Understanding GAMP 5 Guidelines for System Validation (original) (raw)

[Revised February 18, 2026]

GAMP 5 Guidelines: Updates and Best Practices for 2026

Good Automated Manufacturing Practice (GAMP) is a widely recognized framework for validating computerized systems in the pharmaceutical industry. Its central goal is to ensure systems are fit for their intended use, reliable, and compliant with regulations. As one ISPE guidance document notes, GAMP “aims to deliver a cost-effective framework of good practice to ensure that computerized systems are effective and of high quality, fit for intended use, and compliant with applicable regulations” ([1]). The current standard, GAMP 5 (Second Edition, 2022), emphasizes a risk-based approach to computerized system validation across the entire system lifecycle ([2]) ([1]). In practice, this means tailoring validation effort and controls to the system’s complexity and the potential impact on product quality or patient safety.

In 2025–2026, manufacturers must adapt GAMP practices to rapidly evolving technologies and regulations. The latest GAMP guidance incorporates technological advances — including cloud computing, open-source software, and artificial intelligence (AI) — as well as updated regulatory expectations. ISPE explicitly updated GAMP 5 to keep pace with "technological progress and regulatory advances," while preserving its core principles ([2]). In the Jan/Feb 2025 ISPE journal, authors highlight that new guidance now reflects recent innovations: "significant advancements in artificial intelligence (AI) and machine learning (ML) have enabled new approaches… This updated guide reflects the content and concepts published in the ISPE GAMP® 5 (Second Edition)" ([3]). In July 2025, ISPE published the landmark ISPE GAMP Guide: Artificial Intelligence — a comprehensive 290-page guide providing a holistic framework for developing and using AI-enabled computerized systems in GxP environments. Likewise, ISPE notes that open-source software and data science methods have been formally incorporated into GAMP practice guides ([4]). These changes ensure that GAMP remains aligned with Industry 4.0 trends and regulatory emphasis on data integrity.

On the regulatory front, two major developments in 2025 reinforce the importance of GAMP principles: the FDA finalized its Computer Software Assurance (CSA) guidance in September 2025 ([5]), endorsing a risk-based approach to software validation that closely mirrors GAMP philosophy; and the European Commission published draft revisions to EU GMP Annex 11 alongside a new Annex 22 on Artificial Intelligence in July 2025 ([6]), with final versions expected in 2026.

This guide provides a comprehensive overview of GAMP 5 and its updates through 2026, with actionable best practices for implementation. It explains the risk-based framework of GAMP 5, how it ties into FDA/EU regulations (such as 21 CFR Part 11 and EU GMP Annex 11), and highlights new content from the Second Edition and related guidance. By following GAMP 5's lifecycle model and quality-risk approach, pharma companies can maintain compliance while embracing modern computerized systems.

The Role of GAMP 5 in Pharma Compliance

GAMP 5 is not a regulation, but a consensus standard and best-practice framework developed by the International Society for Pharmaceutical Engineering (ISPE). It complements regulatory requirements for computerized systems. For example, the FDA’s 21 CFR Part 11 (Electronic Records and Signatures) and Part 210/211 (CDS – Current Good Manufacturing Practice) mandate that electronic systems be validated and secure. Similarly, EU GMP Annex 11 sets rules for computerised systems in pharmaceutical manufacturing. GAMP 5 provides practical guidance on how to meet these regulations through a structured, risk-based process.

The key concept of GAMP 5 is “fit for intended use”. This means a system should perform its required functions reliably without causing quality or safety risks. Rather than requiring identical validation for every system, GAMP 5 encourages tailoring the validation scope to the system’s complexity and risk. Systems are assigned categories (infrastructure software, non-configured products, configurable products, custom code, etc.), and validation effort is scaled accordingly. This risk-based view is explicit in the GAMP 5 motto: it is formally titled “GAMP® 5: A Risk-Based Approach to Compliant GxP Computerized Systems” ([2]). In other words, higher-risk systems (e.g. custom code controlling product quality) warrant more rigorous testing and documentation, whereas low-risk infrastructure software may need only basic verification.

