Discussion: Big Data Risks and Rewards 

Please review the complete instructions on attached document.  

**

THIS

D

ISCUSSION IS DIVIDE IN TWO PARTS

–

0

.

MAIN DISCUSSION POST BY TUESDAY 03/

30

/

2

021 BEFORE 8:00 PM

EST

0.

TWO REPLIES BY FRIDAY

04/02

/2021 BEFORE 8:00 PM EST

Discussion: Big D

a

ta 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

st

op 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 us

e 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

st

aggering: 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 s

pecialized 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 a

rticle

 

Big Data Means Big

Potential, Challenges for Nurse Execs

. –

Please

see

attached

article
·

Reflect on your own experience with complex health information access and

management and consider potential challenges and risks you may have

experienced or observed.

Instructions

1.

Post a

descripti

on of at

least

one potential benefit of using big data as part of a

clinical system and explain why.

2

2.

D

escribe at least one potential challenge or risk of using big data as part of a

clinical system and explain why.

3.

Propose at least one strategy you h

ave experienced, observed, or researched

that may effectively mitigate the challenges or risks of using big data you

described.

Be specific and provide examples

.
**

At

least

3 references

**

–

one of them form

the

article for

the

resources

.

**THIS DISCUSSION IS DIVIDE IN TWO PARTS
–

1.

MAIN DISCUSSION POST BY TUESDAY 03/
30
/2021 BEFORE 8:00 PM
EST

2.

TWO REPLIES BY FRIDAY
04/02
/2021 BEFORE 8:00 PM EST

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 us
e 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
st
aggering: 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 s
pecialized 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
.

–

Please
see
attached

a
rticle

·

Reflect on your own experience with complex health information access and
management and consider potential challenges and risks you may have
experienced or observed.

Instructions

1.

Post a
descripti
on of at least one potential benefit of using big data as part of a
clinical system and explain why.
2

2.

D
escribe at least one potential challenge or risk of using big data as part of a
clinical system and explain why.

3.

Propose at least one strategy you h
ave experienced, observed, or researched
that may effectively mitigate the challenges or risks of using big data you
described.
Be specific and provide examples
.

**
At
least

3 references
**
–

one of them form
the

article for
the

resources
.

**THIS DISCUSSION IS DIVIDE IN TWO PARTS –

1. MAIN DISCUSSION POST BY TUESDAY 03/30/2021 BEFORE 8:00 PM

EST

2. TWO REPLIES BY FRIDAY 04/02/2021 BEFORE 8:00 PM EST

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. – Please see attached article

 Reflect on your own experience with complex health information access and

management and consider potential challenges and risks you may have

experienced or observed.

Instructions

1. Post a description of at least one potential benefit of using big data as part of a

clinical system and explain why. 2

2. Describe at least one potential challenge or risk of using big data as part of a

clinical system and explain why.

3. 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.

**At least 3 references** – one of them form the article for the resources.

3/29/202

1

Big Data Means Big Potential, Challenges for Nurse Execs | HealthLeaders Media

https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs 1/3

BIG DATA MEANS BIG POTENTIAL,
CHALLENGES FOR NURSE EXECS

ANALYSIS  |  BY JENNIFER THEW RN  |   APRIL 19, 2016

To ensure big data is used to influence outcomes that are
meaningful to the nursing profession, nurse executives need to
act as data visionaries and architects.

Have you ever found yourself poring over stacks of data, feeling more like a statistician
than a nurse? If you have, welcome to the world of big data.

“You have all of these different data sources coming at you on a weekly, monthly,
quarterly basis. The CFO has a stack of data for you, your productivity-management
engineer people have a stack of data for you, HR has a stack of data for you, and then
your quality director, your clinical folks, have a stack of data for you,” says Jane
Englebright, RN, PhD, CEBP, FAAN, chief nursing executive and senior vice president at
Nashville, Tennessee-based HCA.

“And your job is to sort through all that data and synthesize it in some way and come up
with brilliant conclusions about how to run the organization.”

Big data “typically refers to a large complex data set that yields substantially more
information when analyzed as a fully integrated data set as compared to the outputs
achieved with smaller sets of the same data that are not integrated,” according to the

https://www.healthleadersmedia.com/users/jennifer-thew-rn

3/29/2021 Big Data Means Big Potential, Challenges for Nurse Execs | HealthLeaders Media

https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs 2/3

Online Journal of Nursing Informatics.

