Your Perfect Assignment is Just a Click Away

Starting at $8.00 per Page

100% Original, Plagiarism Free, Customized to Your instructions!


assistant director of nurses

assistant director of nurses

assistant director of nurses

To begin my discussion, I would like to discuss the facility in which I work as an assistant director of nurses. I spoke with my corporate nursing consultant as well as my administrator for this assignment. Reliance healthcare corporation owns several skilled nursing facilities in the state of Arkansas. Their main office has different branches that research different areas of the healthcare system in nursing homes such as payables. They look at what each nursing home spends on each item compared to their census. Then a budget is created and given to each department (nursing, housekeeping, maintenance activities, and dietary) for each month. Using big data and algorithms, this branch would be null and void. Analysis of big data by machine learning offers considerable advantages for the assimilation and evaluation of large amounts of complex healthcare data (Ngiam & Khor, 2019). There would need to be a few to manage the machine, but no longer as many employees to configure data. With the clinical problem as the focal point, the ability of machine learning to assimilate and analyze large and diverse datasets comprising different types of clinical data makes it an invaluable aid to clinicians in making decisions for the care of their patients. Using this tool, healthcare clinicians can take into consideration more pieces of evidence than they could otherwise process and remember on their own accord.

While I was doing the budget during the month my DON was out, I learned that Reliance has certain companies they allow us to order from so they can assimilate the data to configure how much we are spending in each department on each resident. The EHR (electronic health record) is also used to run reports to configure how much we should be spending on supplements and snacks for weight loss. If the residents are not consuming the supplements, corporate knows by running reports on the amounts consumed. The drawback to big data is that if not engineered correctly, big data can be ineffective. The flaw in our system is that if the algorithm words are not put in correctly all the data will be skewed. A report can be run on supplements such as Boost and how much is consumed at each administration. This shows nursing that the resident doesn’t like the supplement and to provide something else to gain weight. If the amount consumed is not put in as mL then the algorithm cannot read and produce an accurate count of who drinks how much. Training our staff in how to run and use these reports would facilitate a more positive outcome in using these reports to help residents gain weight, and also save on the facility’s budget. Big data analytics that evolved from business intelligence and decision support systems enable healthcare organizations to analyze an immense volume, variety and velocity of data across a wide range of healthcare networks to support evidence-based decision-making and action-taking (Wang et al., 2017) In the incident and accident section of the EHR, the assessments flow fluidly, but if not started efficiently then they do not flow correctly. I feel with proper training in nursing school on EHRs and how to correctly run reports, we could see a better outcome for our residents in skilled nursing facilities. Training in every department would be required in order for the facility to run seamlessly. Failure to recognize how this data interacts throughout the system has been a limitation in the types of data analytics that have been put forth. The frustration that we often have as nurse leaders in looking at this data, is [that] some of the variables we care about the most, aren’t even in the data. Nurses don’t have something that measures nursing competence, for example. We don’t have something that measures how committed the nurses are. We don’t have something that measures if the patient is really going to do the interventions, we just invested time and money into teaching/providing them (Thew, 2016). Through education in nursing schools and orientation at new nursing jobs, we should be able to combat some of these issues.


Ngiam, K. Y., MMBS, & Khor, I. W., PhD. (2019, May). Big data and machine learning algorithms for health-care delivery. ScienceDIrect. to an external site.

Thew, J. (2016, April 19). Big data means big potential, challenges for nurse execs Links to an external site. Links to an external site.. Retrieved from

Wang, Y., Kungh, L., & Byrd, T. A. (2017). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Elsevier. to an external site.

"Place your order now for a similar assignment and have exceptional work written by our team of experts, guaranteeing you A results."

Order Solution Now

Our Service Charter

1. Professional & Expert Writers: Eminence Papers only hires the best. Our writers are specially selected and recruited, after which they undergo further training to perfect their skills for specialization purposes. Moreover, our writers are holders of masters and Ph.D. degrees. They have impressive academic records, besides being native English speakers.

2. Top Quality Papers: Our customers are always guaranteed of papers that exceed their expectations. All our writers have +5 years of experience. This implies that all papers are written by individuals who are experts in their fields. In addition, the quality team reviews all the papers before sending them to the customers.

3. Plagiarism-Free Papers: All papers provided by Eminence Papers are written from scratch. Appropriate referencing and citation of key information are followed. Plagiarism checkers are used by the Quality assurance team and our editors just to double-check that there are no instances of plagiarism.

4. Timely Delivery: Time wasted is equivalent to a failed dedication and commitment. Eminence Papers are known for the timely delivery of any pending customer orders. Customers are well informed of the progress of their papers to ensure they keep track of what the writer is providing before the final draft is sent for grading.

5. Affordable Prices: Our prices are fairly structured to fit in all groups. Any customer willing to place their assignments with us can do so at very affordable prices. In addition, our customers enjoy regular discounts and bonuses.

6. 24/7 Customer Support: At Eminence Papers, we have put in place a team of experts who answer all customer inquiries promptly. The best part is the ever-availability of the team. Customers can make inquiries anytime.