Course Overview:
Global GMP authorities continue to highlight recurring gaps in how organisations manage Out-of-Specification (OOS) results. Despite long-standing regulatory expectations, many laboratories still struggle with consistent, science-based investigation practices. Common inspection findings include:
• Poor Oversight: Inadequate or outdated SOPs, unclear instructions, or failure to follow established procedures
• Weak Investigations: Superficial or incomplete root-cause analysis, missing justifications, or inadequate documentation
• Improper Conclusions: “Testing into compliance,” inappropriate averaging, or invalidating results without scientifically defensible rationale
Regulators now place even greater scrutiny on the handling of OOS data because unreliable investigations can mask real quality issues and compromise product safety. At the same time, Data Integrity (DI) continues to be a major enforcement priority. Agencies such as the FDA, WHO, MHRA, and PIC/S have issued extensive DI guidance—yet DI has always been a foundational GMP requirement, particularly within analytical laboratories where accuracy and traceability are critical.
This two-day course provides practical, hands-on guidance to help QC laboratories maintain regulatory compliance. The program covers best practices for investigating OOS, OOT, and OOE results, key expectations for Data Integrity controls, and essential principles of analytical method validation. Participants will learn how to generate trustworthy data, respond correctly to unexpected results, and design validation approaches that meet current regulatory standards.
Course Outline:
Day 1 — Laboratory Controls & OOS/OOT Management
• Key principles for establishing strong laboratory controls (aligned with ISO 17025)
• Definitions and differences: OOS vs Out-of-Trend (OOT) vs Out-of-Expectation (OOE)
• Step-by-step workflows for conducting structured OOS investigations
• Proper use of retesting, resampling, and hypothesis testing
• Statistical tools and trending techniques for detecting shifts and anomalies
• Regulatory expectations and common inspection observations related to OOS handling
Day 2 — Analytical Method Validation
• Introduction to analytical method validation and global regulatory expectations
• Essential statistical tools that support method qualification and verification
• Understanding method performance characteristics (accuracy, precision, linearity, range, robustness, etc.)
• Establishing scientifically justified acceptance criteria
• Designing, documenting, and executing a compliant method validation protocol
Participants
This program is ideal for laboratory analysts, supervisors, managers, QA personnel, and professionals working in GxP-regulated testing laboratories. It provides practical, actionable knowledge to strengthen OOS/OOT investigations, reinforce Data Integrity controls, and ensure analytical methods are fit for purpose and compliant with regulatory standards.