Dealing with big data can understandably be challenging for chief nurse executives.

During a session titled, “The CNE Role in the Big Data Revolution,” at the American
Organization of Nurse Executives last month in Fort Worth, TX, Englebright and
healthcare management consultant Barbara Caspers, RN, MS, PHN, discussed
importance of shared strategies to help CNEs ready their organizations for the “big data
revolution.”

Drowning in Data

When a CNE is analyzing and synthesizing data, it’s typically done manually and is a
very time- and labor- intensive process, in part, because technology systems have
traditionally been built in silos. “Often they don’t even call the units the same thing.
They don’t name them the same thing. They don’t necessarily define them the same
way,” Englebright says.

For example, the definition of a day may vary from system to system and the way a
month is calculated in the finance systems may differ from how it is calculated in the
payroll system.  

Trying to “figure out how to keep up with your agency hours and what the cost of your
agency is in the finance system versus the scheduling system,” Englebright says, is “just
a nightmare, trying to make all of these different things sync.”

The lack of data standardization can also make it challenging for a CNE to assess how
the organization or a particular unit is performing and to make well-informed decisions
about what to change. Having good data is key to making effective changes.

“For those of us who grew-up studying the biological sciences, we understand that we
have taken a very linear, Newtonian-approach to data over something that’s really
much more like a biological system,” she explains. “When you perturb one part of our
system… it has ripple effects throughout the entire organization.”

Failure to recognize how this data interacts throughout the system has been a limitation
in the types of data analytics that have been put forth.

http://ojni.org/issues/?p=3081

http://www.aone.org/

3/29/2021 Big Data Means Big Potential, Challenges for Nurse Execs | HealthLeaders Media

https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs 3/3

“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.”

Because of this, CNEs end up having to advocate for the things they care about in a
person-on-person debate, than being able to make a persuasive business case based
on data, she says.

Jennifer Thew, RN, is the senior nursing editor at HealthLeaders.

1

<

p

>

*

*DEADL

I

NE:

FRIDAY

4/2

/2021

BY

08:00

PM

EST

**

INSTRUCTIONS:

Respon

d

 

t

o

y

our

c

olle

a

gue

,

by

of

fer

in

g

one

or

more

additional

mitig

at

ion

strategies

or fur

th

er

insight

in

to

your colleagues’

as

sessment of

big

data

opportunities

an

d

r

is

ks.

**

At le

ast 2 references

per

rep

ly

,

and

t

he

y need to support in

for

mation in

the

re

pl

y

**

STELLA

ADIMA

 
Top of

For

m

In

our

world

today

,

technological

innovation

has

be

come

so

fast

grown

and the world

can

not

do

with

out

them

in

term

s

of data

collection

and

storage.

  

Healthc

are

is one of the

business

fields

with the

highest

big data

potential.

According

to the

prevailing

d

efinition,

big data

refers

to the

fact

that

data today is

often

too

large

and

heterogeneous

and

changes

too

quickly

to be

stored,

processed,

and

trans

form

ed

into

value

by

previous

technologies

(Stefan

Rüping

2019a).

The

technological

trends

drive

big

data:

business

processes

are more and more

executed

electronically;

consumers

produce

more and more data

themselves

for

ex

am

ple

in

nursing

and in

social

networks

and

finally

ever

–

increasing

digitalization

(Stefan Rüping

201b).

Big

Data

also

is a term

use

d

for the

accumulation

of

information

regarding

the

health

–

related

data

from

an

individual

such

as health

history

and

current

medical

issues,

diagnostics

results.

sociodemographic,

l

if

estyle

choices,

etc.

This

information is

compiled

for a

target

population

and can be used in such

ways

as

clinic

al

decision

making

,

disease

management,

and

preventative

measures

(Shanthagiri

2014).

For

this

week’s

discussion

post,

I am

going

to be

talking

about

the

benefits

,

challenges

,

and mitigation strategies for

using

big data in a clinical

setting

.

 

When

care

give

r

s

are

caring

for

patient

s,

they

 

must

not

only

look

at the current information

rather

the

clinician

/care

giver has to look at

specific

detail

of the

patient’s

current

illness,

health

history,

and

cause

of the disease that is

being

treated.

One

of the benefits of being

able

to use big data in a clinical setting is the

ability

to

know

these

important

details

when

making clinical

decisions.

