Discussion: Big Data Risks and Rewards

 

 

Discussion: Big Data Risks and Rewards

DISCUSIIONRESPONSES5WEEK.docx

Running head: DISCUSSION 1 RESPONSE 1

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DISCUSSION 1 RESPONSE 2

 

Respond TO EACH POST SEPARTELY , by offering one or more additional mitigation strategies or further insight into your colleagues’ assessment of big data opportunities and risks.

DISCUSSION 1

Big data pertains to the vast volume of data linked to people’s health situation from different sources at a single time. References can be from research studies, government agencies, and electronic health records. One inherent benefit of practicing big data in clinical systems includes sharing and availability of health information, improving decision-making when making medication. Has made identification risk factors that cause or lead to the diseases. The data available can be analyzed and immediate changes in behaviors that can reduce health risks or reduce harmful environment. Exposures such as therapy on cancer treatment could be put into big data and provide an overview of best treatment or cancer management. It aids in research. The Challenge or risk of using big data as part of a clinical system is the data’s security. Of which information may be hacked or stolen without the knowledge of users. It lacks privacy when it comes to confidential medical records. Patient details can be manipulated in the wrong ways; a strategy to alleviate data security is security through transmission security, anti-virus, firewalls, and data encryption.

References

Benefits and challenges of big data in healthcare: An overview of the European initiatives. (2019, November 18). OUP Academic.               https://academic.oup.com/eurpub/article/29/Supplement_3/23/5628051

Wang, Y., Byrd, T. A., & Kung, L. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Sign In.                                              https://www-sciencedirect-com.ezp.waldenulibrary.org/science/article/pii/S0040162516000500?via=ihub.

 

DISCUSSION 2

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 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/2017/11/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-bigpotential-challenges-nurse-execs

 

Running head: DISCUSSION 1 RESPONSE

1

 

 

Respon

d

 

TO EACH POST SEPARTEL

Y

 

, by offering one or more additional

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

opportunities and risks

.

 

D

I

S

C

U

S

S

I

O

N

 

1

 

Big

 

data

 

pertains

 

to

 

the

 

vast

 

volume

 

of

 

data

 

linked

 

to

 

people’s

 

health

 

situation

 

from

 

different

 

sources

 

at

 

a

 

single

 

time.

 

References

 

can

 

be

 

from

 

research

 

studies,

 

government

 

ag

encies,

 

and

 

electronic

 

health

 

records.

 

One

 

inherent

 

benefit

 

of

 

practicing

 

big

 

data

 

in

 

clinical

 

systems

 

includes

 

sharing

 

and

 

availability

 

of

 

health

 

information,

 

improving

 

decision

making

 

when

 

making

 

medication.

 

Has

 

made

 

identification

 

risk

 

factors

 

that

 

caus

e

 

or

 

lead

 

to

 

the

 

diseases.

 

The

 

data

 

available

 

can

 

be

 

analyzed

 

and

 

immediate

 

changes

 

in

 

behaviors

 

that

 

can

 

reduce

 

health

 

risks

 

or

 

reduce

 

harmful

 

environment.

 

Exposures

 

such

 

as

 

therapy

 

on

 

cancer

 

treatment

 

could

 

be

 

put

 

into

 

big

 

data

 

and

 

provide

 

an

 

overview

 

of

 

best

 

treatment

 

or

 

cancer

 

management.

 

It

 

aids

 

in

 

research.

 

The

 

Challenge

 

or

 

risk

 

of

 

using

 

big

 

data

 

as

 

part

 

of

 

a

 

clinical

 

system

 

is

 

the

 

data’s

 

security.

 

Of

 

which

 

information

 

may

 

be

 

hacked

 

or

 

stolen

 

without

 

the

 

knowledge

 

of

 

users.

 

It

 

lacks

 

privacy

 

when

 

it

 

co

mes

 

to

 

confidential

 

medical

 

records.

 

Patient

 

details

 

can

 

be

 

manipulated

 

in

 

the

 

wrong

 

ways;

 

a

 

strategy

 

to

 

alleviate

 

data

 

security

 

is

 

security

 

through

 

transmission

 

security,

 

anti

virus,

 

firewalls,

 

and

 

data

 

encryption

.

 

Reference

s

 

Benefits

 

and

 

challenges

 

of

 

bi

g

 

data

 

in

 

healthcare:

 

An

 

overview

 

of

 

the

 

European

 

initiative

s

.

 

(2019,

 

November

 

18).

 

OUP

 

Academic.

 

 

 

https://academic.oup.com/eurpub/article/29/Supplement_3/23/562805

1

 

Wang,

 

Y.,

 

Byrd,

 

T.

 

A.,

 

&

 

Kung,

 

L.

 

A.

 

(2018).

 

Big

 

data

 

analytics:

 

Understandin

g

 

its

 

capabilities

 

and

 

potential

 

benefits

 

for

 

healthcare

 

organization

s

.

 

Sign

 

In.

 

 

 

 

 

https://www

sciencedirect

com.ezp.waldenulibrary.org/science/article/pii/S0040162516000500?via=ihub

.

 

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