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NSG 371 > Exam 2 > Flashcards

Exam 2 Flashcards

1
Q

how do we chart percentages?

A

pie chart

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2
Q

most common cause of a breach of confidentiality

A

employees

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3
Q

workflow analysis

A

analyzes what is impeding a certain task

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4
Q

example of workflow analysis

A

if a hospital keeps getting complaints from staff, they need to take into account all factors and look for areas where we can improve efficiency

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5
Q

nurses responsibility in a CDSS

A

they need to be a part of the conversation; don’t make people make them and not work for you

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6
Q

data mining

A

fishing for data; process of identifying valid patterns in data

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7
Q

data analytics

A

analyzing data

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8
Q

how can we changed nurses’ view of EHR and new technologies?

A

good education on it, training sessions, everyone has a different ability in technology

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9
Q

how are databases used in healthcare?

A

to chart, to look at data, to analyze an issue, to change things

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10
Q

why do we have barcode medication administration?

A

it helps with the 6 rights

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11
Q

flat database

A

data won’t merge together

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12
Q

what are practice guidelines?

A

algorithms

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13
Q

idea of system dynamics and systems theory

A

hospitals are living breathing systems and IT touches everyone in that system

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14
Q

workflow redesign

A

when you actually fix the problem

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15
Q

things that can cause unplanned downtimes in IT

A

power outages, natural disasters, server failures

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16
Q

interoperability

A

systems can talk to each other

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17
Q

meaningful use

A

want to make sure data collecting has meaning and meaningful use

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18
Q

goal of ease of usability

A

need to be able to use the technology

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19
Q

how does nursing informatics benefit nursing?

A

makes us more efficient

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20
Q

what type of password would be the strongest?

A

complex with multiple types of characters

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21
Q

why is it important that we have standardized language?

A

interoperability is better, opinions, cultural influences

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22
Q

HITECH act of 2009

A

provided incentive for widespread adoption of health IT in the U.S. healthcare system

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23
Q

what three factors influence health IT outcomes?

A
  • usability of health IT
  • interoperability of systems
  • plan for implementation
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24
Q

workflow

A
  • any process that occurs in a healthcare system
  • dynamic, moving between levels of organization
25
Q

workflow analysis

A

examination of tasks, interactions among providers and between providers and pts., and the exchange of information using quantitative and qualitative methods

26
Q

workflow analysis methods

A
  • observing providers as they work
  • interviewing providers
  • collecting structured data with questionnaires
27
Q

task analysis

A

qualitative and quantitative method for understanding the activities associated with a particular goal of pt. care

28
Q

gap analysis

A

formal report of the gap between current, inefficient workflow and the future, desired workflow with health IT

29
Q

workarounds

A

unauthorized ways to use health IT; used by nurses and other HCPs who experience workflow problems after implementation of health IT

30
Q

clinical decision support systems (CDSS)

A

provides clinicians, staff, patients, or other individuals with knowledge and person-specific information to enhance health and health care

31
Q

exceptional patient and family experiences six critical characteristics

A
  • patient-centered
  • safe
  • effective
  • timely
  • efficient
  • equitable
32
Q

logistics

A

describes the organization of supplies and equipment to place them in the right locations at the right time for use

33
Q

supply chain management

A

refers to a system of manufactures or suppliers that is coordinated to move a product from production through distribution to consumers

34
Q

what does interoperability do to fragmentation?

A

decreases it

35
Q

slip error

A

correct action is known but an incorrect action is taken

36
Q

rule-based error

A

good rule applied in the wrong situation

37
Q

knowledge-based error

A

lacking knowledge needed to determine appropriate action

38
Q

commission error

A

doing something wrong

39
Q

omission

A

failing to do the right thing

40
Q

how does barcoding help nurses?

A

assists in timely documentation of medication administration and has the potential to decrease medication errors by as much as 86%

41
Q

who regulates the approval and recall of medical devices?

A

FDA

42
Q

downtime

A

period during which all or part of an organization’s health IT is unavailable

43
Q

flat database model

A
  • only one table is used
  • attributes are defined in separate columns
44
Q

relational database model

A

collection of tables is used and linked together by relationship between attributes within the separate tables and/or operations within the tables

45
Q

business intelligence

A

business practice of learning the techniques of data analysis to understand why buyers make decisions and to identify key processes that can make a business financially successful

46
Q

algorithms

A

set of instructions used to accomplish a task

47
Q

data-mining algorithms

A

sets of mathematical rules

48
Q

descriptive algorithms

A
  • used to explore data and identify patterns or relationships within them
  • clustering, summarization, association rules
49
Q

predictive algorithms

A
  • make predications about values of data using a set of known results
  • decision trees, artificial neural networks, instance-based learning classifiers, support vector machine modeling, bayes classifiers
50
Q

decision trees

A
  • used to aid in decision-making and in analytical research
  • tree-shaped diagram with each branch representing a possible decision
51
Q

artificial neural networks

A

based on biological neural networks in human NS

52
Q

instance-based learning classifiers

A

store labeled training data and operate similar to a computerized scholastic test

53
Q

support vector machine modeling

A

informs the program to learn from the data

54
Q

bayes classifiers/bayesian modeling

A
  • use a probabilistic approach for data classification
55
Q

clustering

A

discovers the groupings in data based on similarities in the attributes of the data

56
Q

association rules

A

designed to capture information about items frequently associated with each other

57
Q

three essential elements of CDSSs

A
  • knowledge base
  • reasoning engine
  • mechanism to communicate with the end user
58
Q

what are CDSSs?

A

a form of AI

59
Q

natural language processing (NLP)

A

taking free text from progress notes, nursing documentation, etc., and analyzing it for patterning and added meaning

NSG 371 (2 decks)

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