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Laboratory Operations and Quality Management

Sep 21, 2025

Overview

This lecture covers high-yield concepts in laboratory operations, focusing on quality management, diagnostic efficacy, key instrumentation techniques, and essential laboratory mathematics relevant for the ASCP exam.

Quality Management Systems (QMS)

  • QMS is an organized, process-oriented system aiming for consistent quality and customer satisfaction in the lab.
  • QMS covers pre-examination, examination, and post-examination phases.
  • The 12 essential QMS elements are: organization, personnel, equipment/instrument management, process control, information management, documents/records, occurrence management, assessment, process improvement, customer service, facilities, and safety.
  • Quality improvement is a continuous, cyclical process to enhance lab services.
  • Quality assurance (QA) is proactive and systematic to ensure standards are met and defects are prevented.
  • Quality control (QC) detects analytical errors before releasing test results, maintaining accuracy and precision.

Quality Control & Proficiency Testing

  • Internal QC (intra-lab) is daily, detects short-term errors.
  • External QC (inter-lab) uses proficiency testing (PT) to compare results across labs and assure long-term accuracy.
  • PT by CLIA: 3 surveys/year, 5 samples/survey; 80% of results (4/5) must be acceptable.
  • Commutable samples reference true values; non-commutable use peer group means.
  • Acceptable: within 2 SD; needs improvement: 2–3 SD; unacceptable: outside 3 SD.

Statistical Quality Control

  • Mean: average; Median: middle value; Mode: most frequent value; Mid-range: (highest+lowest)/2.
  • Range: highest minus lowest.
  • Standard deviation (SD): √[Σ(x-mean)²/(n-1)].
  • Coefficient of variation (CV): (SD/mean) × 100; measures precision.
  • Variance: SD².
  • Descriptive statistics: describe one data set; Comparative/inferential statistics: compare two sets (T-test for means, F-test for SDs).
  • Gaussian curve (normal distribution): 68.2% within 1SD, 95% within 2SD (confidence range), 99% within 3SD.
  • Schuhart-Levy-Jennings chart & Westgard rules help interpret QC data (1-2S, 1-3S, R4S: random error; 2-2S, 4-1S, 10x: systematic error).
  • Steps when control is out of range: hold results, rerun control, change control/sample/reagents, recalibrate, seek assistance, document actions, repeat patient tests if needed.

Diagnostic Efficacy/Efficiency

  • Sensitivity: true positive/(true positive + false negative) × 100.
  • Specificity: true negative/(true negative + false positive) × 100.
  • Positive predictive value (PPV): true positive/(true positive + false positive) × 100.
  • Negative predictive value (NPV): true negative/(true negative + false negative) × 100.
  • Sensitive tests: for screening (minimize false negatives).
  • Specific tests: for confirmation (minimize false positives).

Laboratory Mathematics

  • Proportional equation (no change in concentration): w1/v1 = w2/v2.
  • Dilution equation (change in concentration): C1V1 = C2V2.
  • Ratio: part:whole (e.g. serum:total = 1:5).
  • Dilution: solute/total volume (e.g. 1/5).
  • Dilution factor is the reciprocal of dilution.
  • Compound dilution: multiply sequential dilutions for final dilution.
  • Actual (reported) value = diluted value × dilution factor.

Instrumentation & Analytical Techniques

  • Spectrophotometer configuration: light source, entrance slit, monochromator (wavelength selector), exit slit, cuvette, photodetector, read-out device.
  • Wavelength accuracy (uses didymium or holmium oxide filters) and wavelength linearity are key QC parameters.
  • Analytical techniques:
    • Flame emission photometry: measures light from excited atoms (now obsolete).
    • Atomic absorption spectrophotometry: measures light absorbed by unexcited atoms (uses hollow cathode lamp).
    • Fluorometry: sensitive/specific; absorbs at one wavelength, emits at longer.
    • Turbidimetry: measures reduction of transmitted light.
    • Nephelometry: measures scattered light at an angle.
    • Potentiometry: measures pH and PCO₂ (pH electrode, Severinghaus electrode).
    • Amperometry: measures PO₂ (Clark electrode), via current from oxidation.
    • Coulometry: quantifies electricity for analyte oxidation (e.g. chloride ions).
    • Voltammetry: measures current from potential changes (e.g. heavy metals like lead).

Key Terms & Definitions

  • QMS (Quality Management System) — Coordinated activities ensuring laboratory quality and customer satisfaction.
  • Quality Assurance (QA) — Systematic activities to assure quality requirements are met.
  • Quality Control (QC) — Procedures to detect analytical errors before releasing results.
  • Sensitivity — Ability of a test to correctly identify true positives.
  • Specificity — Ability of a test to correctly identify true negatives.
  • PPV/NPV — Likelihood that positive/negative results are true, respectively.
  • Coefficient of Variation (CV) — Index measuring precision (=%RSD).
  • Proficiency Testing (PT) — External QC using standardized samples to assess lab accuracy.

Action Items / Next Steps

  • Review key formulas for mean, SD, variance, CV, diagnostic statistics, and dilution calculations.
  • Memorize the 12 QMS elements and Westgard rules.
  • Practice solving proportion, dilution, and compound dilution problems.
  • Study the principles and QC of analytical techniques (especially spectrophotometry, potentiometry, fluorometry).
  • Prepare for recall and application-type questions on these topics for the ASCP exam.