What is Predetermined Change Control Plan for ML-Enabled Devices?
A predetermined change control plan for ML-enabled devices is a documented plan that specifies which machine-learning changes a medical device manufacturer intends to make after authorization and how those changes will be controlled. It is important because it allows regulators to evaluate certain future updates in advance while still preserving safety, effectiveness, and traceability.
In Depth
In practice, the plan defines the model update boundaries, the data or performance triggers that may prompt a change, the methods used to validate the change, and the criteria for deploying it safely. It is especially relevant for devices that adapt over time or rely on machine learning in a way that could affect clinical performance, cybersecurity, or patient risk.
For compliance teams, this plan helps separate approved innovation from uncontrolled postmarket modification and creates a clearer evidentiary path for inspections and lifecycle management. The concept is most directly associated with FDA expectations for AI/ML-enabled medical devices and with broader medical-device quality and postmarket controls; it also aligns with ISO 13485-style change control concepts and with the related AI-enabled medical device predetermined change control plan terminology in the glossary.
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