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Questions and Answers
What is the primary focus of Total Quality Management in a clinical laboratory?
What is the primary focus of Total Quality Management in a clinical laboratory?
Which method is part of the PDCA cycle in quality planning?
Which method is part of the PDCA cycle in quality planning?
What does TAT stand for in laboratory management?
What does TAT stand for in laboratory management?
Which of the following is a preanalytical variable that can affect test results?
Which of the following is a preanalytical variable that can affect test results?
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What is the requirement for patient identification to ensure accuracy in specimen analysis?
What is the requirement for patient identification to ensure accuracy in specimen analysis?
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Which of the following could lead to a transcription error in laboratory records?
Which of the following could lead to a transcription error in laboratory records?
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What is an example of an analytical variable in laboratory testing?
What is an example of an analytical variable in laboratory testing?
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Which practice is essential for quality assessment in laboratory services?
Which practice is essential for quality assessment in laboratory services?
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Study Notes
Clinical Chemistry I (0202304) - Week 08: Quality Management
- Course Instructor: Mohammad QABAJAH
- Course Email: [email protected]
- Week: 8
- Topic: Quality Management
Objectives
- Describe the quality control system and methods for validating laboratory results.
- Describe the laboratory testing processes and potential errors during each process.
- Understand pre-analytical, analytical, and post-analytical variables and their impact on lab test results.
- Identify how pre-analytical, analytical, and post-analytical variables are controlled.
Total Quality Management
- Total quality management (TQM) of the clinical laboratory involves:
- Controlling pre-analytical variables
- Controlling analytical variables
- External quality assessment and proficiency testing programs
- Early detection of problems is crucial for preventing consequences.
Implementing TQM
- Quality Planning (PDCA): Plan-Do-Check-Act cycle for quality improvement.
- Quality Laboratory Processes (QLP): Analytical processes, policies, practices, and procedures of work.
- Quality Control (QC): Statistical and non-statistical procedures like linearity checks, reagent/standard checks, and temperature monitoring.
- Quality Assessment (QA): Turnaround time (TAT), specimen and patient identification, and test utility.
Control of Pre-analytical Variables
-
Patient Identification:
- Correct identification of patients and specimens is essential.
- Using at least 2 identifiers.
-
Turnaround Time (TAT):
- Time taken for specimen analysis.
- Time taken for reporting test results.
- Define TAT for each lab test for monitoring.
- Procedures for specimen collection, receipt, and reporting.
-
Laboratory Log - Specimen + Request:
- Log format:
- Patient name
- Patient identification number
- Matching specimen
- Adequate specimen volume
- Tests requested
- Rejection reasons
- Electronic logging on lab records to avoid transcription errors, especially with manual data entry.
- Log format:
-
Patient Preparation:
- Patient factors affecting test results:
- Recent intake of food, alcohol, or drugs
- Smoking
- Exercise
- Stress
- Sleep
- Define instructions for patient preparation and specimen acquisition.
- Patient factors affecting test results:
-
Specimen Collection:
- Procedures for ensuring proper specimen collection, including preservatives, containers.
-
Specimen Separation and Distribution:
- Use of centrifuges and containers.
-
Specimen Transport:
- Cooling, freezing, and protecting from light during transport.
Non-controllable Variables
-
Biological Influences:
- Age (newborn, child, adult, elderly)
- Sex
-
Environmental Factors:
- Altitude
- Ambient temperature
- Geographic location
- Seasonal influence
-
Underlying Medical Conditions:
- Obesity
- Blindness
- Pregnancy
- Fever
- Shock and trauma
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Description
This quiz covers the essential aspects of Quality Management in Clinical Chemistry, including methods for validating laboratory results and the importance of Total Quality Management (TQM). Learn about pre-analytical, analytical, and post-analytical variables and how they can affect lab test outcomes. Test your understanding of the quality control systems and processes involved in laboratory testing.