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Software Training Computer Systems Validation for Automated Processes

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Title: Software Training Computer Systems Validation for Automated Processes


1
Software Training Computer Systems Validation
for Automated Processes
  • presented by
  • Norman Wong, Engineer
  • Norman.wong_at_ fda.gov
  • US Food Drug Administration
  • ORA/ORO
  • Division of Field Investigation
  • Duty Station Seattle District Office, Bothell
    Washington
  • presented at
  • FMDIC FDA Quality Systems Educational Forum
    Production and Process Controls
  • Dallas, TX- 4/23/04

2
Training Approach for Automated Processes
  • More hands-on automated process validation
    activities and less computer system software
    development activities
  • Provide training on inspectional and case
    development activities
  • Focus on validation of automated manufacturing
    processes and less on automated data management
    systems

3
Training Approach for Automated Processes
  • More risk based inspectional approaches
  • Limiting the risk evaluation to the product and
    patient (e.g., Exclude environmental harm, user
    etc.)
  • Making the linkage between the process risk and
    the product risk
  • Identifying those significant product and process
    characteristics that should be part of the
    functional requirements/specifications of a
    computer system/computerized process

4
How will we do that?
  • 1. Apply inspectional techniques to identify
    computerized systems and audit system validation
    when conducting inspections of medical device
    manufacturing processes.
  • Training provides information on identifying
    automated processes and auditing techniques with
    special emphasis on the computerized aspects of
    an automated manufacturing process.

5
How will we do that?
  • 2. Recognize the correlation between the general
    principles of process validation and validation
    of automated systems.
  • Installation Qualification (IQ)
  • Computer System Qualification (IQ, OQ, PQ),
  • Operational Qualification (OQ),
  • Performance Qualification (PQ)

6
How will we do that?
  • 3. Identify critical processes that require
    validation.
  • Utilize information available in Risk Analysis
    and Risk Management documents to focus the
    inspection on the more significant processes and
    potential process failure modes.

7
How will we do that?
  • 4. Identify the section of the QSR that applies
    specifically to automated processes.
  • 21 CFR 820.70(i) Automated processes. When
    computers or automated data processing systems
    are used as part of production or quality system,
    the manufacturer SHALL validate computer software
    for its intended use according to an established
    protocol.

8
A Systematic Approach to Process Validation
  • Hazard identification and analysis
  • Determination of critical control points
  • Establish control limits for each critical
    control point
  • Monitor the critical control points to assure
    control is maintained
  • Establish predetermined corrective actions to be
    taken if control is not maintained (including
    automated error handling)
  • Establish verification procedures (event/alarm
    logs)
  • Establish documentation procedures (maintaining
    e-records)

9
What are the phases of an automated process
validation?
  • The installation qualification (IQ) is used to
    show that the equipment (including computer
    system) and ancillary systems have been properly
    installed.
  • The operational qualification (OQ) demonstrates
    that the equipment (including computer system)
    and process (automated) will produce acceptable
    results. Process limits known as worst case
    operation parameters are determined.
  • The performance qualification (PQ) is used to
    establish confidence that the process (including
    automation) is effective and reproducible, and
    can be characterized as stable.

10
Automated Processes
  • Typical Automated Processes
  • Automated material handling
  • Automated assembly (robotic, PCB, welding, etc.)
  • Environmental controls (HVAC)
  • Automated sampling and acceptance testing (ATE,
    machine vision, etc.)
  • Process monitoring (process controlling)
  • Process monitoring and QC activities (not process
    controlling)

11
Significant Processes
  • Identifying the significant automated processes
  • Using information in risk analysis and risk
    management documentation
  • Linking potential automated process failure modes
    to product failure mode and patient harm
  • Process failure modes that could results in the
    most severe patient harm should be given elevated
    priority

12
Process
RI OCC X SEV X DET
OCC
Severity
Detection
13
Significant Processes
  • Other Considerations
  • Maturity of the automated process
  • Computer system hardware and software changes
  • Process interrupts
  • Observations noted in facility walkthrough
  • Complexity of process
  • Difficulties in controlling process
  • Manual adjustments
  • Number of process variables, I/O count

14
Understanding the Automated Process
  • For each significant process
  • Identify the significant processing variables
  • Identify the key processing variables
  • DOE - Experimental data
  • Multi variant analysis - Processing data
  • Identify inputs and outputs
  • Identify what is automated
  • Key processing variables, computer hardware,
    software, and ancillary systems will be traced
    through the IQ, OQ, and PQ validation documents
    for the automated process

15
For Automated Device Manufacturing Processes
  • Inspectional Considerations
  • GMP-related computerized systems SHALL be
    validated. The depth and scope of validation
    depends on the size, complexity, and criticality
    of the computerized application.
  • Appropriate installation and operational
    qualifications should demonstrate the suitability
    of computer hardware and software to perform
    assigned tasks.

