see attached

Required reading

Textbook chapter 6- has a small section on EMR

Attached article on Informatics- please use content

Overview

Use the information from your assigned readings, the literature, the self-paced tutorial and leaders in your organization to write a 2-3 page paper that addresses the following questions. Title page and references are not included in 2-3 page limit.  

Health care professionals have an ethical duty to ensure patient safety. Safe technologies are increasingly being implemented throughout health care organizations to improve patient safety, streamline work processes, and improve the quality and outcomes of health care delivery. In a 2-3 page paper, you will discuss one (1) technology safety initiative that has been or can be implemented in a health care setting to improve patient safety and work processes, and improve patient outcomes.

You may use one of the following examples or chose your own. Some examples are: 

· Smart pumps

· Bar code medication administration

· Clinical decision support systems

· RFID technology

· Smart rooms

· Wearable technology

· Robotics 

1.  Describe the technology and its users. 

2.  What data is gathered using the technology? 

3.  What are the benefits to patient safety, workflow processes and patient outcomes?

4.  What are the cons of this technology?

5.  Do the benefits outweigh the cons?  Provide rationale 

6. Describe the role of the nurse leader in selecting, implementing and sustaining technology. Provide 2 examples of effectiveness of the technology of patient safety, workflow processes, and patient outcomes. 

References

Minimum of four (4) total references: two (2) references from required course materials and two (2) peer-reviewed references. All references must be no older than five years (unless making a specific point using a seminal piece of information)

www.nursingmanagement.com Nursing Management • March 2019 15

NURSING INFORMATICS

The synthesis of nursing knowledge and
predictive analytics

By Whende M. Carroll, MSN, RN-BC

A
s healthcare organizations
enter the maintenance
and optimization phases
of electronic health record

(EHR) implementation, the time
has come for us to leverage the
vast amounts of data generated
by the EHR and associated tech-
nology to improve information
sharing and deliver excellent clin-
ical care and patient experience.
The evolution from simple data
collection to aggregating, track-
ing, trending, and analyzing big
data to enhance care is in flight.
Now, the ability to use even more
advanced data manipulation tech-
niques for care planning and de-
livery is, in many cases, required
to meet the needs of modern
nursing practice.1 Through the ap-
plication of emerging technolo-
gies, such as predictive analytics
and machine learning, nurses can
add tremendous value to the fu-
ture of care delivery and opera-
tions.

Nurses as knowledge workers
Nurses are knowledge workers,
performing highly variable, fo-
cused work that involves a signifi-
cant amount of information.2 In
our daily work, we use our spe-
cialized nursing skills to compile,
sift through, and find actionable
solutions using disparate data
sources and large datasets. With
explicit knowledge of clinical sci-
ence and by applying the nursing

process and critical thinking,
nurses instinctively take discrete
data elements and organize them
into information to use in every
patient experience. The applica-
tion of our nursing knowledge
and experience, married with suc-
cessful data handling, allows us
to make critical decisions at the
point of care. The result is nurses
disseminating wisdom and the

improved application of evidence-
based practice, adding immeasur-
able value to the clinical setting
and moving toward improving
the health of populations and
communities. Through advanced
data analytics, we can use this in-
formation to our advantage and
distribute the subsequent wisdom
with greater impact.

Studies have shown that nurses
spend upwards of 50% of their
time recording and managing this
assimilated information.3 By using
acquired patient data, nurses gain
information and apply knowledge
to guide practice.4 Nursing
knowledge identifies information
and creates relationships so it can
be synthesized and formalized.2

These relationships leverage the
nurse’s ability to apply inferences
to information and make a judg-
ment to determine patient prog-
ress toward expected outcomes or
identify nursing problems and in-
terventions appropriate for the
challenge. A set of vital signs is
information; however, the inter-
pretation of that information as
abnormal indicates knowledge.5

Increasingly, new ways of using
data enhance the cli

Effective
Leadership and
Management in
Nursing
Ninth Edition

Eleanor J. Sullivan
PhD, RN, FAAN

330 Hudson Street, New York, NY 10013

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