, W.-T., Li, Y.-J., Feng, A.-Z., Li, L., Huang, T., Xu, A.-D., & Lyu, J. (2021). Data mining in clinical big data: The frequently used databases, steps, and methodological models. Military Medical Research, 8(1). https://doi.org/10.1186/s40779-021-00338-z
Yang, J., Li, Y., Liu, Q., Li, L., Feng, A., Wang, T., Zheng, S., Xu, A., & Lyu, J. (2020). Brief introduction of medical database and data mining technology in big data era. Journal of Evidence-Based Medicine, 13(1), 57–69. https://doi.org/10.1111/jebm.12373