NURS 6051 Discussion Big Data Risks and Rewards

Big Data Risks and Rewards Example

Adopting new healthcare technology as information technology also advances comes with big data. According to Dash et al. (2019), big data means the enormous amount of information created by adopting technologies that collect patients’ records, which require new technology to capture, store, analyze, and assist decision-making, optimize processes, and manage hospital performance. Big data may have different potential benefits and challenges. However, some strategies can be used to overcome the risks. This discussion presents the potential benefits and challenges of using big data as part of a clinical system and the reasons behind these potential benefits or challenges. It will also propose a strategy to mitigate big data’s potential challenges or risks effectively.

The potential benefits of having big data as a part of a clinical system include improved research and better patient care. As mentioned earlier, big data means enormous amounts of information. When researchers have large volumes of information, they are more likely to collect enough data for medical research. Hassan et al. (2019) note that big data enhances better and more unbiased medical research since there is enough data from which to draw conclusions. In addition, big data in clinical systems can lead to better patient care in that adequate data volumes mean a better understanding of current patient care services. According to Shilo et al. (2020), big data enables healthcare administrators to understand patient care experiences better, thus improving them.

The potential challenges and risks of using big data in clinical systems include privacy and security issues and lack of the required talent/skillset. Big data entails patients’ personal/medical information. Thew (2016) notes that access to patient data by unauthorized persons may lead to privacy and security issues as the data can be used for phishing and scams, among other malicious intentions. In addition, managing and analyzing big data requires a certain skill set, which is a significant challenge. A combination of statistical, medical, and information technology knowledge is needed to apply big data solutions, which is hard to find.

One strategy to mitigate the risks of using big data in clinical systems is robust data privacy and security safeguards. These safeguards include biometric verification, passwords, firewall installation, and the development of institutional policies for data protection. The other strategy is providing comprehensive and quality data training for the personnel to manage big data in an institution. Therefore, using the proposed strategies will help overcome big data risks and enable an institution to enjoy big data benefits.

NURS 6051 Discussion Big Data Risks and Rewards References

Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: management, analysis and future prospects. Journal of Big Data, 6(1), 1-25. https://doi.org/10.1186/s40537-019-0217-0

Hassan, M. K., El Desouky, A. I., Elghamrawy, S. M., & Sarhan, A. M. (2019). Big data challenges and opportunities in healthcare informatics and smart hospitals. Security in Smart Cities: Models, Applications, and Challenges, 3-26. https://doi.org/10.1007/978-3-030-01560-2_1

Shilo, S., Rossman, H., & Segal, E. (2020). Axes of a revolution: challenges and promises of big data in healthcare. Nature Medicine, 26(1), 29-38. https://doi.org/10.1038/s41591-019-0727-5

Thew, J. (2016, April 19). Big data means big potential, challenges for nurse execs. Accessed 21st June 2023 from https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs

NURS 6051 Discussion Big Data Risks and Rewards Guidelines

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. Data Information-Knowledge-Wisdom discussion

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. Data Information-Knowledge-Wisdom discussion

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.

By Day 6 of Week 5

Respond to at least two of your colleagues* on two different days, by offering one or more additional mitigation strategies or further insight into your colleagues’ assessment of big data opportunities and risks.

*Note: Throughout this program, your fellow students are referred to as colleagues.

NURS 6051 Discussion: Healthcare Information Technology Trends

Throughout history, technological advancements have appeared for one purpose before finding applications elsewhere that lead to spikes in its usage and development. The internet, for example, was originally developed to share research before becoming a staple of work and entertainment. But technology—new and repurposed—will undoubtedly continue to be a driver of healthcare information. Informaticists often stay tuned to trends to monitor what the next new technology will be or how the next new idea for applying existing technology can benefit outcomes.

In this Discussion, you will reflect on your healthcare organization’s use of technology and offer a technology trend you observe in your environment.

To Prepare:

Reflect on the Resources related to digital information tools and technologies.
Consider your healthcare organization’s use of healthcare technologies to manage and distribute information.
Reflect on current and potential future trends, such as use of social media and mobile applications/telehealth, Internet of Things (IoT)-enabled asset tracking, or expert systems/artificial intelligence, and how they may impact nursing practice and healthcare delivery.

By Day 3 of Week 6

Post a brief description of general healthcare technology trends, particularly related to data/information you have observed in use in your healthcare organization or nursing practice. Describe any potential challenges or risks that may be inherent in the technologies associated with these trends you described. Then, describe at least one potential benefit and one potential risk associated with data safety, legislation, and patient care for the technologies you described. Next, explain which healthcare technology trends you believe are most promising for impacting healthcare technology in nursing practice and explain why. Describe whether this promise will contribute to improvements in patient care outcomes, efficiencies, or data management. Be specific and provide examples.