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Watch a demonstration of the new INRG Data Commons

By News

At the 2016 Advances in Neuroblastoma Research meeting, CRI Director Sam Volchenboum presented a demo of the International Neuroblastoma Risk Group (INRG) Data Commons. The Data Commons, built by a UChicago team including the Center for Research Informatics and Center for Data Intensive Science, brings together phenotypic information and genomic data related to neuroblastoma. Researchers can perform complex cohort discovery, then conduct genomic analysis in a secure, high-performance environment. To learn more about how the Data Commons works, watch Sam’s demo above.

REDCap New Features

By News, REDCap

The CRI’s instance of REDCap has been upgraded to version 6.14.0. The newest features are:

• Responsive Design of Web Pages
• Live Filters for Reports
• New Action Tag @USERNAME
• New Action Tag @DEFAULT
• CDISC ODM (XML) Export

Click here to read about these newest features. Please contact REDCap Support with any questions. Thank you.

CRIO Bob Grossman launches NCI Genomic Data Commons

By News

The University of Chicago has publicly launched the National Cancer Institute’s Genomic Data Commons, developed by Chief Research Informatics Officer Bob Grossman. Representing two years of work by Dr. Grossman’s Center for Data Intensive Science and the CRI’s Bioinformatics Core, the GDC brings together genomic and clinical cancer data from multiple sources on a unified platform. Data that was formerly available only piecemeal is now centralized and standardized, making large datasets for cancer research far more accessible to scientists. The GDC is not only an unprecedentedly large repository of this data, it is also linked to tools for analysis and data sharing. Read more about the GDC here.

Vice President Joe Biden announced the GDC’s launch as part of the National Cancer Moonshot Initiative. By democratizing access to data and analysis tools and making it easier for researchers to collaborate, the GDC will contribute significantly to this effort to improve prevention, diagnosis, and treatment of cancer. The CRI is proud to have contributed bioinformatics expertise and resources to this important effort. Learn more about our contribution here.

CCP highlighted as the future of health care for high-risk elders

By News

In a recent paper published in JAMA, Sachin H. Jain and coauthors looking at ways to improve health care delivery for high-risk older patients discussed Dr. David Meltzer’s Comprehensive Care Program (CCP) as a promising way to increase continuity of care and improve outcomes for these patients whose needs, Jain writes in an article for Forbes, “are part medical, part social.”

The CCP study, for which the CRI built the technological infrastructure, pairs patients with a hospitalist who sees them both in the hospital and during outpatient follow-up visits. Jain concludes, “Ultimately, what is most exciting about the CCP and similar programs is the willingness to redesign traditional roles and models of care.”

Read more about the CRI’s contribution to the CCP initiative here.

New REDCap Features

By News, REDCap

The CRI’s instance of REDCap has been upgraded to version 6.10. The newest features are:

• Project Folders
• Survey Themes
• Embedded Videos for Descriptive Fields
• Embedded Audio for Descriptive Fields
• Auto-complete for Drop-down Fields
• Auto-continue to Next Survey
• Other Improvements

Click here to read about these newest features. Please contact REDCap Support with any questions. Thank you.

“To keep hospitals safer, we need to look at many potential relationships between events.”

By News

How can doctors predict — and thus help prevent — when a patient is at increased risk of cardiac arrest while in the hospital? Does emergency room crowding affect care of patients on the hospital floor? What previously unknown links exist between weather events, staffing, patients’ lab values, outcomes, and other data, and how can this information be used to improve care?

The CRDW is an example of the kind of large, well-curated dataset that can make this advanced analysis possible. To learn more about how big data is making hospitals safer, read the interview with our director Sam Volchenboum in the Washington Post.

A ‘Netflix-like’ predictive model: Hospital systems could pinpoint which patients are most likely to code on their watch