Quality Risk Management in Practice

Stand up to audits and inspections with ICH Q9 and ISO 14971

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5 - 6 Apr 2027

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On location

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English

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13,000 DKK ex VAT
50% discount for public institutions i
You cannot combine different discounts and offers. See our terms and conditions for more information.

Summary

Quality Risk Management is a core discipline in regulated Life Science environments. It supports better decisions, stronger validation strategies, improved control of computerised systems, and safer implementation of new technologies, including AI.

This course gives you a practical introduction to Quality Risk Management in Life Science, with a focus on pharmaceutical, medical devices, and combination product environments.

The course is based on the principles of ICH Q9 for pharmaceutical quality risk management and ISO 14971 for medical device risk management. The course also links these principles to process validation, GAMP 5, computerised systems validation, and AI governance in regulated environments.

The course gives you a common understanding of key risk concepts, including hazard, harm, hazardous situation, severity, probability, detectability, risk control, residual risk, benefit-risk considerations, and risk acceptance.

You’ll be introduced to commonly used risk tools, including FMEA, Process FMEA, Bow Tie, risk ranking, risk registers, and simple risk-based decision models. The focus is on selecting the right tool for the right situation and avoiding risk management becoming a documentation exercise without real value.

A central theme throughout the course is how risk management can be used in practice to support validation strategy, control strategy, supplier control, deviation handling, change control, CAPA, computerised systems validation, and AI implementation.

The course is based on short presentations, practical examples, group discussions, and exercises based on realistic Life Science cases.


Keywords

  • Quality risk management
  • ICH Q9 and ISO 14971
  • Deviation handling
  • CAPA
  • Validation

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Course leader & lecturers

  • Jesper Madsen Wagner
    Course leader
    Expertise Director
    Niras

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Is this course for you?

This course suits newcomers and experienced professionals wanting a stronger cross-industry view of QRM across pharma, medical devices and AI. It suits Quality Assurance, Validation, Regulatory Affairs, Engineering, IT/CSV, Digitalisation and AI roles, plus anyone involved in risk-based decisions.

What you will learn


  1. Understand the core principles of Quality Risk Management in Life Science
  2. Navigate key frameworks (ICH Q9, ISO 14971, ISO 13485, GAMP 5)
  3. Differentiate pharma QRM from medical device safety risk management
  4. Build clear risk statements and select the right tools, from FMEA to Bow Tie and risk registers
  5. Apply risk-based thinking to validation, GAMP 5/CSV, data integrity and AI implementation

What your company will get


An employee who can:

  1. Navigate key frameworks (ICH Q9, ISO 14971, ISO 13485, GAMP 5)
  2. Select and apply the right risk tools (FMEA, Bow Tie, risk ranking, risk registers)
  3. Apply risk-based thinking to validation and control strategy, and use risk management to strengthen GAMP 5, CSV and data integrity
  4. Identify key risk considerations when implementing AI in regulated environments
  5. Document risk-based decisions in a way that is scientifically justified, practical, and inspection-ready

Course calendar

Starting 5 Apr 2027
5 Apr 2027 9:00-16:00
Day 1

Quality Risk Management Principles, Standards and Tools

  • Introduction to Quality

  • Regulatory and standards framework

  • Pharma QRM vs medical device risk management

  • Building clear risk statements

  • Practical exercise: Building a clear risk statement

  • Risk management tools and how to choose the right tool

  • Practical exercise: Selecting the right risk tool



6 Apr 2027 9:00-16:00
Day 2

Practical Application in Validation, GAMP 5, QMS and AI Topics

  • Risk management in process validation
  • Practical exercise: Process validation risk assessment
  • Risk management under GAMP 5
  • Practical exercise: Risk-based validation approach for a computerised system
  • Risk management in AI
  • Practical exercise: AI risk assessment
  • Integration into the Quality Management System
  • Practical reflection: From risk assessment to QMS action

Practical information

Registration

Registration deadline
29 Mar 2027
Atrium
Lersø Parkallé 101
2100 København Ø
Price
13,000 DKK
Register
5 - 6 Apr
Please note: The programme structure may be subject to minor adjustments

Course information

Literature

Prior to the course you get access to mandatory and/or optional readings via your personal Atrium log-in.

Course leader

Jesper Madsen Wagner
Expertise Director
Niras

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Want to know more or need help?

Contact Client Manager Louise V. Petersen at +45 40 44 99 43

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