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.  Benefit of Using Big Data as Part of Clinical System Essay Paper

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 example

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The Benefit of Using Big Data

Potential benefit of using big data as part of clinical system

Using big data as part of a clinical system has a potential positive impact on health care and medical functions. Through developing trends with more data points and variables, it becomes possible to conduct productive analysis with greater accuracy. This is important for resources planning to handle future events. This is especially seen in prevention of diseases where big data allows for the disease risk factors to be identified and targeted. In fact, analyzing big data helps to yield new insights into disease risk factors thereby allowing medical personnel to engage populations in prompting population behavior changes to optimize health outcomes, reduce harmful environmental exposures, and reduce health risks (McGonigle & Mastrian, 2018).

Potential challenge/risk of using big data as part of clinical system

Although big data presents much value, it presents it presents ethical and legal concerns. The nature of big data implies using every opportunity and encounter to collect information. The access to the large volume of information offered by big data presents the risk of compromising personal autonomy and privacy. This is a real concern in telehealth (such as use of wearable technologies) where the technologies continuously collect data that is available to third parties who may not be concerned with public demand for fairness, trust and transparency. The lack of appropriate data protection in the use of emergency health technologies have made this issue a real concern (Rivas & Wac, 2018).

Strategy for effectively mitigating the identified risk

Data protection is an appropriate strategy for addressing the risk of compromising personal autonomy and privacy when using big data. This strategy has four components. The first component is adopting an information lifecycle management that values, catalogs and protects information assess to ensure regulatory compliance. The second component is data lifecycle management that shifts the data between different storages depending on age. The third component is storage system security that uses security technology and best practices to augment other network and server security measures. The final component is remote data movement that creates copies of the data in other secure locations to protect against physical damage. It also includes backup and recovery that makes offline copies of the data would be used to restore the data in the event of the data being corrupted or a disaster occurring (Rivas & Wac, 2018).

References

McGonigle, D., & Mastrian, K. (2018). Nursing informatics and the foundation of knowledge (4^th ed.). Jones and Bartlett Learning.

Rivas, H. & Wac, K. (2018). Digital Health: Scaling Healthcare to the World. Springer International Publishing. Benefit of Using Big Data as Part of Clinical System Essay Paper