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44 Cards in this Set

  • Front
  • Back

Quality Management

overall process in ensuring the reliability

Quality Assurance

Define and improve the quality related process and procedures to ensure quality

Quality Control

Evaluate the quality; estimate if it meets the customer's expectations. Known sample

Testing

Find defects in the product. This is an unknown sample.

Total Quality Management

focuses on themes ptocesses stats and delivery of services that exceeds customer expectation

CQI

elements of TQM; developed by Motorolla

Six Sigma

a structured process that is based on statistics and quantitative measurements

Lean

ultimately designed to reduce waste or non-valued activities; developed by Toyota

Quality Control

system of ensuring accuracy and precision in the laboratory by including quality control reagents in every series of measurements

Quality control

A process of ensuring analytical results are correct by testing control solutions that resemble patient samples.

Accuracy

Indication of how close the result obtained lies to the true value

Precision

refers to the reproducibility of the method. How close the values to one another



measured by SD, COE, Variance

Bias

The difference between the expectation of a test result and an accepted reference method

Reliability

accurate and precise after changes

Sensitivity

ability of method to detect the smallesr concentration of substance interest/analyte of interest

Diagnostic Sensitivity

ability of analytical method to detect the proportion of individuals with the disease

Specificity

ability to measure the substance of interest only in the sample.



e.g., drug screening test, gold standard

Reference range

also called normal range; for healthy individuals

Internal "Intralaboratory QC"

Detects both random and systematic errors; Analysis of control samples & patient specimen



Perform in a daily basis/daily monitoring

External "Interlaboratory QC"

Proficiency testing programs periodically provide samples of unknown concentration of analytes to participating laboratories

Blank

sets the spectrophotometer at zero absorbance

Reagent Blank

Eliminates absorabance imparted by the color of the reagent

Sample blank

eliiminates absorbance due to HIL

Standard

material known composition used to compute concentration of particular analyte in the patient's sample

Control material

A specimen of known concentration with physical and chemical properties closely resembling the test serum and should be treated like one; used to check accuracy and precision of an analytical method

Assayed

control value +/-2SD range and is most used for infrequently run test; expensive and for external checks for accuracy

Unassayed

target values and for frequently performed analysis

Lyophilized

type of unassayed that is powder; needs diluent to be prepared

Frozen

meet the desired temp ; evaluated for stability

Random error

Errors that occur by chance

Systematic error

errors that consustently affect results in one direction

Constant

Refers to a difference between the target value and assay value

Proportional/Slope/ Percent error

Leads to greater deviation from the target value due to the higher sampleconcentration

Clerical error

Use of handwritten labels; request forms

Gaussian distribution

Referred to normal distribution

Levey-Jennings plot

most commonly used qc chart; Graphical representation of the acceptable limits of variation in the results of analytical method

Youden/Twin plot

Used to compare results attainable on a high and low control serum by different laboratories.



Used for Interlab QC programs



Desirable for Lab to have its point fall at the center of the plot.

Cumulative Sum Graph

Calculates the difference between QC results and target means



Gives the earliest indication of systematic errors and can beused in a 13s rule



Very sensitive to small persistent error

Trend

gradual lost of reliability in the system. Detoriation of reagent

Shift

main cause is improper instrument calibration

Outliers

control values that are far from the main set of values. may be caused by random or systematic error

Range

Difference between the highest and lowest data points



Represents the extreme of data

Measures of spread

Most frequently used measure of variation

Variance

Average of the squared distance of all values from the mean