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Validation Exceptions – Managing
life’s little (and big) unexpected events
              (      g)     p
         Brian K. Nunnally, Ph.D.
What is an exception?
                   p

An error or a failure which occurs during
Verification or Validation

William Shakespeare: "It is neither good nor
bad, but thinking makes it so."
Types of Exceptions
     yp          p

Three levels of exceptions:
  Critical
  Non-critical
  N       iti l
  Simple
Simple Exceptions
       p       p

Simple exceptions are documentation or
protocol errors
  These errors are found prior to execution or are
  Th                f    d i t         ti
  “obvious” errors or typos
These e ceptions ha e no impact on the
        exceptions have
validation (e.g. no risk)
Simple Exceptions examples
       p       p          p

Wrong test selected for product
Incorrect specification for product
Loss of power to the equipment being
tested.

Other examples from the participants?
Non-critical Exceptions
                     p

Non-critical
Non critical exceptions are errors in the
protocol or execution of the validation which
have no impact on the validation
  These errors are found during or after execution
  Assessment is needed t d t
  A          ti      d d to determine no i
                                   i      impactt
  Need to document the risk (or lack thereof)
Non-critical Exceptions
    examples
          l
Operator not trained to perform the operation
An interruption in the computer system or
the
th equipment’s performance
        i     t’     f

Other examples from the participants?
Critical Exceptions
                 p

Critical exceptions are errors which have an
impact on the validation
  These errors are found during or after execution
  Th               f     dd i       ft        ti
  Assessment is used to determine impact
  Need to document th risk
  N dt d            t the i k
Critical Exceptions examples
                 p          p

Acceptance criterion failure
An interruption in the computer system or
the
th equipment’s performance
        i     t’     f

Other examples from the participants?
Basic Exception Process Flow
          p

                SME involvement throughout is
                critical
                You cannot document enough,
                even if all of it does not make it
                into the final event write-up
                CAPA may not be needed for
                simple events, but consider if
                there are many of them or the
                same ones repeatedly
General Process Considerations

Commence exception resolution process as soon
as event is observed
Involve SMEs/QA throughout process as
appropriate
  Get agreement on next steps and/or results
        g                      p
  Prior to execution, or after the completion
  Including all elements of the process
Immediately notify the relevant SME/QA if there is
any potential Product/Material impact
Conduct a risk assessment to determine impact
and actions
What is the risk and impact of
    the exception?
Event severity x Testing Stage = Impact
Event Severity:
  What kind of event is it? How was the event
  caused?
Testing Stage:
  Where are we in the validation/verification
  process? Installation? Performance
  Qualification?
Event Types
            yp
Typographical errors
  These errors are found prior to execution or are “obvious” errors or
  typos
External Issues
  Failures caused by factors external to the process or system under
  test
Execution Errors
  Failures to follow instructions within the Test Document or
  referenced procedures.
Document Generation Errors
  Incorrect detail in procedures, acceptance criteria or referenced
  documentation
Acceptance Criteria Failures
  Pre-defined acceptance criteria have not been achieved.
Testing Stage
          g    g

New system installation and the exception
does not impact the validation intent
New system i t ll ti and th exception
N       t     installation d the      ti
does impact the validation intent
New or Existing system qualification
Process Validation
Re-qualification
Should testing stop?
                 g    p

Depends on the impact score
Depends on consultation with SMEs and QA
Are you willing to live with a failure?
Will it open more q
         p         questions than it solves?

Note: It does not depend on the timeline!
Exception example #1
         p         p

An acceptance criterion was failed
                            failed.
  However, the acceptance criterion was poorly set
  (
  (limited knowledge was available to set the acceptance
                  g                               p
  criterion).
What level of exception is this?
What do you do?
Exception example #2
         p         p

The acceptance criterion was passed but the
                               passed,
result was right at the limit.
  Assay variability is high for the test.
Is this an exception? Why or why not?
What do you do?
Exception example #3
         p         p