Importantly, GAMP 5 emphasizes patient safety and data integrity as ultimate goals. As ISPE notes in its latest guidance, the updated processes are intended “to continue promotion of patient safety and data integrity” through effective and reliable computerized systems ([7]). This aligns with industry initiatives like ALCOA+ (Attributable, Legible, Contemporaneous, Original, Accurate, plus Complete, Consistent, Enduring, Available) for data integrity. In practice, implementing GAMP 5 helps ensure that electronic records are trustworthy and that manufacturing processes meet GxP quality norms.

Core Principles of GAMP 5

GAMP 5 establishes several core principles and a lifecycle framework that guide the validation of computerized systems. These principles should be understood as the foundation for a robust quality system:

Risk-based approach: Focus on high-risk aspects of systems. Early risk assessment identifies potential quality or safety hazards and guides resource allocation. GAMP 5 explicitly leverages ICH Q9 Quality Risk Management principles, integrating them into system validation.
Lifecycle model (V-model): GAMP 5 follows a structured development and validation lifecycle, often depicted as a “V-model”. This covers stages from concept and requirements definition through design, testing, operation, and retirement. Each stage has associated deliverables and reviews. ([2])
Functional requirements: Systems must have clear User Requirements Specifications (URS). Testing verifies that the system meets these user and functional requirements (URS and FDS – Functional Design Spec) before moving to production.
Category-based effort: Systems are classified into software/hardware categories (for example: Category 1 – infrastructure, Category 3 – non-configurable, Category 4 – configurable, Category 5 – custom). Higher categories (more customization) require more validation.
Leverage supplier documentation: For off-the-shelf systems, use supplier validation materials (e.g. vendor test reports, compliance certificates) to reduce duplication of testing. This is a key cost-saving element of GAMP 5.
Change management: GAMP encourages strict change control. Any changes to a computerized system (software updates, configuration changes, patches) trigger a risk re-assessment and possibly additional testing before implementation.
Continuous monitoring: Quality systems should be maintained through periodic reviews (e.g. Technology Refresh Plans, performance monitoring) and audits. Documentation such as logs, audit trails, and maintenance records are part of the system’s lifecycle.

These principles aim to ensure efficiency “right-first-time” tooling of systems. Following GAMP 5 helps ensure that new systems (and changes to existing systems) are introduced smoothly, with minimal rework and downtime, while still complying with regulatory expectations.

The GAMP 5 Lifecycle Explained

At its heart, GAMP 5 prescribes a lifecycle approach to computerized systems. This can be thought of as phases or gates, each with deliverables and exit criteria:

Concept and Project Initiation: Define the need for a system, perform high-level risk and scope assessment. Establish the project plan and team roles (quality, IT, users, suppliers).
Requirements Phase: Develop User Requirements Specifications (URS) and preliminary risk assessment. Determine system category and overall control strategy. Establish acceptance criteria.
Design and Build Phase: Depending on the system type:

For custom systems, produce System/Functional Requirements Spec, Architecture diagrams, etc.
For configurable/COTS systems, document how the system is configured to meet requirements. Perform supplier audits/reviews if needed.

Testing and Verification Phase: Conduct Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ) as appropriate. Each test checks that the system is built correctly (IQ), operates correctly (OQ), and performs in the production environment (PQ). Test cases should trace back to URS.
Release & Operation: Upon successful testing, the system is released into production. This includes generating a final validation report and change control documentation. The system enters routine use with standard operating procedures (SOPs) and user training in place.
Maintenance & Monitoring: In production, maintain the validated state. This includes controlling changes (via change control board), periodic reviews, backup/restoration tests, and ensuring ongoing compliance (e.g. security patches).
Retirement/Decommissioning: Eventually, plan for system retirement. Ensure data migration or archival as per regulatory requirements. Decommissioning should follow controlled procedures to avoid data loss.

Throughout all phases, good documentation and cross-functional review are emphasized. The GAMP 5 model is iterative: for example, if during PQ a requirement is found unmet, the system is asked to re-enter a previous phase for fixes.