For

example,

if a patient

who

is

hypertensive

and has

been

see

ing

the

doctor

regular

ly

comes

in to the clinic with an

elevated

blood

pressure

level,

the ability to see the

past

data

will

allow

the clinician to

compare

the data and

map

out the disease

process.

This

would

give the clinician the

knowledge

needed

to form the

best

treatment

plan

(Laureate

Education

2018).

 
           

There

are

many

benefits for using big data as

well

as

challenges.

One of the challenges

centers

around

nursing

terminology.

The

available

data can be

most

effective

when

there

is a standardized language among clinicians. The lack of standardized language within the collection and storage of data presents a problem when common data cannot be used by all disciplines. If the data are not easily translated to a vocabulary that can be used across disciplines the contribution of nursing information to patient outcomes cannot be measured (Office of the National Coordinator for Health Information Technology 2017). The inability to collect, store, retrieve and/ or understand the data can lead to unsuccessful treatment for the patient. Another challenge in using big data in the clinical setting is the technological differences between facilities. It is very important that one system will or must be able to interface with another for the data to be retrieved. The inability to retrieve the appropriate information from the electronic health record leaves the clinician to treat only the current issue without knowing the past treatments or path of the disease.
The strategies for mitigating the challenge of the language barriers in utilizing big data begin with learning more about the extent of the issue. The use of standardized nursing terminologies (SNT) would enable the data to be used by a multidisciplinary team of clinicians with a more positive outcome for patients (Macieirs, Smith, Davis, Yao, Wikie, Loez, & Keenan 2018). The proper storage and dissemination of big data in the electronic medical record (EHR) is another way to mitigate the challenges of using big data in a

clinical setting.

The integration of nursing datasets and the analysis of the information into an EHR that can be standardized for use between facilities would enable the clinician to retrieve the information and begin the appropriate treatment (Macieirs et al 2018).

In conclusion, healthcare systems around the world are facing incredible challenges due to the ageing population and the related disability, and the increasing use of technologies and citizen’s expectations. Big Data can help healthcare providers meet these goals in unprecedented ways. The potential of Big Data in healthcare relies on the ability to detect patterns and to turn high volumes of data into actionable knowledge for precision medicine and decision makers. In several contexts, the use of Big Data in healthcare is already offering solutions for the improvement of patient care and the generation of value in healthcare organizations. This approach requires, however, that all the relevant stakeholders collaborate and adapt the design and performance of their systems. They must build the technological infrastructure to house and converge the massive volume of healthcare data, and to invest in the human capital to guide citizens into this new frontier of human health and well-being (Pastorino, R.; De Vito, C.; Migliara et al 2019)

 
 

References

Laureate Education (Producer). (2018). Health Informatics and Population Health: Analyzing Data for Clinical Success [Video file]. Baltimore, MD: Author.

Macieira, T., Smith, M. B., Davis, N., Yao, Y., Wilkie, D. J., Lopez, K. D., & Keenan, G. (2018). Evidence of Progress in Making Nursing Practice Visible Using Standardized Nursing Data: A Systematic Review. AMIA … Annual Symposium proceedings. AMIA Symposium, 2017, 1205–1214.

McGonigle, D., & Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge (4th ed.). Burlington, MA: Jones & Bartlett Learning.

Office of the National Coordinator for Health Information Technology. (2017). Standard nursing terminologies: A landscape analysis. Retrieved 03/28/2021 from

https://www.healthit.gov/sites/default/files/snt_final_05302017

Pastorino, 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. Retrieved on 03/29/2021 from

https://pubmed.ncbi.nlm.nih.gov/31738444/

Rutherford, M. A. (2008). Standardized nursing language: What does it mean for nursing practice? Online Journal of Issues in Nursing, 13(1), 1–12. doi:10.3912/OJIN.Vol13No01PPT05

Shanthagiri, V. (2014). Big Data in Health Informatics [Video file]. Retrieved 03/28/2021 from

https://www.youtube.com/watch?v=4W6zGmH_pOw.

Stefan Rüping (2015). Big data in medicine and healthcare. Retrieved on 03/29/2021 from

https://pubmed.ncbi.nlm.nih.gov/26063521/

 

Bottom of Form

**DEADLINE:

FRIDAY

4/2
/2021

BY

08:00

PM

EST**

INSTRUCTIONS:

Respon
d

to
y
our colleague
, by offering one or more additional

mitigation strategies or further insight into your colleagues’ assessment of big data

opportunities and
risks.

