QUALITY

QUALITY

Example

Open QUALITY

Processes MUST be documented within a quality management system. The QMS governs the organization’s ability to consistently provide products/services that meet requirements.

Example: ISO 9001:2015 — process approach, risk-based thinking, PDCA (Plan-Do-Check-Act) cycle. Seven quality management principles: customer focus, leadership, engagement of people, process approach, improvement, evidence-based decision making, relationship management. Management review (Clause 9.3) — top management must review QMS at planned intervals. Documented information (Clause 7.5) replaces the old “documents and records” terminology. Context of the organization (Clause 4) — understanding internal/external issues and interested parties. QMS scope must be documented and available.

2. Medical Device Quality

Medical device quality systems MUST satisfy regulatory requirements specific to the device classification.

Example: ISO 13485:2016 — QMS requirements for medical devices, harmonized globally. FDA 21 CFR 820 (Quality System Regulation) — being transitioned to QMSR (Quality Management System Regulation) aligned with ISO 13485. Design controls (820.30 / ISO 13485 Clause 7.3): design input, output, review, verification, validation, transfer, changes. Design History File (DHF), Device Master Record (DMR), Device History Record (DHR) — the three critical record sets. EU MDR (2017/745) — replaced MDD, requires UDI (Unique Device Identification), clinical evaluation, post-market surveillance. Risk management: ISO 14971 — risk analysis, evaluation, control, and residual risk assessment throughout device lifecycle.

3. Pharmaceutical Quality

Pharmaceutical manufacturing MUST comply with current Good Manufacturing Practice (cGMP) and ICH guidelines.

Example: cGMP — 21 CFR 210 (general), 211 (finished pharmaceuticals), 212 (PET drugs), 600 (biologics). ICH Q10 — pharmaceutical quality system model integrating GMP with ICH Q8 (pharmaceutical development) and Q9 (quality risk management). Process validation (FDA Guidance 2011): Stage 1 (process design), Stage 2 (process qualification), Stage 3 (continued process verification). CAPA (Corrective and Preventive Action) — investigate root cause, implement corrective action, verify effectiveness, prevent recurrence. Annual Product Quality Review (APQR) — trending of quality data. Data integrity: ALCOA+ principles (Attributable, Legible, Contemporaneous, Original, Accurate + Complete, Consistent, Enduring, Available).

4. Measurement & Calibration

Measurement systems MUST be calibrated, traceable, and within acceptable uncertainty limits.

Example: ISO/IEC 17025:2017 — competence requirements for testing and calibration laboratories. Metrological traceability to SI units through unbroken chain of calibrations with stated uncertainties. Measurement uncertainty: GUM (Guide to the Expression of Uncertainty in Measurement) — Type A (statistical) and Type B (other) evaluations. Gauge R&R (Repeatability and Reproducibility) — measures variation attributable to the measurement system vs. the parts. MSA (Measurement Systems Analysis) — AIAG reference manual. Calibration intervals determined by historical performance data, not arbitrary schedules.

5. Audit & Assessment

Quality systems MUST be audited to verify conformance and identify improvement opportunities.

Example: Internal audit (ISO 19011:2018) — guidelines for auditing management systems. Audit program management, audit planning, conducting audits, competence of auditors. Third-party certification audits: Stage 1 (documentation review), Stage 2 (implementation assessment). Surveillance audits annually, recertification every 3 years. FDA inspections: 483 observations (documented deviations), Warning Letters (regulatory action), consent decrees (court-ordered compliance). Notified body audits under EU MDR — unannounced audits, technical documentation review, QMS assessment. Supplier audits: second-party assessments per ISO 9001 Clause 8.4 (control of externally provided processes).

6. Continuous Improvement

Quality systems MUST drive continuous improvement through data-driven methods.

Example: Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) — statistical methodology for process improvement. Lean manufacturing — eliminate waste (muda): overproduction, waiting, transport, overprocessing, inventory, motion, defects, unused talent. SPC (Statistical Process Control) — control charts (Xbar-R, p-chart, c-chart) distinguish special cause from common cause variation. Root cause analysis methods: 5 Why, Ishikawa/fishbone diagram, fault tree analysis (FTA), Pareto analysis. Kaizen — continuous small improvements. Cost of quality: prevention costs + appraisal costs + internal failure costs + external failure costs (Juran’s model).

Constraints

MUST:     Cite specific ISO clause or CFR section for quality claims
MUST:     Distinguish between voluntary standards and regulatory requirements
MUST NOT: Present ISO certification as regulatory approval
*QUALITY CANON VERTICALS*