16
For Automated Device Manufacturing Processes
  • Inspectional Considerations
  • Verification and validation activities for
    commercially available software are generally
    black box activities to ensure compliance with
    established user functional requirements and
    specifications.

17
Installation Qualification (IQ)
  • Establishing confidence that automated process
    equipment and ancillary systems are capable of
    consistently operating within established limits
    and tolerances.
  • NO PRODUCT IS PRODUCED

18
Installation Qualification (IQ)
  • Two Steps
  • Pre-installation (Step 1)
  • Validation at the equipment vendor
  • Information for installation
  • Manufacturer and supplier provided installation
    instructions, operating and maintenance manuals,
    site requirements, part list etc.
  • Computer system components are identified

19
Installation Qualification (IQ)
  • Physical installation (Step 2)
  • Serial/location tag numbers established and
    recorded, components installed, communication
    connections are made
  • Verify computer system components (hardware and
    software) are installed correctly
  • Manufacturer and suppliers recommendations are
    followed
  • Documentation on how installed, who installed,
    and other information the computerized system
    components has been installed per manufacturers
    instructions

20
Installation Qualification (IQ)
  • For each significant process
  • Begin with the IQ review
  • Verify process functional requirements and
    specifications have been established and
    incorporated into the computer system hardware
    and software functional requirements and
    specifications.
  • Verify the documentation for configuration
    setups, programmed scripts, and custom
    programming.
  • Verify the existence of programming standards or
    justification for a lack of programming
    standards.
  • Documentation of software updates, approvals,
    etc., kept current

21
Installation Qualification (IQ)
  • The IQ review contd
  • Determine the calibration status of computer
    system input devices for significant process
    equipment
  • Determine the status of computer system output
    devices for significant process equipment

22
Installation Qualification (IQ)
  • The IQ review contd
  • Physically inspect the processing facility
    equipment
  • Identify IQ activities with a focus on computer
    system and ancillary devices
  • Input sensor, PID software, Microcontroller, PLC
  • Pick one or more computer system devices and
    verify that hardware and software for the given
    I/O device is documented in the IQ documentation.

23
Installation Qualification (IQ)
  • The IQ review contd
  • Computerized systems should have sufficient
    controls to prevent unauthorized access or
    changes.
  • Program security
  • Data security

24
Typical IQ Problem Areas
  • Some or all I/O devices not identified
  • Documents are not controlled
  • Some software (program, configuration set up)
    versions not documented
  • Incomplete listing of software programs
  • Lack of system security verification
  • Physical
  • Logical

25
Typical IQ Problem Areas
  • Process specifications do not match set-up values
    in computer hardware or software specification
    limits
  • Data interface problems
  • Significant figures
  • Data transmission speed
  • Memory overload
  • Hardware/software compatibility problems
  • Operating system, multi-tasking

26
OPERATIONAL and PERFORMANCE QUALIFICATION
27
Operational Qualification (OQ)
  • Computer system is matured in IQ/OQ
  • Computer system is a component of the automated
    process and does not operate in isolation
  • Process development activities continue
  • Setting process limits OR
  • Verifying established limits
  • PRODUCT IS PRODUCED

28
Performance Qualification (PQ)
  • Establishing the process (including automation)
    is capable of consistently producing a product
    that meets predetermined specifications
  • PRODUCT CONSISTENTLY MEETS PREDETERMINED
    SPECIFICATIONS

29
Performance Qualification (PQ)
  • PQ test results
  • Review in-process and finished product test data
    and yield consistency
  • Review computerized system data
  • Alarm and/or error logs
  • Event logs

30
Typical PQ Problem Areas
  • Failure to update memory variable
  • Failure to include observed process
    specifications in software functional
    requirements and specifications
  • Product acceptance specifications dont comply
    with DMR product specifications and/or the
    software functional requirements and
    specifications

31
Typical PQ Problem Areas
  • Product acceptance issues
  • Setting limits
  • Statistical data processing
  • Averaging data
  • Removal of recurring outliers

32
Typical PQ Problem Areas
  • Test products without DHR become product for
    distribution
  • Failure to maintain electronic raw data when
    there is no hard copy of the required GMP
    document, such as device history record.

33
Review of Current Manufacturing Data
  • From Device History Records and non-conforming
    data sources
  • Review in-process and finished device acceptance
    test data
  • Review computerized process data
  • Alarm and/or Error logs
  • Event logs
  • Yield consistency
  • Does this mirror the PQ test results?

34
REALITY
  • GMP-Software used in automated computerized
    processes SHALL be validated.
  • The depth and scope of validation SHOULD depend
    on the size, complexity, and criticality of the
    computerized application.

35
PROCESS VALIDATION
  • If a computer system validation is deficient, the
    process validation will also be deficient.

36
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