GAMP 5 and Regulatory Expectations

GAMP 5 is aligned with regulations and guidance on computerized systems. Regulators expect validated systems and data integrity controls, though they do not prescribe specific methods. GAMP provides a recognized approach that satisfies these requirements. Key regulatory documents include:

FDA 21 CFR Part 11: Governs electronic records and signatures. GAMP implementation supports Part 11 by ensuring proper audit trails, system access controls, and validated electronic processes.
FDA 21 CFR Parts 210/211: Current Good Manufacturing Practice (cGMP) for finished pharmaceuticals. These regulations require process controls and adequate documentation of manufacturing, which include reliable computerized control systems.
EU GMP Annex 11 (and new Annex 22): Annex 11 outlines requirements for computerized systems in EU-regulated manufacturing. In July 2025, the European Commission published draft revisions to Annex 11 — expanding it from 5 to 19 pages — alongside a brand-new Annex 22 on Artificial Intelligence that sets requirements for AI model selection, training, validation, and continuous monitoring in GMP environments ([6]). Final versions are expected in 2026, and they mandate a risk-based approach and system life-cycle management that closely mirrors the GAMP framework.
ICH Guidelines Q8/Q9/Q10: Pharmaceutical development (Q8), quality risk management (Q9), and pharmaceutical quality system (Q10) encourage science- and risk-based standards. GAMP 5 explicitly applies Q9 risk concepts to system validation. Notably, ICH Q9(R1) — the revised quality risk management guideline finalized in 2023 — adds clarification on risk-based decision-making, addresses subjectivity in risk assessments, and explicitly covers the application of risk management to digitalization and emerging technologies ([8]).

In practice, an auditor will look for evidence that a computerized system was properly validated and is in a state of control. GAMP 5 provides the documentation structure (requirements, design, test plans, traceability matrix, etc.) to demonstrate compliance. By following GAMP 5, companies can show that they have applied industry-accepted best practices in meeting regulatory expectations.

For example, a validated MES (Manufacturing Execution System) under GAMP would come with a matrix showing every high-risk function was tested, signed off by Quality, and has an associated Standard Operating Procedure (SOP). The system’s configuration and software changes would be traceable. These all help satisfy Annex 11 “audit trail” and 21 CFR Part 11 criteria.

Major Updates in GAMP 5 (Second Edition, 2022)

The Second Edition of GAMP 5 was published in July 2022, incorporating new content to address recent industry trends. Importantly, the update maintains the original GAMP framework and principles ([2]), but adds guidance on emerging concerns. Key enhancements include:

Computer Software Assurance (CSA): GAMP 5 2nd Ed acknowledges the FDA's evolving CSA approach, which focuses on software quality through tools and processes rather than exhaustive retesting. This alignment became even stronger in September 2025, when the FDA finalized its CSA guidance for production and quality system software, formally endorsing risk-based validation effort proportional to the impact on product quality and patient safety — a philosophy fully consistent with GAMP 5.
Modern Development Methods: The update addresses contemporary software development (e.g. agile, DevOps) within the regulated context. It encourages streamlined documentation and automation of testing where possible.
IT Processes and Governance: There is expanded discussion on IT service and change management processes that support validation. This includes integrating with broader ITIL or quality management systems.
Cloud and SaaS: Guidance on using cloud-based and Software-as-a-Service platforms for GxP systems has been strengthened. This covers cloud-specific risks (multi-tenancy, data residency) and controls.
Supplier/Third-Party Oversight: Enhanced content on qualifying IT vendors and third-party providers in the life cycle, reflecting global supply chain practices.
Cybersecurity awareness: While not a full cybersecurity guide, GAMP 5 2nd Ed underscores the importance of secure system design (e.g. network controls, encryption) as part of validation strategy.

According to ISPE, these updates were driven by "technological progress and regulatory advances" ([2]). Yet the core GAMP approach remains intact: risk-based planning, user requirement focus, and lifecycle validation. Building on the Second Edition, ISPE published the ISPE GAMP Guide: Artificial Intelligence in July 2025 — a dedicated companion guide designed to be used alongside GAMP 5. This 290-page guide provides the pharmaceutical industry's first comprehensive framework for AI-enabled computerized systems in GxP areas, covering the full AI lifecycle from concept through retirement ([9]). Together, these publications ensure GAMP stays relevant for 2026 and beyond by explicitly integrating issues like AI validation, cloud hosting, digital data analytics, and tight supplier ecosystems.

