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Quality Journey
(Part 3/4)
Training Session by
OR Centre for Quality Sciences
Obaid Ali & Roohi B. Obaid
Good Manufacturing Practices (GMP) of the 21st Century
04 April 2021, Hotel Marriott Karachi
Thanks to
Dr. Ajaz S. Hussain
Whose notes are always worthy and our
source of thinking & knowledge but expression is our
own independent understanding
Disclaimer
System is not Suitable
and/or Capable to cater the
emerging challenges
Transformation is the
ultimate choice
Complexity is increasing
and/or Uncertainty is
increasing
Reliable
Validity
&
Predictability
are critical
• Availability
• Affordability
• Assurance
GMP
21st Century Mandate
Pharmaceutical Drugs
Continuous Manufacturing, Data Sciences, Machine Learning,
Real time Release
OR Centre for Quality Sciences towards Knowledge Economy for Tomorrow
Material Attributes & Drugs
Higher variability gives higher opportunity to gain knowledge
and real time experience expands wisdom
Alignment and clarity in communication is critical
Wrong Perception
There is no problem
We don’t have any
complain
Our drug is passed upon
testing
Poor Consciousness
We use our medicine
ourselves
Our drug never failed by
Government
Smell threat
This is nothing but
immaturity & approach may
put patient lives at risk
Quality System Maturity
Analytical method and the
state of control is key to
determine process control
Traditional practices are no
longer science based & to
convert to science based is
Maturity
of product
From
Uni-variate thinking to
Multivariate
Quality Risk Management
Simply compendial tests
does not
tell that batch is ok
Chaos is a system that is
unpredictable beyond
average …. inability to
understand extreme
sensitivity
Uncertainty &
Expectation Management
of product
What habits and practices
need to be changed?
GMP ... Q10 … Maturity
Same Therapeutic Outcome
Assurances in Real World
depend upon
Quality of Development &
Effectiveness of QMS
Challenges .. Challenges .. Challenges
Cause & Effect relationships
are self evident
Best practices work
Cause & Effect relationships are
multifactorial,
need expertise to understand
Good practices work
Cause & Effect relationships
are not known
Research & development
are required
Cause & Effect relationships
are not known
Extreme sensitivity to
initial conditions
Cause &
Effect
Relationship
Education, Training & Experience
Practical contact with things in
the real world
How do you know
what you know
Towards Systemic Transformation
We need to free ourselves from
average thinking
CAPA are not
Continual Improvement
You can only improve a process
when you are in a state of control
You can’t improve when it is in
need of Corrective & Preventive
Actions
Time of traditional testing is over … Compliance of
specifications is not sufficient … Let’s move towards
higher level … Create space of thinking to design
quality … Increase ability to predict … Maintain
journey in upward direction … Prevent before anything
goes wrong
Is one time process validation on 3 batches
sufficient?
Does one BA/BE study gives assurance of product
quality over the lifecycle?
Is one time process validation on 3 batches
sufficient?
Does one BA/BE study gives assurance of product
quality over the lifecycle?
Is one time process validation on 3 batches
sufficient?
Does one BA/BE study gives assurance of product
quality over the lifecycle?
No
Validation
Number of Batches
3
Validation
Sound rationale is expected for process
validation
Minimum number of conformance
batches necessary to validate is no
longer specified
Validation
Successful completion of initial
conformance batches would normally
be expected before commencement of
commercial distribution with few
exceptions.
Exceptions include short supply
situations, orphan drugs
Validation
Large sample size & testing of
additional attributes are required for
exceptions
• Control variations
• Continuous monitoring
• Knowledge Management
• Professional development
Pharmaceutical manufacturing is not like simple, slow
and one way traffic ... It is a busy junction with multiple
cross-overs … rarely uni-variate and often multivariate
in the journey of manufacturing a batch
Every time you have to keep journey safe, secure, and
trustable for certainties
Thanks

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Training Session on Good Manufacturing Practices of the 21st Century

  • 1. Quality Journey (Part 3/4) Training Session by OR Centre for Quality Sciences Obaid Ali & Roohi B. Obaid Good Manufacturing Practices (GMP) of the 21st Century 04 April 2021, Hotel Marriott Karachi
  • 2. Thanks to Dr. Ajaz S. Hussain Whose notes are always worthy and our source of thinking & knowledge but expression is our own independent understanding Disclaimer
  • 3. System is not Suitable and/or Capable to cater the emerging challenges Transformation is the ultimate choice Complexity is increasing and/or Uncertainty is increasing Reliable Validity & Predictability are critical
  • 4. • Availability • Affordability • Assurance GMP 21st Century Mandate Pharmaceutical Drugs Continuous Manufacturing, Data Sciences, Machine Learning, Real time Release OR Centre for Quality Sciences towards Knowledge Economy for Tomorrow
  • 5. Material Attributes & Drugs Higher variability gives higher opportunity to gain knowledge and real time experience expands wisdom Alignment and clarity in communication is critical
  • 6. Wrong Perception There is no problem We don’t have any complain Our drug is passed upon testing Poor Consciousness We use our medicine ourselves Our drug never failed by Government Smell threat This is nothing but immaturity & approach may put patient lives at risk
  • 8. Analytical method and the state of control is key to determine process control Traditional practices are no longer science based & to convert to science based is Maturity
  • 9. of product From Uni-variate thinking to Multivariate Quality Risk Management Simply compendial tests does not tell that batch is ok
  • 10. Chaos is a system that is unpredictable beyond average …. inability to understand extreme sensitivity Uncertainty & Expectation Management
  • 11. of product What habits and practices need to be changed? GMP ... Q10 … Maturity
  • 12. Same Therapeutic Outcome Assurances in Real World depend upon Quality of Development & Effectiveness of QMS Challenges .. Challenges .. Challenges
  • 13. Cause & Effect relationships are self evident Best practices work Cause & Effect relationships are multifactorial, need expertise to understand Good practices work Cause & Effect relationships are not known Research & development are required Cause & Effect relationships are not known Extreme sensitivity to initial conditions Cause & Effect Relationship
  • 14. Education, Training & Experience Practical contact with things in the real world How do you know what you know
  • 15. Towards Systemic Transformation We need to free ourselves from average thinking
  • 16. CAPA are not Continual Improvement You can only improve a process when you are in a state of control You can’t improve when it is in need of Corrective & Preventive Actions
  • 17. Time of traditional testing is over … Compliance of specifications is not sufficient … Let’s move towards higher level … Create space of thinking to design quality … Increase ability to predict … Maintain journey in upward direction … Prevent before anything goes wrong
  • 18. Is one time process validation on 3 batches sufficient? Does one BA/BE study gives assurance of product quality over the lifecycle?
  • 19. Is one time process validation on 3 batches sufficient? Does one BA/BE study gives assurance of product quality over the lifecycle?
  • 20. Is one time process validation on 3 batches sufficient? Does one BA/BE study gives assurance of product quality over the lifecycle? No
  • 22. Validation Sound rationale is expected for process validation Minimum number of conformance batches necessary to validate is no longer specified
  • 23. Validation Successful completion of initial conformance batches would normally be expected before commencement of commercial distribution with few exceptions. Exceptions include short supply situations, orphan drugs
  • 24. Validation Large sample size & testing of additional attributes are required for exceptions
  • 25. • Control variations • Continuous monitoring • Knowledge Management • Professional development
  • 26. Pharmaceutical manufacturing is not like simple, slow and one way traffic ... It is a busy junction with multiple cross-overs … rarely uni-variate and often multivariate in the journey of manufacturing a batch Every time you have to keep journey safe, secure, and trustable for certainties