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Inter-Laboratory Comparisons & Proficiency Testing Workshop

Master external proficiency testing (PT) and inter-laboratory comparisons (ILC) : planning, execution, statistics, CAPA, and ISO-aligned reporting.

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External Proficiency Testing and Inter-Laboratory Comparisons (ILC) Workshop

Inter-Laboratory Comparisons & Proficiency Testing Workshop
Workshop IndexDuration: 3 Days
Use the index to navigate the workshop sections and open quick reference modals for scope, audience, outcomes, delivery, policies, and FAQs.
Quick Summary
Quality AssuranceHands-on WorkshopISO Aligned
At-a-glance: PT / ILC design, statistics, and CAPA workflow
  • Understand external proficiency testing (PT) , inter-laboratory comparisons (ILC) , and where EQA fits your lab program.
  • PTILCEQA
  • Build a practical plan for sample handling, chain-of-custody, timelines, and data integrity for ring trials.
  • Ring TrialChain Of CustodyData Integrity
  • Work through scoring methods used in PT/ILC: z-score, robust mean/SD, En, and performance interpretation.
  • Z-ScoreRobust StatsEn Number
  • Translate findings into corrective and preventive actions (CAPA) with root-cause analysis and evidence.
  • CAPARoot CauseEvidence
  • Align PT/ILC documentation to ISO 17043 concepts and lab accreditation expectations (where applicable) .
  • ISO 17043AccreditationTraceability
  • Produce a ready-to-use PT/ILC playbook: roles, checklists, acceptance criteria, and reporting templates.
  • PlaybookChecklistsTemplates
Overview
Lab Quality SystemsCase StudiesAudit Ready
Scope, audience fit, and measurable learning outcomes
  • Clarify when to use PT vs ILC vs internal QC, and how each supports verification, monitoring, and continuous improvement.
  • Quality ControlQuality AssuranceContinuous Improvement
  • Define performance specifications: bias, precision, allowable error, and uncertainty-based acceptance limits.
  • BiasPrecisionUncertainty
  • Map roles and responsibilities: technical lead, quality manager, analysts, data reviewer, and sign-off authority.
  • RolesGovernanceReview
  • Identify common failure modes: sample mix-ups, transcription errors, instrument drift, method changes, and contamination.
  • Pre-AnalyticalAnalyticalPost-Analytical
  • Learn how PT/ILC supports method validation, verification, and harmonization across sites or partner labs.
  • ValidationVerificationHarmonization
  • Apply outcome-driven reporting: interpret scores, document investigations, and communicate actions to stakeholders.
  • InterpretationInvestigationCommunication
Agenda
StatisticsHands-on LabsPractice First
3-day plan: design, execute, analyze, and close the loop
  • Day 1: PT/ILC fundamentals, program planning, provider selection, and building a yearly participation matrix.
  • Program PlanProvider ReviewRisk Based
  • Day 1 Hands-on: draft acceptance criteria and a PT/ILC SOP section for sample receipt, processing, and reporting.
  • SOPAcceptance CriteriaDocumentation
  • Day 2: statistical scoring and interpretation: assigned value, consensus value, robust algorithms, and uncertainty concepts.
  • Assigned ValueConsensusRobust SD
  • Day 2 Hands-on: compute z-scores and En, create trend charts, and classify performance (satisfactory, warning, action) .
  • Z-ScoreTrendingPerformance Rules
  • Day 3: investigations and CAPA: root cause methods, containment, effectiveness checks, and management review inputs.
  • RCACAPAEffectiveness
  • Day 3 Hands-on: write a complete PT/ILC closure report with evidence, deviations, actions, and audit-ready attachments.
  • Closure ReportAudit TrailAttachments
Deliverables
TemplatesOperationalReusable
What you take back: documents, checklists, and FAQ guidance
  • PT/ILC annual plan template: participation matrix, risk-based prioritization, and review cadence.
  • Annual PlanRisk MatrixCadence
  • Sample handling and reporting checklist: chain-of-custody, traceability, and data verification steps.
  • TraceabilityVerificationRecord Control
  • Scoring worksheet examples: z-score, robust mean/SD, En, and performance classification rules.
  • Z-ScoreRobust MeanEn
  • Investigation and CAPA pack: RCA prompts, action tracking log, and effectiveness verification checklist.
  • CAPAAction LogEffectiveness Check
  • Audit-ready closure report template: deviations, evidence, impact assessment, and management review inputs.
  • ClosureAudit ReadyManagement Review
  • FAQ guidance: participation frequency, method changes, result disputes, confidentiality, and multi-site harmonization.
  • FrequencyMethod ChangeConfidentiality

Overview

  • PT, ILC, and EQA concepts, use-cases, and how they support lab quality systems.
  • Program planning, provider selection, and setting performance specifications and acceptance criteria.

Who should attend

  • Quality managers, technical leads, analysts, and lab supervisors running or supporting PT/ILC participation.
  • Teams preparing for audits or strengthening CAPA and documentation around external quality checks.

Learning outcomes

  • Interpret PT/ILC performance using z-scores, robust statistics, En, and trending.
  • Document investigations and implement CAPA with effectiveness checks and audit-ready evidence.

Agenda

  • Day 1: Fundamentals, program design, roles, and SOP-ready workflow.
  • Day 2: Scoring methods, interpretation, and performance classification.
  • Day 3: Investigations, CAPA, closure reporting, and management review inputs.

Hands-on / Demonstrations

  • Compute scores and classifications; build a trend view across rounds and sites.
  • Draft a PT/ILC closure report with attachments, evidence, and action tracking.

Deliverables

  • Annual plan template, sample handling checklist, scoring worksheets, CAPA pack, and closure report template.

FAQ

  • Participation frequency, method changes, dispute handling, confidentiality, and harmonization across labs.