Incorporating Emerging Technologies

Several emerging technologies and trends are transforming pharmaceutical manufacturing. GAMP 5 and related guides now explicitly address these areas:

Artificial Intelligence and Machine Learning (AI/ML): AI/ML are increasingly used in process optimization, predictive maintenance, and data analysis. In July 2025, ISPE published the dedicated ISPE GAMP Guide: Artificial Intelligence — a 290-page comprehensive guide that provides a holistic framework for developing and using AI-enabled computerized systems in GxP environments ([9]). This standalone guide covers the full AI system lifecycle from concept through retirement, including best practices for training data quality, performance metrics, knowledge management, and inspection readiness. The eClinical GAMP Guide also notes that "the use of data science and AI-enabled systems is covered in some depth, building on the ISPE GAMP 5: A Risk-Based Approach" ([4]). Meanwhile, the EU's draft Annex 22 specifically addresses AI model selection, training, validation, and continuous monitoring in GMP settings ([10]). Together, these developments mean that companies now have dedicated regulatory and industry guidance for validating AI systems — including documenting training data quality, establishing performance metrics, and ensuring human oversight.
Open-Source Software: The use of open-source libraries and platforms (e.g. R, Python tools, open-source LIMS) is on the rise. Recognizing this, GAMP guidance explicitly includes “the benefits and challenges of using open-source software” ([4]). Best practices include verifying the provenance of code, managing version control, and including open-source components in risk assessments. Companies should ensure that critical open-source elements meet the same validation standards as proprietary code.
Cloud Computing and SaaS: Many companies are migrating quality systems (LIMS, MES, ERP) to the cloud. GAMP 5 advises considering cloud-specific controls: data encryption, vendor qualification, backup/restore in the cloud, and compliance with data residency requirements. Even in cloud deployments, the user company remains responsible for validation and maintaining equivalence of the cloud service to documented specifications.
Mobile and IoT Devices: Smart sensors, tablets, and mobile devices are increasingly part of manufacturing controls. These devices collect real-time data on equipment or environment. GAMP best practice is to include any mobile/IoT component in the validation plan, ensuring data collected is secure (encrypted) and traceable. For example, a temperature sensor network interfacing with a refrigeration unit would be validated as part of the system controlling product quality.
Blockchain: Though early in adoption, blockchain is even being explored for supply chain integrity. If used in a GxP context, the immutable ledgers add traceability. Validating blockchain applications may require ensuring end-to-end data validity and that the chain cannot be “hacked” to alter timestamps.
Digital Bioprocessing: Advanced manufacturing platforms (continuous bioreactors, connected chromatography systems) rely on integrated software controls. GAMP 5 supports end-to-end electronic batch records and automated quality checks. Automated in-line analytics (PAT – Process Analytical Technology) can reduce manual sampling but require validated algorithms (often AI-driven) to interpret data.

In short, GAMP 5 has evolved to accommodate the "smart factory" elements of Industry 4.0 in pharma. With the dedicated GAMP AI Guide (2025), the EU's draft Annex 22 on AI, and FDA's finalized CSA guidance, the regulatory and industry landscape now provides comprehensive direction for these emerging technologies. Companies should stay aware of these topics and apply GAMP's risk-based lens. For example, assigning higher scrutiny to AI-driven analysis or multi-vendor cloud architectures is prudent.

Data Integrity and Compliance Controls

A cornerstone of GAMP and regulatory compliance is data integrity. Ensuring that electronic records are accurate and reliable (“ALCOA+ principles”) is non-negotiable. Best practices include:

Audit Trails: Validate that all database or system changes are tracked with user ID and timestamp. Regularly review audit trails to detect unauthorized changes. 21 CFR 11 and Annex 11 require secure, computer-generated audit logs.
Access Controls: Implement role-based access so that users can only perform appropriate actions. Enforce robust password policies (or use single sign-on tokens) and automatically lock accounts after failed attempts.
Backup and Recovery: Demonstrate daily (or user-defined) backups of critical data, and test restore procedures. Keep backups off-site or in a secure cloud location to prevent data loss.
Time Synchronization: Ensure all system clocks are synchronized (e.g. via NTP) so that timestamps are trustworthy across systems. This matters for event logging.
Validation Documentation: Maintain comprehensive validation records (test plans, results, deviations) in an organized manner. Keep these records in secure, backed-up repositories (not on end-user desktops).
Standard Operating Procedures (SOPs): Write SOPs for computerized processes, including system use, change control, periodic review, and incident management. GAMP encourages mapping processes end-to-end.
Continuous Monitoring: Regularly review system performance and data. For example, set up alerts if equipment measurements drift out of specification, or run periodic data integrity audits as part of QA oversight.
Compliance with e-Signatures: If electronic signatures are used, ensure they meet Part 11 criteria (uniqueness, non-repudiation). Associate signatures with printed outputs when needed (printers should also stamp “signed electronically”).
Tablet and Handheld Controls: If workers use tablets or phones for data entry, validate those apps and secure the devices (e.g. device encryption, remote wipe capability).

