30 Jun Discussion: Big Data Risks and Rewards

Order Instructions

Reminder: Discussion/Topic must in the field of Pediatrics (being use for Nurse Pediatric Provider masteral).

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.

Respond to the essay below, by offering one or more additional mitigation strategies or further insight into your colleagues’ assessment of big data opportunities and risks.

ESSAY

Using big data in healthcare sitting gives providers more information to learn about their patients and about the care they provide to these patients by collecting high quality information and using data collection tools, collecting high quality data requires optimization of data collection tolls in health care and proper use of such tools by patients and providers alike (How Big Data in Health Care Patient Outcomes, 2021)

For example, providers by using big data can identify some serious illness before it arises.

There are many benefits by using big data in health care sitting, big data improves patient’s outcome. Now with all these technologies collecting and storing data are way easier and it save patient’s time and money, medical records for example has been used in all healthcare sitting to access patient’s records when it needs. In my hospital for example, when we have recurrent patient coming back to us we just pulled his records up and get all data and information we need and that will save time for us and for the patient and it will help the provider to see all the problems he had before to help patient’s case. Big data can help identify and promptly intervene on high risk and high cost patients (Pastorino et al, 2019).

Also, big data has been shown a reduce medical errors, prevent diseases, detecting some illness in early stage, providing the best care to the patients with real time alerting, cost reduction and providing best customer service. Data builds on data, patient generated data from a clinical perspective, improves outcomes by creating a more complete picture of the patient outside of the exam room (Vyslotskyi, 2020).

The potential challenges or risk for using big data is HIPAA, privacy of patient data is crucial to protect as big data infrastructures emerge and develop in healthcare (How Big Data in Health Care Patient Outcomes, 2021).

The director of education in my healthcare facility is the one who responsible for reminding the staff that data security is so critical and they can not talk about it outside the work scoop. Also, all hired staff get education about HIPPA and they sign the HIPPA form as well.

Reference

How Big Data in Health Care Patient Outcomes. (2021, July 7). School of Public Health and Tropical Medicine of Tulane University. https://publichealth.tulane.edu/blog/big-data-in-healthcare/

Patorino, R., De Vito, C., Migliara, G., Glocker, K., Binenbaum, I., Ricciardi, W., Boccia, S. (2019). Benefits and Challenges of Big Data in Healthcare: An Overview of the European Initiatives. OUP Academic, Oxford University Press. https://academic.oup.com/eurpub/article/29/supplement_3/23/5628051

Vyslotskyi, A. (2020, November 19). How to Make the Best of Big Data in Healthcare: Benefits, Challenges, and Use Cases. N-iX. https://www.n-ix.com/big-data-health-