Yottalook at RSNA 2008

Want to find out more about Yottalook? During RSNA this year, we will be having following sessions/presentations and exhibits.

Yottalook Local™: Demonstration of an Enterprise-wide Semantic Search Engine for Patient Information

This exhibit demonstrates the use and applications of an enterprise-wide semantic search engine to index radiology reports. The Yottalook Local search engine allows radiologists to search for patient information and reports quickly. By analyzing user queries in real time, the engine further enhances the user search experience by providing thumbnails, related terms using various ontologies, query-related special content, and modification of search results based on specific query terms used.

EXHIBIT HOURS:
Sun (Nov 30) 8:00 AM - 6:00 PM
Mon (Dec 1) - Thurs (Dec 4) 7:00 AM - 10:00 PM
Fri (Dec 5) 7:00 AM - 12:45 PM
LOCATION: Lakeside Learning Center
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Multimedia RSS for Immersive Display of Radiology Image Search Results

Multimedia RSS (MRSS) can be used to display radiology image search results from the web in a highly optimized and immersive 3D environment which permits the user to zoom, pan, and "fly-though" their search results. We will discuss similarities and difference between standard MRSS and RSS and how to use various online and client RSS readers to subscribe to MRSS feeds. We will also demonstrate how to use MRSS to distribute other multimedia content including radiology resident conference video.

EXHIBIT HOURS:
Sun (Nov 30) 8:00 AM - 6:00 PM
Mon (Dec 1) - Thurs (Dec 4) 7:00 AM - 10:00 PM
Fri (Dec 5) 7:00 AM - 12:45 PM
LOCATION: Lakeside Learning Center
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SESSION: What are Radiologists Searching For? - Obtaining Quality Information at the Desktop, Radiology Specific Search Engines and Beyond
Finding the right information at the time of patient care: Yottalook case study

The web search engine has become the preferred decision support tool by Radiologists, however, overall satisfaction levels for websearch remain relatively low. Multiple factors contribute to this dissatisfaction including: (1) content returned by a search often does not adequately address the question being asked, (2) the content is not presented in a way that it can be "digested" easily, (3) multiple searches or search refinements are frequently required to achieve success. The purpose of this session is to familiarize attendees with a new generation of Radiology specific search and decision support tools that are geared towards providing high quality Radiology-centric search results to the desktop with a minimum of effort by the user. Novel presentation methods which aggregate information from multiple sources (ie. mashups) in a single portal will also be featured. This format allows users to consume content more efficiently than through conventional means.

DATE: Sunday, November 30, 2008
START TIME: 12:15 PM
END TIME: 01:45 PM
LOCATION: S501ABC
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Moving toward a Hospital-wide HL7-based Semantic Search Engine for Patient Information

Our hospital-wide patient information search engine was successful in indexing radiology reports as well as extracting semantic metadata from the content. Such Web-based tools can provide decision support at the point of care and offer robust capabilities for data-mining and retrospective data retrieval.

DATE: Monday, December 01 2008
START TIME: 11:30 AM
END TIME: 11:40 AM
LOCATION: S403A
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SESSION: Continuing Medical Education in the Clinical Practice (Basic Imaging Informatics)
YottaLook™: How to Avoid Searching for Content in All the Wrong Places?

Yottalook is a Web search engine that allows imaging specialists to obtain radiology-specific content and images from both the Internet and within the enterprise (www.yottalook.com). In this refresher course we will demonstrates the use and applications of a medical imaging search engine that identifies and retrieves online peer-reviewed content (including images) not indexed by generic search engines. Users will also learn how Yottalook enhances the search experience by analyzing user queries and modifying them in real time with RadLex-driven ontologies.

DATE: Thursday, December 04, 2008
START TIME: 08:30 AM
END TIME: 10:00 AM
LOCATION: S403A
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