By following these controls, companies meet not only GAMP recommendations but also the explicit requirements of regulators. For example, a recent ISPE guidance points out that GAMP updates aim to “promote… data integrity” of computerized systems ([7]). Adhering to ALCOA+ goes hand in hand with GAMP’s quality objectives. Remember: documentation and traceability are key – whether it’s an audit trail entry or a wet signature on archived paper – nothing is truly validated unless there is proof in the records.

Best Practices for GAMP 5 Implementation

Successfully using GAMP 5 involves more than just reading the guidelines; it requires integrating its recommendations into daily practice. Here are several actionable best practices and insights:

Start Early with Risk Assessment: At project kickoff, identify critical system functions and GxP impacts. Use a cross-functional team (quality, manufacturing, IT, validation) to perform the risk assessment. Focus on patient/product safety risk first, then operational risk.
Define Clear User Requirements (URS): Write concise, testable requirements. WHO/HDA guidelines emphasize that each URS item should be verifiable. Fuzzy or generic requirements make testing and compliance hard.
Leverage Supplier Documentation: For commercial off-the-shelf (COTS) systems, utilize vendor documentation. Many vendors (especially in instrument software or standard LIMS) provide software requirement specs or validation packages. Use these to reduce your testing effort; verify only any custom configurations or unique uses.
Tiered Testing Strategy: Apply GAMP’s concept of “challenge-based testing.” For example, if implementing a new version of an already-validated MES, you might skip full re-testing of unchanged modules and instead perform a risk-based impact assessment to target tests where needed.
Automate Where Possible: Modern test tools (e.g. automated test scripts, continuous integration) can speed up regression testing, especially for frequently changing systems. Automated test runners can log results directly, improving data integrity of testing.
Document Changes Rigorously: Any change request should be evaluated for impact on validated state. Use a formal change control process and ensure re-qualification of affected functions. Link each test case to requirements to demonstrate coverage.
Cross-Functional Reviews: Have representatives from manufacturing, QA, and IT review validation plans and reports. Diverse perspectives catch issues early (e.g. IT may spot a network constraint, QA may catch a traceability gap).
Regular Maintenance Plan: After go-live, schedule periodic validation reviews. For example, every 2–3 years or at major releases, re-assess risk and performance. Maintain a system owner team responsible for security patches and service packs under controlled change.
Train End Users: Validation is not just technical – ensure operators are trained on the new system and that training records are documented. GAMP 5 encourages involving end users in requirements gathering, which also eases acceptance and reduces training issues.
Prepare for Inspections: Maintain a “validation master plan” that outlines your approach, policies, and system inventory. If inspectors ask, you should quickly show them how a given system’s validation documents (URS, protocols, reports) trace from requirements to sign-offs.
Stay Alert for New Guidance: As technology evolves, stay current on related guidelines. In 2025 alone, the FDA finalized its CSA guidance, the EU published draft Annex 11 revisions and Annex 22 on AI, and ISPE released its dedicated GAMP AI Guide. ICH Q9(R1) (2023) also updated quality risk management for digitalization. ISPE regularly publishes GAMP Good Practice Guides (GPGs) on niche topics — monitoring these publications ensures your validation approach remains current.

By incorporating these practices, organizations turn GAMP 5 theory into practical compliance. Many of these ideas echo advice found in official sources: ISPE’s recent publications emphasize a risk-based, science-driven methodology ([3]) ([4]). For example, using risk to prioritize remaining testing (e.g. skip regression tests for low-risk fields) is specifically endorsed by GAMP thinking. The ultimate outcome of these practices is more efficient validation — fewer wasted tests, fewer deviations — and a more robust quality system.

