A Web-Based Institutional DICOM Distribution System with the Integration of the Clinical Trial Processor (CTP)

To develop and test a fast and easy rule-based web-environment with optional de-identification of imaging data to facilitate data distribution within a hospital environment. A web interface was built using Hypertext Preprocessor (PHP), an open source scripting language for web development, and Java...

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Bibliographic Details
Published in:Journal of medical systems 2015-05, Vol.39 (5), p.45-45, Article 45
Main Authors: Aryanto, K. Y. E., Broekema, A., Langenhuysen, R. G. A., Oudkerk, M., van Ooijen, P. M. A.
Format: Article
Language:English
Subjects:
Clinical trials
Computer Security
Confidentiality
Distribution
Health care
Health Informatics
Health Sciences
Hospital Administration
Humans
Image Processing, Computer-Assisted
Information Storage and Retrieval
Internet
Medical research
Medicine
Medicine & Public Health
Microprocessors
Patient Facing Systems
Query languages
Radiology Information Systems - organization & administration
Servers
Source code
Statistics for Life Sciences
Tasks
User-Computer Interface
World Wide Web
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Summary:To develop and test a fast and easy rule-based web-environment with optional de-identification of imaging data to facilitate data distribution within a hospital environment. A web interface was built using Hypertext Preprocessor (PHP), an open source scripting language for web development, and Java with SQL Server to handle the database. The system allows for the selection of patient data and for de-identifying these when necessary. Using the services provided by the RSNA Clinical Trial Processor (CTP), the selected images were pushed to the appropriate services using a protocol based on the module created for the associated task. Five pipelines, each performing a different task, were set up in the server. In a 75 month period, more than 2,000,000 images are transferred and de-identified in a proper manner while 20,000,000 images are moved from one node to another without de-identification. While maintaining a high level of security and stability, the proposed system is easy to setup, it integrate well with our clinical and research practice and it provides a fast and accurate vendor-neutral process of transferring, de-identifying, and storing DICOM images. Its ability to run different de-identification processes in parallel pipelines is a major advantage in both clinical and research setting.
ISSN:0148-5598
1573-689X
DOI:10.1007/s10916-014-0186-y