7. Clinical Data (Excel)

The anonymization profiles use the same logic for Excel columns as for DICOM tags.

Patient identifiers are hashed using stable pseudonymization. Dates of birth are removed entirely, age values are generalized into 5-year ranges, and all other date fields are shifted by a controlled random offset applied consistently per patient. Clinical variables such as gender and diagnosis are retained to preserve analytical value.

A supplemental Excel template (supplemental_template_sample.xlsx) is provided to standardize data submission.

Institutes should fill this template using anonymized values only.

Each column name in the template corresponds to a predefined anonymization rule in the selected profile (e.g., Patient_ID → hash, Study_Date → date_round_jan1).