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    Software & AI

    Predetermined Maintenance vs PCCP

    In one line
    Distinction between routine maintenance changes (cybersecurity patches, minor fixes) and PCCP-controlled algorithm changes.
    Definition
    Not every software change to an AI/ML device requires a PCCP - cybersecurity patches, bug fixes, and infrastructure updates often fall under standard software maintenance. PCCPs specifically govern pre-specified algorithm modifications. The key test is whether a change modifies the model's behavior or performance claims. Changes outside an authorized PCCP still follow FDA's guidance on deciding when to submit a 510(k) for a software change. Cybersecurity patches for cleared devices generally do not need a new submission unless they affect safety or effectiveness, in line with FDA's postmarket cybersecurity guidance.
    Why it matters
    Drawing the boundary clearly in the submission and SOPs prevents unnecessary submissions and confusion at audit time.
    Common pitfalls
    • •Confusing routine software maintenance activities with changes that require a PCCP can lead to unnecessary regulatory submissions and delays.
    • •Failing to clearly define the scope of a PCCP in relation to general software maintenance can result in regulatory non-compliance during audits.
    • •Assuming all AI/ML model retraining constitutes a PCCP-relevant change without distinguishing between performance-enhancing updates and core algorithm modifications is a common misstep.
    • •Not adequately documenting the rationale for classifying a software change as maintenance versus a PCCP-governed modification can create audit findings.
    • •Applying a PCCP to non-AI/ML software components or changes that do not alter the pre-specified algorithm is an inefficient regulatory strategy.
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    MedTech terminology is full of pairs that look interchangeable but carry very different regulatory, clinical, and commercial consequences. Picking the wrong framework, pathway, or standard early in a project can add months to a submission, invalidate clinical evidence, or trigger an audit finding. Side-by-side comparison is the fastest way to surface those differences before they become costly mistakes.

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