Mailing List

The mailing list mi2b2-users@nmr.mgh.harvard.edu has been created to aid coordination, collaboration, and problem solving amongst those using the RPDR/Mi2b2 resources.

For general information or to subscribe to this mailing list: https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mi2b2-users

If you ever want to unsubscribe or change your options, visit your subscription page at: https://mail.nmr.mgh.harvard.edu/mailman/options/mi2b2-users/reynolds%40nmr.mgh.harvard.edu

 

RPDR

A new mi2b2 workbench was very recently released, offering new features and improvements. This release enables researchers of the Partners Community to couple the use of the Research Patient Data Registry (RPDR) to the mi2b2 workbench’s ability to access Radiology material stored in the Partners’ network PACS systems.

RPDR is a centralized clinical data registry, or data warehouse. It gathers data from various hospital legacy systems and stores it in one place. Researchers access this data using the RPDR online Query Tool with user-defined queries of RPDR data for aggregate patient totals and, with proper IRB approval, obtain detailed clinical data. Through the RPDR process and the new mi2b2 workbench, researchers can now request Radiology image data along with their patient set. The data delivered to them will include the information they need in order to access the PACS via their personalized mi2b2 workbench. Other features of the newest mi2b2 workbench involve ensured patient protection, direct access to patients' Radiology reports, improved user interface, and a much more automated process of retrieving imaging material.
 

pyRPDR

We have been building python scripts to help with the organizing, formatting, and searching of the text files returned from an RPDR query. They can be found on Github: https://github.com/nareynolds/pyRPDR
 

Mi2b2 Tutorial

The training material for this release can be accessed here: http://mi2b2help.partners.org. This tutorial walks the reader through all the steps of using the workbench, from requesting studies to finally downloading them to a local machine. 
 

pyDicomManager

We have been building python scripts to help with the organizing, formatting, and searching of the DICOM data obtained with the Mi2b2 workbench. They can be found in Github: https://github.com/nareynolds/pyDicomManager