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Lilia Roy
Discussion Week 4
Nursing makes up a large amount of health care.
As technology grows and evolves, it is often nursing that is in the front line of all the new electronic records, and they are the ones who are creating all this data by inputting all the information in computer systems.
Nurses input all information the impacts patient outcomes and diagnosis (Macieira et al., 2018).
Electronic records can be accessed from anywhere in a hospital setting, and all the information that was added, such patient visits and diagnosis along with relevant information such allergies and medication can be lifesaving to patients with comorbidities.
Big data is described as a process of using software to sort through data to discover patterns and ascertain or establish relationship (Mcgonigle & Mastrian, 2018).
Electronic records can create algorithms that can be used for data and can be used to predicting illness in populations.
Big data can also be helpful to find cause and analysis, such as SSIs in hospitals.
The data can generate people who are more at risk of getting infections post-surgery from the data they have from patient history and physical.

Nurses can retrieve information from old records that are recorded in the electronic document.
Big Data has its challenges such as security, HIPPA, data subjects where the data is going to be pulled to be analyzed, finally where it will be stored (Big Data in HealthInformatics[ Video File], 2014).
The ability to implement all this information will deliver excellent care to patients in the future.
Along with all the technology available and all the questions that are asked such social demographics, we can understand many things from the patient’s habits and where the nursing teaching can be done for the patient to have a better outcome for their disease process.
An example, the data can demonstrate that the patient continues to come to be seen for high blood pressure. The doctor can see that he is on certain medications. They can be changed or discontinued that leads to the health care team to address what other things might be an issue for further evaluation, such as new tests or labs for the patient.
Big Data gives health care provides so much information in a short time by accessing patient records.

References
Big Data in HealthInformatics[ Video file] [Video]. (2014). https://www.youtube.com/watch?v=4W6zGmH_pOw
Guest editorial: Basing practice on the best available evidence: A new inclusion in nursing & health sciences: Best practice information sheets. (2010). Nursing & Health Sciences, 12(3), 287–287. Retrieved June 19, 2020, from https://doi.org/10.1111/j.1442-2018.2010.00547.x
Macieira, T. G., Smith, M. B., Davis, N., Yao, Y., Wilkie, D. J., Dunn Lopez, K., & Keenan, G. (2018, April 16). Evidence of Progress in Making Nursing Practice Visible Using Standardized Nursing Data: a Systematic Review. AMIA Annu Symp Proc. 2017; 2017: 1205–1214.. Retrieved June 19, 2020, from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5977718/
Mcgonigle, D., & Mastrian, K. (2018). Nursing informatics and the foundation of knowledge (4th ed.). Jones & Bartlett Learning.
Silvia Bonilla RE: Discussion – Week 4COLLAPSE
Main Question Post

According to McGonigle and Mastrian (2018), “Hospitals and medical centers have more to gain from big data analytics than perhaps any other industry” (p. 197). Sensmeier (2015) writes that The McKinsey Global Institute defines big data as “datasets whose sizes are beyond the ability of typical database software tools to capture, store, manage, and analyze” (p.24). The problem that hospitals are currently facing is not on how to analyze the data but how to store it (McGonigle & Mastrian, 2018). As with any technology, big data has its benefits and challenges. One of the most important benefits of using big data as part of a clinical system is the ability to enter data once and reuse that data multiple times. It is essential for a clinical system to be able to share and compare data to inform outcomes; this allows nurses as knowledge workers to leverage that clinical data (Sensmeier, 2015).

One challenge of using big data as part of a clinical system is the lack of data standardization, making it challenging to make decisions about changes when different units use different standards and terminology (Thew, 2016). Through research, I have found that to mitigate this challenge, nurses must promote standards and interoperability. One way to do this is to promote “the use of standardized and accepted terminologies that address the documentation needs of the entire care team regardless of care setting” (Sensmeier, 2015, p. 26). Nurses must also recommend “consistent use of research-based assessment scales and instruments that are standardized through an international consensus body” (Sensmeier, 2015, p.26). Until we are all on the same page, we cannot bring about the full potential that big data offers our profession and our patients.
References
McGonigle, D., & Mastrian, K. G. (2018). Nursing informatics and the foundation of knowledge (4th ed.). Jones & Bartlett Learning.
Sensmeier, J. (2015). Big data and the future of nursing knowledge. Nursing Management, 46(4), 22-27. doi: 10.1097/01.NUMA.0000462365.53035.7d
Thew, J. (2016). Big data means big potential, challenges for nurse execs.https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs
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