Posted: March 28th, 2021

Discussion: Big Data Risks and Rewards

Discussion: Big Data Risks and Rewards
When you wake in the morning, you may reach for your cell phone to reply to a few text or email messages that you missed overnight. On your drive to work, you may stop to refuel your car. Upon your arrival, you might swipe a key card at the door to gain entrance to the facility. And before finally reaching your workstation, you may stop by the cafeteria to purchase a coffee.
From the moment you wake, you are in fact a data-generation machine. Each use of your phone, every transaction you make using a debit or credit card, even your entrance to your place of work, creates data. It begs the question: How much data do you generate each day? Many studies have been conducted on this, and the numbers are staggering: Estimates suggest that nearly 1 million bytes of data are generated every second for every person on earth.
As the volume of data increases, information professionals have looked for ways to use big data—large, complex sets of data that require specialized approaches to use effectively. Big data has the potential for significant rewards—and significant risks—to healthcare. In this Discussion, you will consider these risks and rewards.
To Prepare:
Review the Resources and reflect on the web article Big Data Means Big Potential, Challenges for Nurse Execs.
Reflect on your own experience with complex health information access and management and consider potential challenges and risks you may have experienced or observed.
By Day 3 of Week 4
Post a description of at least one potential benefit of using big data as part of a clinical system and explain why. Then, describe at least one potential challenge or risk of using big data as part of a clinical system and explain why. Propose at least one strategy you have experienced, observed, or researched that may effectively mitigate the challenges or risks of using big data you described. Be specific and provide examples.

Assignment Example

Standardized Nursing Language
Standardized nursing language refers to the commonly-understood terms used in communicating nursing diagnoses, interventions and outcomes in the nursing field. The common set of terms is crucial since they enhance nursing communication globally (Adubi, Olaogun & Adejumo, 2018). When a patient is transferred from one healthcare facility to another, it will be easier to exchange the nursing notes since they are using the same terminologies that are globally understood. It will also alert nurses of new interventions that comprise of the best practices. When nurses identify new terminology, they will be keen to research about it (King Porr & Gaudine, 2017). For example, one of the latest terminologies is Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) is “failure to progress”, which is clearly understood by the nurses.
Nursing care involves collection and analysis of data in research. The research studies are carried out using common terminologies that can be used to express the intended meaning to the peers. It also helps in collecting data in a structured way thus making the data clear for all the nurses (Mollie Cummins, 2016). The terminologies are used to enhance accuracy and measure the quality of research. Additionally, the terminologies are necessary for nursing analytics while using different formats and licensing requirements. Therefore, when nurses are carrying out research, common terminologies help in efficient and accurate collection of data for proper reporting and analysis (Park & Lee, 2015). When similar terminologies are used, it is easy to abstract information from charts, tables or research discussions thus enhancing easy sharing of research studies. Nurses can thus benefit from research studies carried out in various parts of the world since they can easily derive the meaning of various terminologies.

Implementing Common Terminologies
Common terminologies are used in healthcare to meet the standards of care in a health facility. For example, the use of the Omaha System is crucial in full integration in developing Electronic Health Records (Adubi, Olaogun & Adejumo, 2018). Therefore, all hospitals can adhere to requirements of Omaha System including intervention schemes, problem classification and measurement of outcomes. When healthcare facilities use common terminologies, it is easy to measure the outcomes. It helps in assessing which hospital has the best outcomes and what the others can do to improve. On the other hand, common terminologies are used to improve the level of visibility of quality work (King Porr & Gaudine, 2017). Professionals can clearly identify the best quality of work conducted using the right procedures. However, if the common terminologies are not identified a research study cannot be embraced.
The challenges of implementing common terminologies revolve around the cost and the time taken to communicate the information to all nurses. The information should be written in peer-reviewed studies and then circulated to the nurses (King Porr & Gaudine, 2017). In some cases, people may lag behind and thus find that the technologies are new to them. It will also require time to reach to all the nurse leaders and the healthcare facilities (Törnvall & Jansson, 2017). Another challenge is that the terminologies should be well-researched to convince professionals that they can be used. It is also important to note that implementing the common terminologies can be challenging due to the attitudes among nurses (Park & Lee, 2015). The healthcare providers may take time before they embrace the terminologies in their work. Therefore, despite the discovery, nurses may retreat to the old terminologies thus creating confusion while carrying out research or sharing of information.

Adubi, I. O., Olaogun, A. A., & Adejumo, P. O. (2018). Effect of standardized nursing language continuing education program on nurses’ documentation of care at University College Hospital, Ibadan. Nursing open, 5(1), 37-44.
King, K., Porr, C., & Gaudine, A. (2017). Fostering academic success among English as additional language nursing students using standardized patients. Clinical Simulation in Nursing, 13(10), 524-530.
Mollie Cummins, R. N. (2016). Standardized nursing data and the oncology nurse. Clinical journal of oncology nursing, 20(3), 336.
Park, H., & Lee, E. (2015). Incorporating Standardized Nursing Languages into an Electronic Nursing Documentation System in Korea: A Pilot Study. International journal of nursing knowledge, 26(1), 35-42.
Törnvall, E., & Jansson, I. (2017). Preliminary evidence for the usefulness of standardized nursing terminologies in different fields of application: a literature review. International journal of nursing knowledge, 28(2), 109-119.


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