QUALITY MANAGEMENT Flashcards
(53 cards)
refers to the overall process used to ensure that laboratory results meet the requirements for health care services to patients.
QUALITY MANAGEMENT
INTERNATIONAL STANDARDS
- International standard for clinical laboratory
- obtaining process of machines
- ISO 15189
- ISO 17025
Cycle of Six Sigma Design
- Planning (Basis: Int’l Guidelines; CLSI, ISO)
- Laboratory Processes (Inspection , Accreditation)
- Control
- Assessment (SIX SIGMA)
- Risk Management
Redesigning of Six Sigma Design
Balik umpisa
- Refers to procedures for monitoring work processes, detecting problems and making corrections prior to the delivery of products and services
- Statistical QC is a major procedure for monitoring the analytical performance of laboratory testing processes
- Focuses on the examination phase
QUALITY CONTROL
- Refers to the broader monitoring of other dimensions or other characteristics of quality such as turn around time, patient preparation, specimen acquisition and result reporting that are monitored through broad QA (Quality Assurance) activities
- Part of the pre-examination and post-examination
QUALITY ASSESSMENT
- Aimed at determining the root causes or sources of the problems being identified by QC and QA
- LEAN SIX SIGMA
QUALITY IMPROVEMENT
Represent the objectives or requirements that must be achieved to satisfy the customers
QUALITY GOAL
Concerned with establishing and validating processes that meet customer needs.
QUALITY PLANNING
Basic Concepts in Technical Evaluation and Validation of Equipment
- A confirmation that the requirements for specifically intended use or specific applications were met through OBJECTIVE EVIDENCE (see forms like rubrics for scoring).
- It confirms that the level of measurement is sufficient, the measurement procedures are correct and the calibration was done properly.
- ALL must be done
Validation
- A confirmation that the analytical characteristics data provided by the manufacturer, a laboratory or reference institution were achieved through OBJECTIVE EVIDENCE in the given laboratory with the use of a specific measuring system.
- It confirms that the measurement method/ measuring system is fully functional in a specific
- Laboratory.
- The manufacturer provides the parameters and it is your task to double-check.
- you can CHOOSE ONE criteria to perform but it must be within precise range.
Verification
ALL CC Analyzers should:
PASSLR
Precision
Accuracy
Specificity
Sensitivity
Linearity
Reference range
Types of Validation
- Ability to accurately and reliably measure the analyte of interest in the clinical laboratory and in specimens representative of the population of interest.
- Performance indicators: Specificity, Sensitivity, Linearity
Analytical validation
- Ability to diagnose or predict risk for a particular health condition, measured by clinical/ diagnostic sensitivity and clinical/diagnostic specificity and predictive values
- Positive predictive value (PPV), and
- Negative predictive value (NPV)
Clinical
Validation
In the lab, we classify the test as to whether it is waive or non-waive
1. QC and validation or proficiency testing are NOT required
- Simple; Most likely accurate
- With negligible risk of harm if not performed correctly
- CLIA recommendation: follow the manufacturer’s instructions for use
- Eg. rapid test kits (positive or negative)
2. Required QC and validation/proficiency testing
- Moderate complexity (Automated methods
All machines has moderate complexity)
- High complexity (Manual method and methods requiring more interpretation; High patient impact, More technical, Eg. RT-PCR, ELISA, Crossmatching, etc)
- Waived
- Nonwaived
Reasons for Validation:
- TOF. Results of analytical measurement will DEFINITELY influence health, quality of life and even the patient’s life (for patient safety).
- TOF. It is our NOT OUR professional duty to carry out measurement of sufficient QUALITY (comply with accrediting bodies).
- TOF. Accreditation (official confirmation of laboratory’s competence) requires the use of properly validated and verified measurements.
- TOF. In the lab, we don’t need to classify the test as to whether it is waive or non-waive.
- T
- F
- T
- F
the amount of error that can be tolerated without invalidating the medical usefulness of the result.
Allowable error
A method performed to determine is able to accurately measure an analyte.
Performance Standard
TOTAL ANALYTICAL ERROR
- Described as error that can either positive or negative
- Results from variation of technique
- The one making the mistake is the MedTech
- Maximum size of random error is commonly expressed as 2SD or 3SD estimate
- WG rules (violated): 1:2S, 1:3S, R:4S, (2 levels of control)
- Based on Statistical tests: CV and standard deviation
- High CV = presence of this error
Random Error / Imprecision / Random variation
TOTAL ANALYTICAL ERROR
- Error that is always at one direction and cause all the TST to be low or high
- Influences observations consistently in one direction (higher or lower)
- error can be estimated by: recovery, interference, and COM (Comparison of Methods)
- Represented by changes in the slope and y-intercept
- WG Rules: 2:2S, 4:1S, 10:X (2 Levels of Controls)
- Deterioration of the reagents (Note for recall)
Systematic Error / Bias / Inaccuracy
TOTAL ANALYTICAL ERROR
- Refers to the difference between target value and assay value
- Independent of sample concentration
- Test used for determination: interference experiment
Constant error
TOTAL ANALYTICAL ERROR
- Results in greater deviation from the target value due to higher sample concentration
- Magnitude of error increase with increased sample concentration
- Test used: recovery experiment
Proportional error / Slope / Percent error
TOTAL ANALYTICAL ERROR
- Net or combined effect of random and systematic error
- Test used: replication and comparison
Total analytical error (TAE)
TOTAL ANALYTICAL ERROR
Remedy
- stepwise evaluation of the procedure needs to be carried out to determine where the problem lies
- sample is re-assayed using the same reagents
- Systematic
- Random
2 Types of Ssytematic Bias/Inaccuracy
- Proportional Systematic Error
- Constant Systematic Error