During validation of the cleaning process the
                                  process,
Operator executing the protocol failed to sample
the correct locations.
Is this an exception? Why or why not?
What do you do?
Preventing Exceptions
The key to preventing
    exceptions
         ti
Understanding and reducing variation
                              variation.
Systems thinking (managing the flow through the
entire process as an entity)
                     entity).
Types of Variation (Including
    Sampling,
    Sampling Analytical and Production)

Variation in Quality Characteristic (specific activity
                                              activity,
potency, pH, temperature…etc.
Process variation Variation in the way our
         variation.
processes behave and are managed or controlled.
Variation in volume flowing through a process.
Why focus on variability?
      y                    y
Reduced variation in Quality Characteristics
reduces rejects, rework and deviations. It
provides high First Pass Yields.
Reduced variation in Volume (smoother flow)
increases output capacity and reduces capital
requirements.
requirements
Reduced variation in Volume (smoother flow)
decreases cycle time and Work-In-Progress.
            y                         g
Which one will be more likely to
                                    fail an acceptance criterion?

                         Day shift                                                                        Following night shift
                  2600
                  2400
                  2200
1-Point Average




                  2000
                  1800
                  1600
                  1400
                  1200
                  1000
                    50


                          70


                               90


                                       0


                                              0


                                                     0


                                                            0


                                                                   0


                                                                          0


                                                                                 0


                                                                                        0


                                                                                               0


                                                                                                      0


                                                                                                             0


                                                                                                                    0


                                                                                                                           0


                                                                                                                                  0


                                                                                                                                         0


                                                                                                                                                0


                                                                                                                                                       0


                                                                                                                                                              0


                                                                                                                                                                     0


                                                                                                                                                                            0
                                    11


                                           13


                                                  15


                                                         17


                                                                19


                                                                       21


                                                                              23


                                                                                     25


                                                                                            27


                                                                                                   29


                                                                                                          31


                                                                                                                 33


                                                                                                                        35


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                                                                                                                                      39


                                                                                                                                             41


                                                                                                                                                    43


                                                                                                                                                           45


                                                                                                                                                                  47


                                                                                                                                                                         49
More examples…
          p
Potency
      y




pH
Correlation?

                                      2
                                                    Before Project
  27                                 R = 0.2594

  25

  23

  21

  19

  17

  15
   3000   4000   5000   6000   7000          8000




  29                             2
                                R = 0.9107
                                                    After Project
  27

  25

  23

  21

  19

  17

  15
   3000   4000   5000   6000   7000          8000
What should you do?
                       y

                   CRITICAL ERRORS PER WORKER PER WEEK

                                  WEEK
       1   2   3   4    5     6     7    8     9     10   11    12     TOTAL


Mary   0   0   0   0    0     0     0    0     0     0    0      0       0
Joe    0   0   0   0    0     0     0    0     0     0    0      0       0
Eva    1   0   0   2    0     0     3    0     0     1    0      0       7
Fred   0   0   0   1    0     0     2    0     0     0    0      0       3
Jim    0   0   0   0    0     0     0    0     0     0    0      0       0
Ed     0   0   0   0    0     2     0    0     0     0    0      0       2
Kate   0   0   0   0    0     0     0    0     0     0    0      0       0
Carl   0   0   0   1    0     0     0    0     0     0    0      0       1
                                                               TOTAL    13
The lesson from Tribus
Bring a team together to focus on ensuring the aim
is clear to all participants
Focus on systems to reduce and remove possibility
for errors
Improve systems as a way to prevent human error.
Be very careful when assigning blame to human
error or to a specific p
                p       person
Expectations on Exceptions
Three keys to exceptions
           y         p

Document
Document
Document!
Keep it simple!
       p       p

Document the standard questions:
  Who
  What
  Wh t
  When
  Why
  Where
  How
Other requirements
            q
Root Cause Determination
  If root cause is unknown, a study should be
  co duc ed
  conducted
Impact Determination
  How severe is the exception?
  What is the impact to intent?
Corrective Action Determination
  How will this be prevented in routine use?
Re Testing Re execution
Re-Testing / Re-execution
  Is it necessary? Why or why not?
More exceptions examples…
Exception example #4
         p         p

