450+ experts on 30 subjects ready to help you just now
Starting from 3 hours delivery
Remember! This is just a sample.
You can get your custom paper by one of our expert writers.Get custom essay
121 writers online
Nursing turnover is a significant problem in the healthcare systems across the globe. Employee turnover, as understood by the human resource professionals, is the rate at which an organization’s workforce terminates employment and requires replacement (Rondeau, 2016). The continuously growing number of nurses that are continuously leaving their jobs is receiving a great deal of attention due to its significant impact (Dyrbye, 2017).
Ideally, the American Healthcare system is suffering huge constraints following the high demand in healthcare and a reduction in the supply of health care services due to high nursing turnover. Besides causing burnouts among the existing nursing practitioners, the high nursing turnover has also contributed to the failure of the healthcare organizations to successfully deliver its services hence resulting in significant consequences such as high rate of mortality (Dyrbye, 2017). As such, there is a need to initiate proper change management to ensure that the problem is solved.
Connecting the Problem and the Advanced Analytics ProgramThe decision tree is a predictive machine-learning algorithm that is used to supervise the learning problems in an entity. Essentially, this program can be used to make predictions about unknown future events (Meng, 2016). With the advancements in analytics, this predictive machine learning can be used to predict the various factors and critical features that are linked to the nursing turnover in the modern healthcare environment. With this advanced analytics program, the health care systems will be able to uncover the critical variables that can trigger the nursing turnover rate in the future. Ideally, the results obtained from the project can be used to develop an analysis and make the suitable suggestions to ensure that the problem is mitigated.
We provide you with original essay samples, perfect formatting and styling
To export a reference to this article please select a referencing style below:
Where do you want us to send this sample?
Be careful. This essay is not unique
This essay was donated by a student and is likely to have been used and submitted before
Download this Sample
Free samples may contain mistakes and not unique parts
Sorry, we could not paraphrase this essay. Our professional writers can rewrite it and get you a unique paper.
Please check your inbox.
We can write you a custom essay that will follow your exact instructions and meet the deadlines. Let's fix your grades together!
Are you interested in getting a customized paper?Check it out!