PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
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.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
James Wetzel, Michael Ciancibello, Karli McMahan, Lindsey Marrero, Byron Miller, Po-Hao Chen, "A standard informatics system and workflow to standardize DICOM data preprocessing at scale," Proc. SPIE 12469, Medical Imaging 2023: Imaging Informatics for Healthcare, Research, and Applications, 124690B (10 April 2023); https://doi.org/10.1117/12.2652949