During the annual re qualification / re-verification of
                   re-qualification re verification
the performance of an autoclave which has been
used for manufacturing of p
                      g product, the
                                   ,
thermocouples did not achieve the required
temperature.
Is this an exception? Why or why not?
What do you do?
Exception example #5
         p         p

During the verification of the installation of Vessel
which has not been used to manufacture product,
p
power was lost during testing of the agitator.
                      g       g          g
Is this an exception? Why or why not?
What do you do?
Exception example #6
         p         p

During the re validation / re verification of Cleaning
            re-validation re-verification
validation of a process which has NOT been used
to manufacture product, some samples were
                  p      ,            p
accidentally not taken.
Is this an exception? Why or why not?
                p          y       y
What do you do?
Exception example #7
         p         p

During the execution of an alarm check
(operational verification) for a system not used to
manufacture product, the test document had the
              p        ,
incorrect sequence of events.
Is this an exception? Why or why not?
               p            y      y
What do you do?

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Determine Exceptions to Validation

  • 1. Validation Exceptions – Managing life’s little (and big) unexpected events ( g) p Brian K. Nunnally, Ph.D.
  • 2. What is an exception? p An error or a failure which occurs during Verification or Validation William Shakespeare: "It is neither good nor bad, but thinking makes it so."
  • 3. Types of Exceptions yp p Three levels of exceptions: Critical Non-critical N iti l Simple
  • 4. Simple Exceptions p p Simple exceptions are documentation or protocol errors These errors are found prior to execution or are Th f d i t ti “obvious” errors or typos These e ceptions ha e no impact on the exceptions have validation (e.g. no risk)
  • 5. Simple Exceptions examples p p p Wrong test selected for product Incorrect specification for product Loss of power to the equipment being tested. Other examples from the participants?
  • 6. Non-critical Exceptions p Non-critical Non critical exceptions are errors in the protocol or execution of the validation which have no impact on the validation These errors are found during or after execution Assessment is needed t d t A ti d d to determine no i i impactt Need to document the risk (or lack thereof)
  • 7. Non-critical Exceptions examples l Operator not trained to perform the operation An interruption in the computer system or the th equipment’s performance i t’ f Other examples from the participants?
  • 8. Critical Exceptions p Critical exceptions are errors which have an impact on the validation These errors are found during or after execution Th f dd i ft ti Assessment is used to determine impact Need to document th risk N dt d t the i k
  • 9. Critical Exceptions examples p p Acceptance criterion failure An interruption in the computer system or the th equipment’s performance i t’ f Other examples from the participants?
  • 10. Basic Exception Process Flow p SME involvement throughout is critical You cannot document enough, even if all of it does not make it into the final event write-up CAPA may not be needed for simple events, but consider if there are many of them or the same ones repeatedly
  • 11. General Process Considerations Commence exception resolution process as soon as event is observed Involve SMEs/QA throughout process as appropriate Get agreement on next steps and/or results g p Prior to execution, or after the completion Including all elements of the process Immediately notify the relevant SME/QA if there is any potential Product/Material impact Conduct a risk assessment to determine impact and actions
  • 12. What is the risk and impact of the exception? Event severity x Testing Stage = Impact Event Severity: What kind of event is it? How was the event caused? Testing Stage: Where are we in the validation/verification process? Installation? Performance Qualification?
  • 13. Event Types yp Typographical errors These errors are found prior to execution or are “obvious” errors or typos External Issues Failures caused by factors external to the process or system under test Execution Errors Failures to follow instructions within the Test Document or referenced procedures. Document Generation Errors Incorrect detail in procedures, acceptance criteria or referenced documentation Acceptance Criteria Failures Pre-defined acceptance criteria have not been achieved.
