Module 2: Quality Improvement: Tools and Procedures Flashcards

1
Q

Refers to collecting, evaluating, and interpreting data or information to extract meaningful insights, identify patterns, draw conclusions, and make informed decisions

A

Information Analysis

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2
Q

Mathematical science pertaining to the collection, analysis, interpretation, and
presentation of data.

A

Statistics

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3
Q

Defined as discrete entities described objectively without interpretation and can
be classified as either quantitative and or qualitative data

A

Data

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4
Q

Are measurable data that focus on numbers and frequencies such as repeat analysis data or patient waiting time

A

Quantitative Data

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5
Q

Provide information about descriptive
characteristics and are based on observation rather than measurable
data

A

Qualitative Data

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6
Q

comprises the entire set or group of items being measured

A

Population

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7
Q

is the number of items actually measured from a population

A

Sample

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8
Q

is the information measurements acquired evaluating the particular sample

A

Data Set

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9
Q

is the number of times a particular value of variables occur or the number of
observations of an event

A

Frequency

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10
Q

are those variables that are observed in statistical studies or change in response
to independent variables are not controlled during study

A

Dependent Variables

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11
Q

are those that are deliberately manipulated to invoke a change on the dependent
variables

A

Independent Variables

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12
Q

are those variable being studied that have an infinite range of possible mathematical values

A

Continuous Variables

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13
Q

are those variables being studied that have only two opposing choices such as male or female and on and off

A

Dichotomous Variables

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14
Q

Is the position of sample frequency

A

Central Tendency

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15
Q

Refers to the consistency of repeated measurements the same thing or the
reproducibility or variation of a result and sometimes as precision

A

Reliability

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16
Q

Refers to the ability to measure what is reported to the measured and sometimes
referred to as validity

A

Accuracy

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17
Q

A systematic or nonrandom difference between the true value of a property and individual measurements of that property of the presence of a systemic error

A

Bias

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18
Q

Refers to the different between measured value and the true value of the variable
being measured

A

Error

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19
Q

Refers to the difference between the highest and the lowest values of the width of
distribution values and is measure of the dispersion of the data distribution

A

Range

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20
Q

The range of variation or dispersion of a set of values surrounding the mean, or the spread or distribution of data set

A

Standard Deviation

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21
Q

Is the square of the standard deviation in Poisson statistics and use to determine
whether the separate means of several different groups differ significantly

A

Variance

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22
Q

normal distribution and creates bell-shaped curved

A

Gaussian Distribution

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23
Q

Gaussian Distribution is named after ?

A

Carl Friedrich Gauss
(German Mathematician)

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24
Q

is a discrete probability distribution that is used to determine whether events occur randomly or not.

A

Poisson Distribution

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25
Q

Poisson Distribution is named after?

A

Simeon Poisson
(French Mathematician)

26
Q

Refers to anything that would cause a process to deviate from acceptable standards

A

Variation

27
Q

Referred to as accuracy

A

Validity

28
Q

3 main types of validity

A
  • Construct Validity
  • Content Validity
  • Criterion Validity
29
Q

agree with other survey instruments, and have a
proven accuracy

A

Construct Validity

30
Q

cover all of the content area

A

Content Validity

31
Q

compares the results obtained in a survey to an
established criterion measure or benchmark

A

Criterion Validity

32
Q

7 Basic Statistical Tools

A
  • Flowchart
  • Cause and Effect Diagram
  • Histogram
  • Pareto Chart
  • Scatter Plot
  • Trend Chart
  • Control Chart
33
Q

Is a pictorial representation of individual steps that can be contained in a process

A

Flowchart

34
Q

Also called a fishbone chart or Ishikawa diagram

A

Cause and Effect Diagram

35
Q

Cause and Effect Diagram is developed by and when?

A

Kaoru Ishikawa of the University of Tokyo in 1943

36
Q

To demonstrate graphically the causes and effect of different variables or conditions on a key quality characteristics and, thereby potential areas for improvement

A

Cause and Effect Diagram

37
Q

Is a data display tool in the form of a bar graph that often plots the most frequent
occurrence of quantity in the center

A

Histogram

38
Q

was developed to illustrate the 80/20 rule (80% problems stem from 20% of the cause)

A

Pareto Chart

39
Q

The Pareto chart is a casual analysis tool that is named after?

A

Wilfredo Pareto

40
Q

demonstrates whether key indicators are moving up or down over a given
period, on an ongoing basis

A

Trend Chart

41
Q

Trend Chart is also called as?

A

run chart or run-sequence plot

42
Q

refers to the evaluation of data collected over a period for the purpose of identifying patterns or changes

A

Trending

43
Q

Is a modification of the trend chart in which statistically determined upper and
lower control limits are placed with the central line that indicates an accepted
norm

A

Control Chart

44
Q

Quality Improvement Plans

A
  • Performance Measure
  • Performance Measurement
  • Performance Management
45
Q

measure a system of care and are derived from clinical or practice guidelines

A

Performance Measure

46
Q

is a process by which a healthcare organizations monitors important aspects of its programs, system, and process

A

Performance Measurement

47
Q

Is a forward looking process that is used to set goals and regularly check progress forwarding achieving those goals

A

Performance Management

48
Q

5 Dimensions to quality in diagnostic imaging that needs to be measured

A
  • Examination Appropriateness
  • Procedure protocol or workflow
  • Accuracy of Intrepretation
  • Communication of imaging result
  • Measuring and monitoring performance improvement quality, safe and efficiency
49
Q

Problem Identification and Analysis

A

● Group Dynamics
● Thought Process Map
● Analysis Questions Matrix

50
Q

Group Dynamics

A
  • Brainstorming
  • Focus Groups
  • Quality Improvement Team
  • Quality Circles
  • Consensus/Concensus
  • Multivoting
  • Work Teams
51
Q

a group of process used to develop a large collection or ideas without regards to their merit or validity

A

Brainstorming

52
Q

Is a small group that focuses on a particular problem and then hopefully derives
a solution

A

Focus Groups

53
Q

Is a group of individual who implement the solutions that were derived by focus
group

A

Quality Improvement Team

54
Q

type of group dynamic tool is normally composed of supervisors and workers who are from the same department or who may have the same function in a similar department

A

Quality Circles

55
Q

Another method that can follow a successful brainstorming.
After the initial ideas are formulated during the brainstorming session, the
group members, through discussion and teamworks, come to an agreement on
the most important idea to be addressed.

A

Consensus/Concensus

56
Q

This method is normally used after a brainstorming session to dismiss
nonessential or nonrealistic ideas and the concentrate on those that can
realistically solve the problem

A

Multivoting

57
Q

Works on specific tasks and mmet to solve particular problems, as well as
RCA, which tries to identify the root causes of faults or problems within the process
Problem is defined as a gap between the current condition and get condition

A

Work Teams

58
Q

3 COMMON RCA TOOLS

A
  • 5 Whys
  • Thought Process Map
  • Analysis Questions Matrix
59
Q

Five Basic Steps to Create a Thought Process Map

A

● Define the projects goals
● List the known and unknowns
● Ask grouped questions that define, measure, analyze, improved and control (DMAIC)
● Sequence and link the questions
● Identify possible tools to be used

60
Q

lists a series of analysis questions that seek to find the root cause of a particular issue and to uncover why parts of the process occurred or did not occur when
they should have.

A

Analysis Questions Matrix