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Recording model use creates substantial storage and data management requirements. Logging volume depends on workflow design, inference frequency, deployment duration, and operational scale. These requirements are consistent with broader trends in healthcare data generation, which is projected to exceed 10,800 exabytes annually by 2025, with a single hospitalization producing on the order of 150,000 data elements. MedLog extends existing clinical data systems by recording model inputs, outputs, metadata, and optional execution traces associated with AI use.

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Retention strategies

Institutions may retain all MedLog records for retrospective analysis or apply selective retention policies to manage storage, cost, and operational requirements. Retention strategies include:
During pilot studies or after major model updates.
During steady-state deployment.
With long-term summaries and shorter-lived detailed artifacts.