Big data offers potential benefits to clinical systems but also poses challenges. It can increase clinical efficiency by allowing remote monitoring and diagnosis without physical exams. This saves time. Big data also helps healthcare organizations streamline activities and improve care delivery by identifying what works and what needs changes. However, big data requires technology and skilled data professionals to manage and analyze the large datasets, which can be a challenge. Hiring skilled professionals and ongoing training, as well as tools powered by machine learning, can help address this challenge.

1. Big Data Risks and Rewards Discussion Assignment Paper
Big Data Risks and Rewards Discussion Assignment PaperPost a description of at least one
potential benefit of using big data as part of a clinical system and explain why.As part of a
clinical system, big data offers significant benefits. First, it increases clinical efficiency while
allowing for precision health care. With big data, the clinician is able to complete routine
tasks, such as diagnosis and anticipate medical emergencies, without having to see the
patient. This is seen when wearable devices are used in telemedicine so that the clinician is
able to monitor the patient from anywhere. This means that the clinician does not have to
physically see the patient, thus ensuring timely and appropriate care delivery while saving a
great amount of time (Khana, Gupta & Dey, 2021). Secondly, big data allows a healthcare
organization to streamline activities and improve on care delivery. Big data can indicate the
activities that are working and those that are not working so that the organization is able to
make changes that facilitate improvements (Sylvia & Terhaar, 2018). For instance, big data
can show if more nurse rounding reduces patient fall rates Big Data Risks and Rewards
Discussion Assignment Paper.ORDER YOUR PAPER HEREDescribe at least one potential
challenge or risk of using big data as part of a clinical system and explain why.A potential
challenge of using big data is that it requires particular technology and knowledge
professionals to manage the data and turn it into usable information. To run the large data
tools, skilled data professionals are needed to include data engineers, data analysts and data
scientists who use the tools to make sense of the big data sets (Sewell, 2018) Big Data Risks
and Rewards Discussion Assignment Paper.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. A strategy for addressing the challenge is to acquire the
right technologies and tools, as well as recruit skilled professionals. Also, there is a need to
train personnel to ensure that they keep up with the tools even as they change with new
ones being presented. Another strategy is to purchase tools and knowledge analytics
solutions powered by machined learning and artificial intelligence. This strategy eliminates
the need for skilled data professionals so that even persons who are not data science
experts but have basic data knowledge can use the tools (Sewell, 2018)Big Data Risks and
Rewards Discussion Assignment Paper.ReferencesKhana, A., Gupta, D., & Dey, N. (Eds.)
(2021). Applications of Big Data in Healthcare: Theory and Practice. Elsevier Science.Sewell,
J. (2018). Informatics and Nursing: Opportunities and Challenges (6th ed.). Wolters Kluwer
Health.Sylvia, M. L., & Terhaar, M. F. (2018). Clinical Analytics and Data Management for the
DNP (2nd ed.). Springer Publishing Company.ORDER YOUR PAPER HEREDiscussion: Big

2. 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. 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 Assignment Paper