Case Example: Implementing GAMP 5 for a New MES

Consider a mid-sized pharmaceutical company adding a new Manufacturing Execution System (MES) to digitize batch records. Applying GAMP 5 might look like this:

Risk and Scope: The project team (quality, production, IT) catalogs MES functions (batch recipes, alerts, report generation). They identify that the recipe execution logic has the highest risk for product quality, while standard reporting (e.g. inventory logs) is lower risk.
Category Assignment: The MES software is a configurable product (Category 4). Thus, many functions are standardized modules. Some specialized modules (formulas for cell culture) are configured by the company.
Supplier Engagement: The project manager obtains the vendor’s validation manual and software specifications. These serve as a baseline for testing.
Requirements: The team writes URS items, e.g. “The MES shall enforce change control on all critical recipe fields” and “Only authorized user roles can release a batch record.” Each requirement is stated objectively so test scripts can verify it.
Configuration and Design: The system is installed, and the IT team documents how they will configure user roles, permissions, and network interfaces. Any customization (e.g. a new report format) is documented with design specifications.
Validation Testing: They draft IQ/OQ/PQ test protocols. Critical tests include role-based login scenarios, recipe execution under normal/abnormal conditions, and audit trail verification. Tests for less critical functions (like printing batch pdfs) are minimal (“smoke tested”).
Deficiency Handling: Suppose during OQ they find that a logged-in user can inadvertently modify a comment on a released batch (a deficiency). They raise a deviation, work with the vendor to patch or restrict the function, then re-test.
Go-Live: After successful testing and QA approval, the MES is released. Users are trained with updated SOPs. The validation report lists all passed tests and any deviations (with their resolutions).
Post-Implementation: The company schedules a periodic check at year-end to review system performance. They keep track of cyber vulnerabilities (e.g. a new Windows update) via their IT change control, applying patches in a test environment first.

Throughout, the project manager uses GAMP 5 templates for test plans and trace matrices, ensuring a clear audit trail of compliance. The overall effort is streamlined: because the vendor documentation was leveraged, the team avoided writing tests for every basic function (like “enter digits into batch ID field”), focusing instead on high-impact scenarios.

This example illustrates how GAMP 5 turns potentially large validation tasks into structured, risk-managed projects. Even though it’s fictional, it mirrors industry practice and shows how compliance obligations (like 21 CFR Part 11’s access control) are met via careful planning and documentation.

Key Takeaways

GAMP 5 is a Best-Practice Framework: It provides a structured, risk-based approach to validate computerised systems in pharma manufacturing ([1]) ([2]). Its aim is to ensure systems are effective, high-quality, and compliant.
Core Concept – Risk-Based Life Cycle: Follow the GAMP V-model lifecycle and tailor the validation effort to system risk. Critical functions get thorough testing; lower-risk features can be verified with lighter methods.
Updates for 2025–2026: The 2022 GAMP 5 Second Edition adds guidance on modern topics (AI/ML, open-source, cloud), complemented by the dedicated ISPE GAMP AI Guide (July 2025), FDA's finalized CSA guidance (September 2025), and the EU's draft Annex 11 revision and new Annex 22 on AI (July 2025, final expected 2026). Firms should update their validation strategies to cover these technologies and align with the latest regulatory expectations.
Data Integrity is Paramount: Any GAMP implementation must reinforce ALCOA+ principles. Audit trails, secure records, and traceable changes are non-negotiable. GAMP’s emphasis on quality helps meet FDA 21 CFR Part 11 and EU Annex 11 requirements.
Best Practices: Engage cross-functional teams early, write clear requirements, leverage vendor documents, and automate judiciously. Use risk assessments and change control to focus resources. Regularly review system performance and stay current with guidance.
Actionable Compliance: Rather than treating validation as a one-time project, view GAMP as an ongoing quality system. Continual improvement (through periodic reviews, training, and technology refresh) keeps computerized systems under control as regulations and technologies evolve.

By adhering to GAMP 5 and its latest guidance, pharmaceutical manufacturers can confidently deploy computerized systems – from standard process controls to cutting-edge AI tools – with assurance that they remain compliant and deliver quality outcomes. With the convergence of GAMP 5, the dedicated GAMP AI Guide, FDA's CSA framework, and the EU's forthcoming Annex 11/22 updates, 2026 represents a pivotal year for computerized system validation. Staying current with these developments and integrating new technologies carefully will help companies maintain compliance and competitive advantage ([2]).

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