Big Data Risks and Rewards Discussion

Big Data Risks and Rewards Discussion

Description of at least one potential benefit of using big data as part of a clinical system and explain why

The use of big data in healthcare companies is beneficial to users as well as staff working in such businesses. To begin, it provides well-organized documentation and an efficient recording system, both of which influence the outcome of the patient. Using a big data system might help save expenses and boost efforts to make documents readily available for important health decisions when needed. The use of big data systems has helped businesses transition to value-based business models, improving the quality of care provided to patients, the effectiveness of treatments, and patients’ overall health. According to Gamache et al. (2018), the use of big data might result in a more satisfying overall experience, the avoidance of needless deaths, more efficient monitoring, and more well-informed choices Big Data Risks and Rewards Discussion.

ORDER A PLAGIARISM FREE PAPER NOW

Describe at least one potential challenge or risk of using big data as part of a clinical system and explain why

Big Data’s immense size, which makes it susceptible to errors caused by humans, is one of the features that makes it the most challenging. The size provides an indication of the greatest amount of information that may be inferred as well as the maximum quantity of data that can be saved. However, there is also the possibility that anything may be left out. According to Sousa et al. (2019), one of the parts of data analysis that nurse leaders find to be the most aggravating is the possibility that some of the characteristics that are the most essential to them are missing from the data. In addition, there is a pattern of nurses getting paperwork confused with one another, which may be difficult to rectify. Because so many people have access to the massive volumes of data in the big data system, a further concern is the potential for privacy to be inadvertently compromised. Accessing information on patients who are not assigned to other people should need additional authorization in the system if this problem is mitigated effectively. This should be built such that it happens automatically. It is possible that fewer persons may be able to access patient information as a result of this.

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

When working with large amounts of data, many different actions may be taken to mitigate the risk of making mistakes due to human error. It is possible to include a number of different components into the data study strategy to improve the data entry and evaluation (Song and Song, 2019). It is possible that using a database that takes data from several sources and populates itself automatically would help cut down on the number of errors that occur. Even if there is a mistake made, it is possible that correcting it will be less complicated in this scenario. It is essential for nurses to do a second check to ensure that correct data has been entered. When working with a massive quantity of data, the most important thing to remember is to verify that everything is accurate twice Big Data Risks and Rewards Discussion.

 

References

Gamache, R., Kharrazi, H., & Weiner, J. P. (2018). Public and population health informatics: the bridging of big data to benefit communities. Yearbook of medical informatics, 27(01), 199-206. https://www.thieme-connect.com/products/ejournals/html/10.1055/s-0038-1667081

Song, J., & Song, T. M. (2019). Social big-data analysis of particulate matter, health, and society. International journal of environmental research and public health, 16(19), 3607. https://www.mdpi.com/541842

Sousa, M. J., Pesqueira, A. M., Lemos, C., Sousa, M., & Rocha, Á. (2019). Decision-making based on big data analytics for people management in healthcare organizations. Journal of medical systems, 43(9), 1-10. https://www.researchgate.net/profile/Alvaro-Rocha-3/publication/334612526_Decision-Making_based_on_Big_Data_Analytics_for_People_Management_in_Healthcare_Organizations/links/5d35d1d792851cd0467df32c/Decision-Making-based-on-Big-Data-Analytics-for-People-Management-in-Healthcare-Organizations.pdf?_sg%5B0%5D=started_experiment_milestone&_sg%5B1%5D=started_experiment_milestone&origin=journalDetail

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 5
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 Big Data Risks and Rewards Discussion.