*
*
At le
ast 2 references

p
er
reply, and they need to support information in the reply
**

STELLA

ADIMA

In

our

world

today,

technological

innovation

has

become

so

fast

grown

and

the

world

cannot

do

without

them

in

terms

of

data

collection

and

storage.

Healthcare

is

one

of

the

business

fields

with

the

highest

big

data

potential.

According

to

the

prevailing

d
efinition,

big

data

refers

to

the

fact

that

data

today

is

often

too

large

and

heterogeneous

and

changes

too

quickly

to

be

stored,

processed,

and

transformed

into

value

by

previous

technologies

(Stefan

Rüping

2019a).

The

technological

trends

drive

big

data:

business

processes

are

more

and

more

executed

electronically;

consumers

produce

more

and

more

data

themselves

for

example

in

nursing

and

in

social

networks

and

finally

ever
–
increasing

digitalization

(Stefan

Rüping

201b).

Big

Data

also

is

a

term

used

for

t
he

accumulation

of

information

regarding

the

health
–
related

data

from

an

individual

such

as

health

history

and

current

medical

issues,

diagnostics

results.

sociodemographic,

lifestyle

choices,

etc.

This

information

is

compiled

for

a

target

population

and

c
an

be

used

in

such

ways

as

clinical

decision

making,

disease

management,

and

preventative

measures

(Shanthagiri

2014).

For

this

week’s

discussion

post,

I

am

going

to

be

talking

about

the

benefits,

challenges,

and

mitigation

strategies

for

using

big

data

in

a

clinical

setting.

When

care

givers

are

caring

for

patients,

they

must

not

only

look

at

the

current

information

rather

the

clinician/care

giver

has

to

look

at

specific

detail

of

the

patient’s

current

illness,

health

history,

and

cause

of

the

disease

th
at

is

being

treated.

One

of

the

benefits

of

being

able

to

use

big

data

in

a

clinical

setting

is

the

ability

to

know

these

important

details

when

making

clinical

decisions.

For

example,

if

a

patient

who

is

hypertensive

and

has

been

seeing

the

doctor

regular
ly

comes

in

to

the

clinic

with

an

elevated

blood

pressure

level,

the

ability

to

see

the

past

data

will

allow

the

clinician

to

compare

the

data

and

map

out

the

disease

process.

This

would

give

the

clinician

the

knowledge

needed

to

form

the

best

treatment

pl
an

(Laureate

Education

2018).

There

are

many

benefits

for

using

big

data

as

well

as

challenges.

One

of

the

challenges

centers

around

nursing

terminology.

The

available

data

can

be

most

effective

when

there

is

a

**DEADLINE: FRIDAY 4/2/2021 BY 08:00 PM EST**

INSTRUCTIONS: Respond to your colleague, by offering one or more additional

mitigation strategies or further insight into your colleagues’ assessment of big data

opportunities and risks.

**At least 2 references per reply, and they need to support information in the reply**

STELLA ADIMA

In our world today, technological innovation has become so fast grown and the world cannot do

without them in terms of data collection and storage. Healthcare is one of the business fields

with the highest big data potential. According to the prevailing definition, big data refers to

the fact that data today is often too large and heterogeneous and changes too quickly to be

stored, processed, and transformed into value by previous technologies (Stefan Rüping

2019a). The technological trends drive big data: business processes are more and more

executed electronically; consumers produce more and more data themselves for example in

nursing and in social networks and finally ever-increasing digitalization (Stefan Rüping

201b). Big Data also is a term used for the accumulation of information regarding the health-

related data from an individual such as health history and current medical issues, diagnostics

results. sociodemographic, lifestyle choices, etc. This information is compiled for a target

population and can be used in such ways as clinical decision making, disease management,

and preventative measures (Shanthagiri 2014). For this week’s discussion post, I am going

to be talking about the benefits, challenges, and mitigation strategies for using big data in a

clinical setting.

When care givers are caring for patients, they must not only look at the current

information rather the clinician/care giver has to look at specific detail of the patient’s current

illness, health history, and cause of the disease that is being treated. One of the benefits of being

able to use big data in a clinical setting is the ability to know these important details when making

clinical decisions. For example, if a patient who is hypertensive and has been seeing the doctor

regularly comes in to the clinic with an elevated blood pressure level, the ability to see the past

data will allow the clinician to compare the data and map out the disease process. This would give

the clinician the knowledge needed to form the best treatment plan (Laureate Education 2018).

