Quality Management Flashcards

1
Q

Clinical Laboratory Improvement Amendments of 1988 (CLIA)

A

Regulates labs and ensures accurate and reliable test results

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2
Q

Hemolysis

A

Destruction of red blood cells

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3
Q

Proficiency Testing

A

testing unknown specimens sent to a third party for evaluation

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4
Q

Quality

A

Meeting expectations and providing accurate results

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5
Q

Quality Control

A

Identify problems and maintain performance

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6
Q

Reference Range

A

Includes upper and lower limits of a lab test

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7
Q

Standard Operating Procedure (SOP)

A

Instructions on how to perform lab processes

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8
Q

Total Quality Management

A

Approach to long term success through customer satisfaction

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9
Q

Total Testing Process

A

Includes Preanalytical, Analytical, and Postanalytical

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10
Q

What does CLIA define as a clinical lab?

A

A facility that performs tests on human specimens

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11
Q

Waived Test

A

Simple examinations

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12
Q

Non-waived Test

A

More complex, more stringent

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13
Q

Quality Management System

A

Quality Planning
Quality Processes (QLP’s)
Quality Control
Quality Assessment
Quality Improvement
Peter Parker Can Always Intervene

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14
Q

What is a QC sample?

A

Solution that mimics a patients specimen

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15
Q

How do we treat Proficiency tests?

A

Like patient samples

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16
Q

How much success does a lab need to continue operation?

A

Correct on 4/5 specimens and overall score of 80%

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17
Q

What must a SOP include?

A

Title page
Effective Date
Purpose

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18
Q

Control Chart

A

View changes over time

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19
Q

Levey-Jennings Chart

A

A graph to represent lab data
Measured in Standard Deviation

20
Q

Mean

A

Sum of a group of numbers divided by the number of numbers

21
Q

Median

A

Measurements from lowest to highes

22
Q

Mode

A

Most frequently occurring measurement

23
Q

Precision

A

Closeness of two or more measurement to each other

24
Q

Accuracy

A

How close a measurement comes to the true value

25
Standard Deviation
Measures how widely spread data points are
26
Trend
Values in one direction over six or more analytical runs
27
Westgard Procedure
Series of control rules to interpret data
28
When do we reject patient results?
When the run is out of control
29
Random Error
Statistical Fluctuation
30
Systematic Error
Always in one direction and are predictable
31
Analyte
Sample being analyzed
32
Coefficient of Variation
Dispersion of data points in a data series around the mean
33
Why are statistical descriptions useful in the lab?
Data Distribution Random Variation
34
What are the three most common descriptions of the center of a dataset?
Mean Median Mode
35
What are the three most common descriptions of Spread?
Range Standard Deviation Coefficient of Variation (CV)
36
How do we find varience?
Mean divided by number of measurements minus 1
37
How do we find Standard Deviation?
Square root varience
38
How do we find CV?
SD divided by mean x 100
39
What is the most common shape of a dataset?
Gaussian Distribution (Bell Curve)
40
68 - 95 - 99 rule
68% falls between +- 1SD 95% falls between +- 2SD 99% falls between +- 3SD
41
Sensitivity
Percentage of True positives
42
Specificity
Percentage of True negatives
43
Why do we use a new testing method?
Reduce Costs Improve Quality Client Satisfaction Improve Efficiency Close Quarters Saves Everyone
44
How many individuals does CLSI allow for a study?
20 subjects
45