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WGU D220- INFORMATION TECHNOLOGY IN NURSING PRACTICE EXAM WITH QUESTIONS AND CORRECT ANSWERS.GUARANTEED PASS!!

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WGU D220- INFORMATION TECHNOLOGY IN NURSING PRACTICE EXAM WITH QUESTIONS AND CORRECT ANSWERS.GUARANTEED PASS!!

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WGU D220- INFORMATION TECHNOLOGY IN NURSING PRACTICE EXAM
WITH QUESTIONS AND CORRECT ANSWERS.GUARANTEED PASS!!


1. Define healthcare data: any data relating to the health of an individual patient or
collective population We$%^&*()_+

2. Describe the purpose of healthcare data related to nursing: The information given
can create a thorough plan that helps patient outcomes, decrease cost and develop a better
plan of care
3. What are three examples of ways healthcare data has influenced the patient care
provided by nurses: 1.) notice trends in V/S, collaborate & treat accordingly

2.) help predict analytics, ID patients at risk for certain disease processes

3.) evaluate
EBP protocols
4. Define data framework: Data information, knowledge
wisdom(DIKW) framework refers to the way data becomes a product that can be used to
positively affect patient care
5. What are the components of the DIKW framework: Data, Information,
Knowledge, Wisdom
6. How does each component depend on the previous component: D to I to K to W: Data
describes the patients disease state, health environment,

information is
data with meaning,

knowledge is information that is processed and organized so that
it relates and inter-actions are identified,

wisdom is the application of knowledge to solve problems
7. Define Informatics: the science and art of turning data into information
8. What fields does health informatics include: Bioinformatics, clinical research
informatics, public health informatics



,9. Define foundational skills: the min req/skills needed for an information driven culture
10. Define Informatics Culture: A broad term related to the application of new
information technology that impact human culture
11. Define ethical use of data and information using the AHIMA Code of Ethics:
Consistent with professional standards of practice and essential to safe






,efficient
healthcare delivery.
12. What is the nurse's primary role in the ethical use of data and information?-
: Maintaining privacy r/t PHI from public or individuals not providing direct patient care.
13. Define learning healthcare system: health system in which
internal data and experience systematically integrated with external evidence, and
knowledge is put into practice
14. What is essential to a learning healthcare system?: strong leadership, effec- tive use of
data in the clinical setting, and both a culture and workforce committed to continuous
learning and improvement.
15. Define knowledge worker: Previous knowledge and experience are applied to take
action or intervene in some way
16. What changes in the healthcare system increased the demand for knowl- edge
workers?: Demands for safe accessible quality care
17. Define standardized languages and terminologies: Structured and controlled languages
developed according to terminology
development guidelines and approved by an authoritative body.

Ensures that a concept had the same meaning in all settings
18. What are the benefits of the use of data standardization: facilitate collecting sorting
retrieval selection and aggregation of data
19. What are the consequences if data standardization is not used?: A lack of data
standardization jeopardizes opportunities for learning because important data may not be
available for analysis
20. Define Evidence-based practice: Using current best evidence for patient care decisions
in order to improve patient outcomes
21. How can you identify reliable sources of data?: If information has .gov, .edu, or .org


, 22. Define Big Data: A collection of large data which cannot be analyzed without the use
of information technology
23. How does big data relate to Meaningful Use?: Provides insights into areas where
quality can be improved
24. How does Big Data differ from Business intelligence: Big data refers to large data sets
that exist typically within organizations where business intelligence refers to the utilization
of this data for analytical purposes from which actionable information can be derived to
make more informed business decisions.

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