A collaborative framework for contributing DICOM RT PHI (Protected Health Information) to augment data mining in clinical decision support

Ruchi Deshpande; Wanwara Thuptimdang; John DeMarco; Brent J. Liu

doi:10.1117/12.2044010

19 March 2014 A collaborative framework for contributing DICOM RT PHI (Protected Health Information) to augment data mining in clinical decision support

Ruchi Deshpande, Wanwara Thuptimdang, John DeMarco, Brent J. Liu

Author Affiliations +

Proceedings Volume 9039, Medical Imaging 2014: PACS and Imaging Informatics: Next Generation and Innovations; 90390K (2014) https://doi.org/10.1117/12.2044010
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

We have built a decision support system that provides recommendations for customizing radiation therapy treatment plans, based on patient models generated from a database of retrospective planning data. This database consists of relevant metadata and information derived from the following DICOM objects - CT images, RT Structure Set, RT Dose and RT Plan. The usefulness and accuracy of such patient models partly depends on the sample size of the learning data set. Our current goal is to increase this sample size by expanding our decision support system into a collaborative framework to include contributions from multiple collaborators. Potential collaborators are often reluctant to upload even anonymized patient files to repositories outside their local organizational network in order to avoid any conflicts with HIPAA Privacy and Security Rules. We have circumvented this problem by developing a tool that can parse DICOM files on the client’s side and extract de-identified numeric and text data from DICOM RT headers for uploading to a centralized system. As a result, the DICOM files containing PHI remain local to the client side. This is a novel workflow that results in adding only relevant yet valuable data from DICOM files to the centralized decision support knowledge base in such a way that the DICOM files never leave the contributor’s local workstation in a cloud-based environment. Such a workflow serves to encourage clinicians to contribute data for research endeavors by ensuring protection of electronic patient data.

Citation Download Citation

Ruchi Deshpande, Wanwara Thuptimdang, John DeMarco, and Brent J. Liu "A collaborative framework for contributing DICOM RT PHI (Protected Health Information) to augment data mining in clinical decision support", Proc. SPIE 9039, Medical Imaging 2014: PACS and Imaging Informatics: Next Generation and Innovations, 90390K (19 March 2014); https://doi.org/10.1117/12.2044010

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