KEYWORDS: Image processing, Quality control, Information science, Compliance, Aliasing, Data processing, Process control, Medical imaging, Imaging systems
Imaging research requires complex data processing and compliance with hospital, state, federal, and international privacy regulations. Such requirements can be particularly challenging for large hospital networks spanning multiple states or countries. In the present study, we combined a governing process for DICOM deidentification and built a software pipeline to support the approved process in a tertiary-care hospital network. This allows researchers to submit large dataset requests and receive fully-compliant files. This study lends evidence that standardized data management at scale is feasible through control policy and fit-to-purpose informatics tools.
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