Welcome to the CBIIT Speaker Series Wiki
The NCI Center for Biomedical Informatics and Information Technology Speaker Series is a new, bi-weekly knowledge-sharing forum featuring both internal and external speakers on topics of interest to the biomedical informatics and research communities. General topics to be discussed include but are not limited to novel experimental approaches in basic research that require innovative informatics solutions; general informatics methodologies for specific tasks such as natural language processing and data exchange/integration; novel software applications (proprietary or open source); standards; ontologies; open-source development projects; human/computer interactions; future trends in biomedical informatics research and development; and CBIIT/caBIG partnerships inside and outside NCI/NIH.
Please refer to the Speaker Calendar below for upcoming speakers and the "Running Updates" to the right for news and announcements.
RSS Feed: You may subscribe to the "Running Updates" to the right, by using the following RSS feed in your Feed Reader software:
Nominators are currently restricted to Program Staff. (To nominate a speaker, please go to the Online Nomination Form, log in to JIRA, complete the form, and click "submit." A member of the Communications Team will contact you with a status update.)
Presentations: Please visit our Presentations page to view past speakers' presentations and pdf files or our YouTube playlist.
To dial in please use: 888-790-3440 and enter passcode:7560
For access to Adobe Connect, please visit http://cbiit.adobeconnect.com/cbiitspeaker
Location: 2115 East Jefferson Street, Room #6033
Time: 11:00 am - 12:00 pm
Questions? Please email us at NCICBIITcomms@mail.nih.gov
Links of Interest
VCDE Virtual Journal Club - The Vocabulary & Common Data Elements Workspace has created a Virtual Journal Club, meant to build upon the familiar journal club activity found in most collegiate and graduate schools. Further, it will borrow from the familiar “seminar series,” also prevalent at most institutions of higher learning. Finally, it will include a more recent element of knowledge sharing, that encompasses web sites, blogs, and social media streams, etc., which can be part of the Journal Club presentations and knowledge sharing.
Running Updates
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NEWS: Dr. Siegel's presentation (both a pdf file and a screencast/video) has now been posted, visit our Resources page to download or view. Subscribe to our RSS feed on left of page for auto updates.
Over the past 15 years, our group at the Dana-Farber/Harvard Cancer Center (DF/HCC) has built an evolving oncology clinical trials imaging informatics platform, Precision Imaging Metrics. This platform was built by and for the DF/HCC Tumor Imaging Metrics Core to manage the workflow, image assessments, communication, reporting, billing, and compliance needs of our cancer center and is currently used as a CCSG shared resource to manage over 1,000 active DF/HCC clinical trials and over 15,000 time point assessments per year, with turnaround time as fast as one hour after the scan. This software has been implemented at seven NCI-designated Cancer Centers around the country to improve clinical trials imaging assessment quality, compliance, and efficiency. NCI funding has been critical in the development and evolution of this software platform: a variety of grant mechanisms (CCSG, ITCR U24, SBIR, AIP) have supported our efforts in various ways as the project has grown and matured. This presentation will summarize the phases of the project and the ways NCI funding has supported us throughout the product life cycle.
Natural language processing (NLP) applied to unstructured text of patient records can assist in codifying data elements. We will describe the portability and reusability of NLP queries across institutions, introducing a technique called "Iterative Interactive Enrichment" to optimize identification of discrete data points within pathology reports for Non-Hodgkin's Lymphoma (NHL) patients.
A major barrier to the conduct of biomedical research is how difficult it is to share biomedical research data, both within and between institutions. Data located in different data repositories are almost always organized, categorized, and represented in different ways. This problem has been referred to as “the Chasm of Semantic Despair.” In an attempt to address this problem, the Cancer Informatics group at the NCI, in collaboration with their colleagues at the FDA, ISO, HL7, and CDISC, developed a new international standard data model for biomedical research called the Biomedical Research Integrated Domain Group (BRIDG) model. The purpose of the BRIDG model is to “bridge” the large number of Chasms of Semantic despair that exist both within and between academic medical centers, pharmaceutical companies, and government regulators. The Sidney Kimmel Cancer Center at Thomas Jefferson University in Philadelphia, has successfully designed and implemented a cancer research information system based on the NCI-BRIDG model. In this talk. Dr. Klumpp will describe how the BRIDG model has been implemented in the cancer research information system at Thomas Jefferson and the benefits of such an integrated system.
Speaker Calendar
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