Big Data Risks and Rewards (good length and at least 3-4 references everything in APA 7 format) 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. 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. Click on the  Reply  button below to reveal the textbox for entering your message. Then click on the  Submit  button to post your message. *Note:  Throughout this program, your fellow students are referred to as colleagues. Michea Discussion ( in APA 7 format and at least 2-3 references) With the fast growing pace of technological advancement in the health care sector, daily operations of the institution helps generate millions of data that over time needs proper channels of transmission, storage, processing, assimilation and utilization. Following from the vast amount of data generated, some of its benefits includes but is not limited to functioning as a pattern discovery aid with relation to the amount of variance or similarity in .

1. Big Data Risks and Rewards (good length and at least 3-4
references everything in APA 7 format)
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

2. 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.
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.
Click on the
Reply
button below to reveal the textbox for entering your message.
Then click on the
Submit
button to post your message.
*Note:
Throughout this program, your fellow students are referred to
as colleagues.

3. Michea Discussion ( in APA 7 format and at least 2-3
references)
With the fast growing pace of technological advancement in the
health care sector, daily operations of the institution helps
generate millions of data that over time needs proper channels
of transmission, storage, processing, assimilation and
utilization. Following from the vast amount of data generated,
some of its benefits includes but is not limited to functioning as
a pattern discovery aid with relation to the amount of variance
or similarity in the cases seen by a particular health care
organization, the data bank develops a pattern memory which
helps the facility better prepare based on the statistical evidence
derived from their previous encounter with a surge of disease
only relative to the hospitals geographical location. “Pattern
discovery entails much more than simply retrieving data to
answer an end user’s query. Data mining tools scan databases
and identify previously hidden patterns. The predicative,
proactive information resulting from data mining analytics then
assists with development of business intelligence, especially in
relation to how we can improve.” (McGonigle, 2017, p477)
Another benefit of using big data is its ability to enhance
continuity, stemming from when a patient checks into the
hospital till the moment they are discharged, the vast amount of
data generated from laboratory testing, imaging or other
specialized test makes for continuity in care since every
department and or axillary health care support system can
access such data and proceed with their plan of care without
having to reduplicate efforts of redoing labs and imaging
studies before attempting to care for the patient, hence this
serves a dual purpose of efficiency in the delivery of care while
also providing the patient with a cost saving approach.
“Eliminating duplication of effort will go a long way to
simplifying and streamlining nursing workflow within EHRs.
Patient care devices (such as cardiac monitors, vital sign

4. monitors, and I.V. infusion pumps) can be linked with the EHR.
Many of them are essentially mini-computers that store and
send their discrete data to the EHR.” (Glassman, 2017, p46)
Given the leaps and bounds in the advent of health care
technological advancements, other issues that need immediate
attention is the risk and challenges associated with its use.
Unplanned power outages during inclement weather conditions
presents as a great risk factor to the use of the big data
warehouse since the resourcefulness and operability of the
system hinges on uninterrupted power supply. Another
challenge with the use of the big data system is how to keep the
system running during moments of downtime or system
upgrades, cooperation on the part of the patient to embrace new
development and the changes made to enhance their care also
presents with a risk factor to the overall functioning of the
parameters implemented in place. “The frustration that we often
have as nurse leaders in looking at this data, is [that] some of
the variables we care about the most, aren't even in the data,"
Englebright says. "We don't have something that measures
nursing competence, for example. We don't have something that
measures how committed the nurses are. We don't have
something that measures if the patient really [is] going to do the
stuff we just invested all this time in teaching them to do.”
(Thew, 2016)
Some of the strategy I have experienced and or observed that
will effectively mitigate the challenges associated with big data
includes but is not limited to utilizing the following solutions;
The use of back up generators have proven to be a more
efficient way of managing unplanned power outages while
delivering uninterrupted care to our clients. Planning of down
time and or system upgrades should be slated for when the
hospital anticipates low census like during the holidays when a
skeleton crew could manage operations within the hospital. The
concept of having a back up data storage in the cloud, will also

5. serve for the purpose of accessibility and easy retrieval of data
should the institutions primary system and data bank experience
a crash.
References
Glassman, K. S. (2017). Using data in nursing practice.
American Nurse Today, 12(11), 45–47. Retrieved from
https://www.americannursetoday.com/wp-
content/uploads/2017/11/ant11-Data-1030.pdf
McGonigle, D., & Mastrian, K. G. (2017). Nursing informatics
and the foundation of knowledge (4th ed.). Burlington, MA:
Jones & Bartlett Learning.
Thew, J. (2016, April 19). Big data means big potential,
challenges for nurse execs. Retrieved
from https://www.healthleadersmedia.com/nursing/big-data-
means-big-potential-challenges-nurse-execs
Jams Discussion ( in APA 7 format and at least 2-3 references)
Main Post
Big data refers to a large amount of information
gathered through technology which we use to generate meaning
in the world (McGonigle & Mastrian, 2018). There are many
benefits of using big data as part of a clinical system such as
quick easy access to a plethora of patient information to use by
the healthcare professionals and the patients. Glassman (2017)
states that patients being able to view their own health
information and results through patient portals keep them up to
date on labs, medications, and upcoming appointments.
The challenge of using big data as part of a clinical

6. system is seen when there are large amounts of data coming
through, but each set has its own language that needs to be
manually translated as seen with HCA (Thew, 2016).
McGonigle and Mastrian (2018) states that a strategy for sorting
through the large amounts of information coming through is to
invest in data mining techniques. There are many “data mining
techniques,” one of them uses algorithms, these techniques
place similar information into categories which makes it easier
to analyze (McGonigle & Mastrian, 2018).
References
Glassman, K. S. (2017). Using data in nursing practice.
American Nurse Today, 12
(11), 45–47. Retrieved from
https://www.americannursetoday.com/wpcontent/uploads/2017/1
1/ant11-Data-1030.pdf
McGonigle, D., & Mastrian, K. G. (2017).
Nursing informatics and the foundation of knowledge
(4th ed.). Burlington, MA: Jones & Bartlett Learning.
Thew, J. (2016, April 19).
Big data means big potential, challenges for nurse execs
. Retrieved from
https://www.healthleadersmedia.com/nursing/big-data-means-
bigpotential-challenges-nurse-execs