There are many benefits for using big data as well as challenges. One of the challenges

centers around nursing terminology. The available data can be most effective when there is a

<

p

>

*

*DEADLINE:

FRIDAY

4/2

/

20

21

BY

08:00

PM

EST

**

INSTRUCTIONS:

R

e

sp

on

d

 

to

y

ou

r

colle

a

gue

,

by

of

fer

in

g one or more

add

it

ion

al

mitig

at

ion strategies or furth

er

insight

into

your colleagues’ assessment of

big

data

opportunities

and

r

is

ks.

**

At le

ast 2 references

per

reply, and

the

y need to support in

for

mation in the reply

**

Lori

Koltuniak

 

Introduction

The

re

is a

lot

of

learning

to

be

had

with

Big

data

other

than

the

sheer

volumes

of data to be

gleaned

for

present

and

future

use

by

nursing

for

further

analyzing

and

synthesis.

(

Threw,

2016)

The

ability

to

combine

data into a

positive

nursing

outlook

is

very

valuable

to

bring

state

of the

art

nursing

practice

that

improves

quality

patient

c

are

.

  The

combination

of big

business

and big data

brings

the ability to

dissect

information,

synthesize,

and

analyze

tech

no

logy

bringing

data to a

new

level

that

will

enhance

nursing

practices.

(Wang,

Kung

&

Byrd,

2016)

Potential

Benefit

to Big

Data

Hand

was

hing,

for

instance,

is

impacted

by big

data,

utilized

into

a

not

her

a

change

in the

way

the

hands

are

wash

ed.

  Big data

reflects

on the  

issue

of

disease

trans

mission

and the patient

–

to-patient trans mission and

continues

to

evolve

with

m

any

environm

ental

changes.

(

Glassman,2017)

 

For

example,

using

the

”Happy

Birthday”

song

was to

instill

hand

washing

washing for 20

seconds

to

help

lower

the

risk

of disease

transference

and the addition of using the

disinfectant

solution

at

ever

y

patient’s

door

befor

e

entering

the

room.

 

Since

the

Covid

19

insurgence,

there

is another way to wash hands that

takes

about

a

minute.

   The

utilization

 of big data is

paramount

in

controlling

 

contamination

while

analyzing the

effectiveness

of new data is ever-

evolving

and r

elentless

fight.

(McGonigle

&

Mastrin,

2018)

Potential

Ch

all

enge

to Big Data

Resistance

to change

especially

the

rapid

turnover

of technology and

implementation

of new

protocols

  is

felt

by all

patients

and

nurses

alike,

”

This

is the way

we’ve

always

done

it”

is the

resistance

to change

regardless

of big

data.

The

Radio

–

frequency

device

(RFID)has

been

introduced

to

my

unit,

labor

and

delivery

it is

mandated

that

they

should

be

worn

,

in

retaliation

they are not worn and

therefore

no data is

being

recorded

on nurses

doing

any patient

rounding.

( Glassman,2017)   This

particular

piece

of data was introduced for patient

safety

and

intervention

in

falls

protocols.

 

Summary

It is easy to see that acquiring big data helps bring about change and new protocols meant to benefit the patient and the nurse. The use of big business practices at looking at data with big data accumulation brings about big changes and challenges.  Incorporating new technologies brings with it progress and improvement in delivering care.

 

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

 

McGonigle, D. & Mastrian, K.G. (2018).  Nursing informatics and the foundation of knowledge(4tn

ed.)Burlington, MA: Jones & Bartlett Learning pg

Threw, J., (2016), Big data means big potential, Challenges for nurse execs. Retrieved from

https://www.healthledersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs

Wang, Y., Kung, L., & Byrd, T. A., (2018). Big data analytics:  Understanding its capabilities and potential

benefits for healthcare organizations.  Technological Forecasting and Social change 126(1)  pages   3-13

Bottom of Form

**DEADLINE:

FRIDAY

4/2
/2021

BY

08:00

PM

EST**

INSTRUCTIONS:

Respon
d

to
y
our colleague
, by offering one or more additional

mitigation strategies or further insight into your colleagues’ assessment of big data

opportunities and
risks.

