LABMAN SEMIS Flashcards
doing the right things right the first time; there is a degree, of excellence and customer satisfaction
Quality
Also describes as “the tools”.
Quality control
Relies heavily on quantitative statistical methods that focus on the final product as defined by the standards set by the producer
Quality control
It is how the company ensures the product quality
Quality control
The foundation of quality control
descriptive analysis or descriptive analytics / descriptive statistics
Systematic process that determines whether the service/product meet the specified requirement
Quality assurance
Developed out of the limitations of the quality controm-approach and defined quality in health care institutions by the success of the total organization, not just individual components of the system in achieving the goals of patient care
Quality assurance
To ensure that quality laboratory services are provided, every laboratory should strive to:
- Obtain modern equipment
- Hire well-trained staff
- Ensure a well-designed and safe physical environment
- Create a good management team
ultimately dispels the concept of “good enough” and promotes one of it can always be done better.
Quality Systems Management
Systems approach that focuses on teams, processes, statistics, and deliveries of services or products that meet or exceed customer expectations.
Total quality management
Continuous process to eliminate the errors in manufacturing
Total quality management
It mainly involves the continuous improvement of the organization processes
It is a continuous, customer-centered, employee-driven improvement
TQM
An element of TQM that strives to continually improve practices and not just meet established quality standards.
Continuous quality improvement
Process of creating an environment in which the management and the workers will strive to create constantly improving quality
Continuous quality improvement
Set of methodologies to improve the management process by reducing the defects/errors
Six sigma
indicates the frequency of defects occurring in one process
Sigma value
Ultimately designed to reduce waste (non-valued activities), which means to reduce cost by identifying daily work activities that do not directly to the delivery of laboratory services in the most flow efficient or cost-effective ways.
Lean
He Originated the PDCA (Plan-do-check-act) cycle, and introduced it to W.E. Deming
Walter shewhart
Deming promoted the PDCA cycle in what year
1950s
4 stages of PDCA cycle
Plan
Do
Check
Act
- The Father of Quality
- Established, the concept that quality is a continuous improvement process that requires manager’s active pursuit in reaching and setting goals for improvement.
Joseph Juran
One of Juran’s key quality principle that follows the observation of the economist Vilfredo Pareto
The Pareto principles (80/20 rule)
Used for laboratory quality control
Westgard’s rule
- Applied Shewhart’s multirule system to the evaluation of quality control data in the medical laboratory.
- He is internationally recognized Quality Control (QC) expert because he is the originator of the multirule (Westgard’s rule)
Dr. James Westgard
nearness or closeness of a result to the actual
value of the analyte when performing a test.
Accuracy
ability of an analytical method to give repeated results/reproduces a value.
Precision
distribution of errors from the analytical method, and occurs when the data can be accurately
described by the SD and mean
Gaussian curve
it calculates the difference between QC
results and the target means
Cumulative Sum Graph (CUSUM)
used to compare results obtained on a high and low control serum from different laboratories
Youden/Twin Plot
most commonly used chart and it is also referred to as S-L/J or dot chart
Shewhart Levey-Jennings Chart
rejection or warning rule used to identify or indicate if the analytical processes are out of control
Westgard Control Rules
refers to the control rule that is commonly used with a Levey- Jennings chart when the control limits are set as the mean plus/minus 2s
12s rule
may occur by chance at any time and place within the testing or service process
Random error
Causes of random errors are:
• bubbles in reagents or reagent lines
• instrument instability
• temperature variations
• operator variability, such as variation in pipetting
Examples of random errors are:
12S, 13S, and R4S or increased in precision
error that influences observations consistently in one direction
Systematic error
Sample of systematic errors
22s & 41s
Statistical tool used to measure the systematic error or accuracy
Mean
Statistical tool used to measure precision or dispersion of values around the mean
Standard deviation
Statistical tool that allows comparison and check on precision and variability of each method
Coefficient of Variation