MIDOM ===== Medical Image Deidentification Object Model .. image:: images/midom_logo.png :alt: MIDOM logo A set of concepts and relations to describe the process of DICOM deidentification. This will hopefully make it easier to discuss and develop DICOM deidentification tools and procedures. Medical image deidentification refers to the process of removing personally identifiable information (PII) from medical images. The goal is usually to enable secondary usage of this data for scientific research. Deidentification is a requirement for scientific data use in both the US (`HIPPAA `_) and EU (`GDPR `_). Task ---- The task of removing PII involves both technical and organizational elements. Technical elements consists of both the actual processing of DICOM data as well as quantifying and describing the efficacy and properties of a deidentification process. Organizational elements include software provenance, Standard operating procedures, Security management, incident management. Approach -------- The main difficulty MIDOM tries to address is vagueness and misunderstanding when talking about the different *technical* aspects of deidentification. It does this by naming and describing concepts and showing their relationships. Non-goals --------- What MIDOM is not. No organizational elements MIDOM does not address any of the organizational elements involved in medical image deidentification. These are arguably *more* important than the technical elements, but nevertheless out of scope here. It is hoped that MIDOM will facilitate organizational choices by removing technical doubt. No deidentification instructions MIDOM is about mapping out the structure and objects involved in deidentification, not about how to de de-indentification per-se. MIDOM has no opinion on how to clean data elements, pixel data or how to shift dates. .. toctree:: :maxdepth: 2 :caption: Contents: objects components documentation spaces comparison design glossary