*
*
At le
ast 2 references

p
er
reply, and they need to support information in the reply
**

Lori

Koltuniak

Introduction

There

is

a

lot

of

learning

to

be

had

with

Big

data

other

than

the

sheer

volumes

of

data

to

be

gleaned

for

present

and

future

use

by

nursing

for

further

analyzing

and

synthesis.

(Threw,

2016)

The

ability

to

combine

data

into

a

positive

nursing

outlook

is

very

valuable

to

bring

state

of

the

art

nursing

practice

that

improves

quality

patient

care.

The

combination

of

big

business

and

big

data

brings

the

ability

to

dissect

information,

synthesize,

and

analyze

technology

bringing

data

to

a

new

level

that

will

enhance

nursing

practices.

(Wang,

Kung

&

Byrd,

2016)

Potential

Benefit

to

Big

Data

Handwashing,

for

instance,

is

impacted

by

big

data,

utilized

into

another

a

change

in

the

way

the

hands

are

washed.

Big

data

reflects

on

the

issue

of

disease

transmission

and

the

patient
–
to
–
patient

trans

mission

and

continues

to

evolve

with

many

environm
ental

changes.

(

Glassman,2017)

For

example,

using

the

”Happy

Birthday”

song

was

to

instill

handwashing

washing

for

20

seconds

to

help

lower

the

risk

of

disease

transference

and

the

addition

of

using

the

disinfectant

solution

at

every

patient’s

door

befor
e

entering

the

room.

Since

the

Covid

19

insurgence,

there

is

another

way

to

wash

hands

that

takes

about

a

minute.

The

utilization

of

big

data

is

paramount

in

controlling

contamination

while

analyzing

the

effectiveness

of

new

data

is

ever
–
evolving

and

r
elentless

fight.

(McGonigle

&

Mastrin,

2018)

Potential

Challenge

to

Big

Data

Resistance

to

change

especially

the

rapid

turnover

of

technology

and

implementation

of

new

protocols

is

felt

by

all

patients

and

nurses

alike,

”This

is

the

way

we’ve

always

done

it”

is

the

resistance

to

change

regardless

of

big

data.

The

Radio
–
frequency

device

(RFID)has

been

introduced

to

my

unit,

labor

and

delivery

it

is

mandated

that

they

should

be

worn,

in

retaliation

they

are

not

worn

and

therefore

no

data

is

being

recorded

on

nurses

doing

any

patient

rounding.

(

Glassman,2017)

This

particular

piece

of

data

was

introduced

for

patient

safety

and

intervention

in

falls

protocols.

**DEADLINE: FRIDAY 4/2/2021 BY 08:00 PM EST**

INSTRUCTIONS: Respond to your colleague, by offering one or more additional

mitigation strategies or further insight into your colleagues’ assessment of big data

opportunities and risks.

**At least 2 references per reply, and they need to support information in the reply**

Lori Koltuniak

Introduction

There is a lot of learning to be had with Big data other than the sheer volumes of data to be

gleaned for present and future use by nursing for further analyzing and synthesis. (Threw, 2016)

The ability to combine data into a positive nursing outlook is very valuable to bring state of the

art nursing practice that improves quality patient care. The combination of big business and big

data brings the ability to dissect information, synthesize, and analyze technology bringing data to

a new level that will enhance nursing practices. (Wang, Kung & Byrd, 2016)

Potential Benefit to Big Data

Handwashing, for instance, is impacted by big data, utilized into another a change in the way the

hands are washed. Big data reflects on the issue of disease transmission and the patient-to-

patient trans mission and continues to evolve with many environmental changes. (

Glassman,2017) For example, using the ”Happy Birthday” song was to instill handwashing

washing for 20 seconds to help lower the risk of disease transference and the addition of using

the disinfectant solution at every patient’s door before entering the room. Since the Covid 19

insurgence, there is another way to wash hands that takes about a minute. The utilization of big

data is paramount in controlling contamination while analyzing the effectiveness of new data is

ever-evolving and relentless fight. (McGonigle & Mastrin, 2018)

Potential Challenge to Big Data

Resistance to change especially the rapid turnover of technology and implementation of new

protocols is felt by all patients and nurses alike, ”This is the way we’ve always done it” is the

resistance to change regardless of big data. The Radio-frequency device (RFID)has been

introduced to my unit, labor and delivery it is mandated that they should be worn, in retaliation

they are not worn and therefore no data is being recorded on nurses doing any patient rounding. (

Glassman,2017) This particular piece of data was introduced for patient safety and intervention

in falls protocols.