A global log for medical AI

The article introduces MedLog, a protocol designed for event-level logging of medical AI interactions, addressing the lack of standardized logging in the medical AI landscape. MedLog captures nine core fields for each event, including model, inputs, outputs, and outcomes, and has been applied in various deployments such as ICU deterioration prediction and automated sepsis quality reporting. This approach enables better tracking of AI performance, facilitates the detection of biases and adverse events, and supports continuous monitoring and improvement, which is crucial for practitioners deploying AI in healthcare environments.