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Proceedings Paper

A collaborative framework for contributing DICOM RT PHI (Protected Health Information) to augment data mining in clinical decision support
Author(s): Ruchi Deshpande; Wanwara Thuptimdang; John DeMarco; Brent J. Liu
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Paper 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.

Paper Details

Date Published: 19 March 2014
PDF: 7 pages
Proc. SPIE 9039, Medical Imaging 2014: PACS and Imaging Informatics: Next Generation and Innovations, 90390K (19 March 2014); doi: 10.1117/12.2044010
Show Author Affiliations
Ruchi Deshpande, The Univ. of Southern California (United States)
Wanwara Thuptimdang, The Univ. of Southern California (United States)
John DeMarco, Univ. of California, Los Angeles (United States)
Brent J. Liu, The Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 9039:
Medical Imaging 2014: PACS and Imaging Informatics: Next Generation and Innovations
Maria Y. Law; Tessa S. Cook, Editor(s)

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