  • 14. Testing Stage g g New system installation and the exception does not impact the validation intent New system i t ll ti and th exception N t installation d the ti does impact the validation intent New or Existing system qualification Process Validation Re-qualification
  • 15. Should testing stop? g p Depends on the impact score Depends on consultation with SMEs and QA Are you willing to live with a failure? Will it open more q p questions than it solves? Note: It does not depend on the timeline!
  • 16. Exception example #1 p p An acceptance criterion was failed failed. However, the acceptance criterion was poorly set ( (limited knowledge was available to set the acceptance g p criterion). What level of exception is this? What do you do?
  • 17. Exception example #2 p p The acceptance criterion was passed but the passed, result was right at the limit. Assay variability is high for the test. Is this an exception? Why or why not? What do you do?
  • 18. Exception example #3 p p During validation of the cleaning process the process, Operator executing the protocol failed to sample the correct locations. Is this an exception? Why or why not? What do you do?
  • 20. The key to preventing exceptions ti Understanding and reducing variation variation. Systems thinking (managing the flow through the entire process as an entity) entity).
  • 21. Types of Variation (Including Sampling, Sampling Analytical and Production) Variation in Quality Characteristic (specific activity activity, potency, pH, temperature…etc. Process variation Variation in the way our variation. processes behave and are managed or controlled. Variation in volume flowing through a process.
  • 22. Why focus on variability? y y Reduced variation in Quality Characteristics reduces rejects, rework and deviations. It provides high First Pass Yields. Reduced variation in Volume (smoother flow) increases output capacity and reduces capital requirements. requirements Reduced variation in Volume (smoother flow) decreases cycle time and Work-In-Progress. y g
  • 23. Which one will be more likely to fail an acceptance criterion? Day shift Following night shift 2600 2400 2200 1-Point Average 2000 1800 1600 1400 1200 1000 50 70 90 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49
  • 24. More examples… p Potency y pH
  • 25. Correlation? 2 Before Project 27 R = 0.2594 25 23 21 19 17 15 3000 4000 5000 6000 7000 8000 29 2 R = 0.9107 After Project 27 25 23 21 19 17 15 3000 4000 5000 6000 7000 8000
  • 26. What should you do? y CRITICAL ERRORS PER WORKER PER WEEK WEEK 1 2 3 4 5 6 7 8 9 10 11 12 TOTAL Mary 0 0 0 0 0 0 0 0 0 0 0 0 0 Joe 0 0 0 0 0 0 0 0 0 0 0 0 0 Eva 1 0 0 2 0 0 3 0 0 1 0 0 7 Fred 0 0 0 1 0 0 2 0 0 0 0 0 3 Jim 0 0 0 0 0 0 0 0 0 0 0 0 0 Ed 0 0 0 0 0 2 0 0 0 0 0 0 2 Kate 0 0 0 0 0 0 0 0 0 0 0 0 0 Carl 0 0 0 1 0 0 0 0 0 0 0 0 1 TOTAL 13
  • 27. The lesson from Tribus Bring a team together to focus on ensuring the aim is clear to all participants Focus on systems to reduce and remove possibility for errors Improve systems as a way to prevent human error. Be very careful when assigning blame to human error or to a specific p p person
  • 29. Three keys to exceptions y p Document Document Document!
  • 30. Keep it simple! p p Document the standard questions: Who What Wh t When Why Where How
  • 31. Other requirements q Root Cause Determination If root cause is unknown, a study should be co duc ed conducted Impact Determination How severe is the exception? What is the impact to intent? Corrective Action Determination How will this be prevented in routine use? Re Testing Re execution Re-Testing / Re-execution Is it necessary? Why or why not?
  • 33. Exception example #4 p p During the annual re qualification / re-verification of re-qualification re verification the performance of an autoclave which has been used for manufacturing of p g product, the , thermocouples did not achieve the required temperature. Is this an exception? Why or why not? What do you do?
  • 34. Exception example #5 p p During the verification of the installation of Vessel which has not been used to manufacture product, p power was lost during testing of the agitator. g g g Is this an exception? Why or why not? What do you do?
  • 35. Exception example #6 p p During the re validation / re verification of Cleaning re-validation re-verification validation of a process which has NOT been used to manufacture product, some samples were p , p accidentally not taken. Is this an exception? Why or why not? p y y What do you do?
  • 36. Exception example #7 p p During the execution of an alarm check (operational verification) for a system not used to manufacture product, the test document had the p , incorrect sequence of events. Is this an exception? Why or why not? p y y What do you do?