Compare

    Two terms, side by side

    Pick any two terms to see definitions, context, pitfalls, and sources in parallel.

    Curated comparison tables

    In-depth, attribute-by-attribute tables for the most common MedTech term pairs. Each row is sourced from the linked term pages.

    Software & AI

    Predetermined Change Control Plan(PCCP)

    In one line
    FDA mechanism to pre-authorize specific modifications to AI/ML-enabled devices.
    Definition
    A Predetermined Change Control Plan (PCCP) is a document, included in a marketing submission, that describes planned modifications to an AI/ML-enabled device, the methods used to develop, validate, and implement those modifications, and the impact on the device. A PCCP has three parts: a description of modifications, a modification protocol (data management, retraining, performance evaluation and update procedures) and an impact assessment. Once authorized, changes made in line with the plan do not need a new submission. FDA finalized its guidance on PCCPs for AI-enabled device software functions in December 2024, and section 515C of the FD&C Act, added in 2022, gives FDA the authority to approve them for all devices.
    Why it matters
    PCCPs let manufacturers update AI/ML models within an authorized envelope without a new submission, while preserving safety and effectiveness controls.
    Common pitfalls
    • •Misunderstanding that a PCCP grants blanket approval for any change; only modifications explicitly covered and detailed in the authorized plan are permitted without new submission.
    • •Failing to adequately specify validation methods or performance evaluation procedures in the PCCP, leading to potential FDA rejection or challenges during post-market implementation.
    • •Assuming PCCPs eliminate all regulatory oversight for AI/ML updates; significant deviations or changes outside the scope of the authorized plan still require new regulatory review.
    • •Underestimating the level of detail required in the PCCP, particularly regarding data management and retraining protocols, which are crucial for successful implementation.
    Open full page
    Select term B to compare.

    Why compare MedTech terms side by side?

    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.

    Each comparison on this page pulls from the same vendor-neutral, sourced definitions used throughout the MedTech Terms glossary. You see the one-line summary, the formal definition, why it matters in practice, common pitfalls, and the primary sources (FDA guidance, EU MDR/IVDR articles, ISO/IEC standards, MDCG documents, IMDRF principles) that back each entry. That makes the comparison defensible in regulatory strategy memos, design reviews, and submission narratives.

    Common comparison patterns

    How to use this tool

    Pick term A and term B from the dropdowns, or click a preset above. The URL updates with both slugs so you can bookmark or share the exact comparison with a colleague, a notified body reviewer, or your regulatory consultant. Click Open full page on either side for the complete entry, including FAQs, related terms, and the full citation list. If you are not sure which term to start with, browse the Categories view or the A-Z index.

    MedTech Terms is a vendor-neutral community resource sponsored by Blue Goat Cyber. Definitions are written for educational use and are not legal or regulatory advice.