Standards Comparison

    ISO 13485

    Mandatory
    2016

    International standard for medical device QMS

    VS

    ISO/IEC 42001:2023

    Voluntary
    2023

    International standard for AI management systems.

    Quick Verdict

    ISO 13485 governs medical device quality for regulatory compliance and patient safety, while ISO/IEC 42001:2023 manages AI risks ethically across lifecycles. Companies adopt them for certification, market access, and trustworthy operations in regulated sectors.

    Quality Management

    ISO 13485

    ISO 13485:2016 Medical devices Quality management systems

    Cost
    €€€€
    Complexity
    High
    Implementation Time
    12-18 months

    Key Features

    • Risk-based QMS for medical device lifecycle
    • Regulatory compliance integration with customer requirements
    • Mandatory medical device files for traceability
    • Process and software validation requirements
    • Post-market surveillance and CAPA processes
    AI Management

    ISO/IEC 42001:2023

    ISO/IEC 42001:2023 Artificial intelligence management systems

    Cost
    €€€€
    Complexity
    High
    Implementation Time
    6-12 months

    Key Features

    • Mandates AI Impact Assessments for high-risk systems
    • Annex A: 38 AI-specific controls in 10 themes
    • Governs full AI lifecycle to decommissioning
    • PDCA and HLS for ISO standards integration
    • Third-party risk management and ethical controls

    Detailed Analysis

    A comprehensive look at the specific requirements, scope, and impact of each standard.

    ISO 13485 Details

    What It Is

    ISO 13485:2016 is an international certification standard specifying requirements for a quality management system (QMS) tailored to medical devices. Its primary purpose is enabling organizations to consistently meet customer and regulatory requirements across the device lifecycle, using a risk-based approach integrated with ISO 14971.

    Key Components

    • Clauses 4-8 cover QMS, management responsibility, resources, product realization, and measurement/improvement.
    • Emphasizes documented procedures, medical device files, process validation, traceability, and post-market surveillance.
    • Built on process approach; allows justified exclusions.
    • Third-party certification via accredited bodies with stage audits.

    Why Organizations Use It

    • Ensures regulatory compliance (e.g., EU MDR, FDA QMSR alignment by 2026).
    • Reduces risks, recalls, and costs; enables market access.
    • Builds stakeholder trust; differentiates in supply chains.

    Implementation Overview

    • Phased: gap analysis, documentation, training, validation, audits.
    • Applies to manufacturers, suppliers, distributors globally.
    • 9-18 months typical; requires eQMS, CAPA, supplier controls.

    ISO/IEC 42001:2023 Details

    What It Is

    ISO/IEC 42001:2023 is the world's first international standard for Artificial Intelligence Management Systems (AIMS). This certifiable framework specifies requirements to establish, implement, maintain, and improve responsible AI governance using the Plan-Do-Check-Act (PDCA) cycle and High-Level Structure (HLS). It addresses AI lifecycle risks like bias, transparency, and societal impact for all organizations—developers, providers, or users—regardless of size or sector.

    Key Components

    The standard features Clauses 4-10 on context, leadership, planning, support, operations, evaluation, and improvement. Annex A provides 38 AI-specific controls across themes like data governance, transparency, and resiliency. Built on PDCA and HLS, it integrates with ISO 9001 and 27001. Certification involves accredited third-party audits, valid for 3 years with surveillance.

    Why Organizations Use It

    Adopters mitigate AI risks, ensure ethical practices, and align with regulations like the EU AI Act. Benefits include enhanced trust, procurement advantages, insurance discounts, and competitive differentiation via demonstrated responsibility and innovation balance.

    Implementation Overview

    Phased rollout includes gap analysis, AI Impact Assessments (AIIAs), training, and KPI monitoring. Typical timeline: 6-12 months, accelerated by existing ISO systems. Applicable globally across industries; requires documented processes and audits.

    Key Differences

    Scope

    ISO 13485
    Medical device QMS lifecycle
    ISO/IEC 42001:2023
    AI management system lifecycle

    Industry

    ISO 13485
    Medical devices globally
    ISO/IEC 42001:2023
    All AI organizations globally

    Nature

    ISO 13485
    Voluntary certification standard
    ISO/IEC 42001:2023
    Voluntary certification standard

    Testing

    ISO 13485
    Stage 1/2 audits, surveillance
    ISO/IEC 42001:2023
    Stage 1/2 audits, surveillance

    Penalties

    ISO 13485
    Loss of certification
    ISO/IEC 42001:2023
    Loss of certification

    Frequently Asked Questions

    Common questions about ISO 13485 and ISO/IEC 42001:2023

    ISO 13485 FAQ

    ISO/IEC 42001:2023 FAQ

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