Resources: Page 461

Data mining with natural language processing identifies mammo trends
By Cynthia E. Keen
Thursday, December 2 | 11:50 a.m.-12:00 p.m. | SSQ10-09 | Room S402ABResearchers at Massachusetts General Hospital in Boston will present their findings of a study on clinical data mining with natural language processing to identify the most common breast pathologies and their notation in nearly 75,000 mammography reports.
November 17, 2010
Automation of exam header details improves rad report accuracy
By Cynthia E. Keen
Wednesday, December 1 | 3:10 p.m.-3:20 p.m. | SSM12-02 | Room S102DWhen diagnostic imaging exam header details are automatically inserted into a radiology report, the percentage of errors that can occur when these details are manually added can drop dramatically, according to researchers from Massachusetts General Hospital in Boston.
November 17, 2010
Tool to identify pneumonia-related x-ray exams introduced
By Cynthia E. Keen
Wednesday, December 1 | 12:15 p.m.-12:45 p.m. | LL-QSE3032-WEA | Lakeside Learning CenterA software tool that "pink flags" chest radiographs ordered by emergency department physicians for patients suspected of having pneumonia -- and tracks them through the radiology department workflow -- will make its debut at a poster presentation on Wednesday.
November 17, 2010
Patient-centric dashboard identifies bottlenecks, inefficiencies
By Cynthia E. Keen
Wednesday, December 1 | 12:15 p.m.-12:45 p.m. | LL-INE1215-WEA | Lakeside Learning CenterA team from Aga Khan University Hospital in Pakistan has developed an automated dashboard designed to share exam status information with patients in waiting rooms, and will discuss how it can be used as a quality improvement tool to identify department bottlenecks and inefficiencies.
November 17, 2010
Real-time CT dose monitoring/reporting system debuts
By Cynthia E. Keen
Wednesday, December 1 | 11:30 a.m.-11:40 a.m. | SSK09-07 | Room S402ABIn an informatics scientific session focusing on quality and safety, a team from Stanford University in Stanford, CA, will present an approach that it has developed to perform real-time CT dose monitoring and reporting.
November 17, 2010
Low radiation dose for CT scout image recommended
By Cynthia E. Keen
Wednesday, December 1 | 11:20 a.m-11:30 a.m. | SSK09-06 | Room S402ABHow variable is the dose of the scout image of a CT scan? How useful is it as a diagnostic tool to radiologists? Find out what researchers at the University of Maryland in Baltimore discovered after conducting a survey of its radiologists who work at five hospitals.
November 17, 2010
RSNA report templates improve US report turnaround time
By Cynthia E. Keen
Tuesday, November 30 | 12:45 p.m.-1:15 p.m. | LL-QSE3035-TUB | Lakeside Learning CenterThe use of RSNA reporting templates and a speech recognition software system can provide a faster way to generate near-real-time reporting for priority and "stat" ultrasound exams, according to radiologists from Aga Khan University Hospital in Pakistan.
November 17, 2010
Structured report developed for MRI staging of rectal cancer
By Cynthia E. Keen
Tuesday, November 30 | 12:45 p.m.-1:15 p.m. | LL-INS-TU3B | Lakeside Learning CenterA structured report template developed for MRI staging of rectal cancer will be introduced and explained in this poster presentation from the University of Texas MD Anderson Cancer Center in Houston. It represents an example of a unique template designed specifically for a specialized examination.
November 17, 2010
Toolbox for RIS/PACS offers quality and safety management utility
By Cynthia E. Keen
Tuesday, November 30 | 12:15 p.m.-12:45 p.m. | LL-QSE3053-TUA | Lakeside Learning CenterThis poster presentation and exhibit will explain the development and successful implementation of a multipurpose "quality toolbox" at Beth Israel Deaconess Medical Center in Boston.
November 17, 2010
What clinicians want in a critical results reporting system
By Cynthia E. Keen
Tuesday, November 30 | 11:20 a.m-11:30 a.m. | SSG07-06 | Room S102DWhat do clinicians want from an automated critical and urgent results reporting system? The radiologists at Dartmouth-Hitchcock Medical Center in Lebanon, NH, conducted an electronic survey to find out and report their findings in this scientific session.
November 17, 2010
Natural language processor autogenerates standardized knee MRI reports
By Cynthia E. Keen
Tuesday, November 30 | 11:00 a.m.-11:10 a.m. | SSG08-04 | Room S402ABIn this presentation, a research team from Stanford University School of Medicine in Stanford, CA, will describe how they developed and validated a natural language processor that identifies semantic content in knee MRI statements from unstructured text and automatically generates full, structured knee MRI reports.
November 17, 2010
Natural language processing helps mine data on follow-up imaging exams
By Cynthia E. Keen
Tuesday, November 30 | 10:50 a.m.-11:00 a.m. | SSG08-03 | Room S402ABIn this scientific session, researchers at Massachusetts General Hospital in Boston discuss how they used a natural language processing program to mine data to analyze trends in recommendation rates over a 16-year period for high-cost versus low-cost imaging exams following a primary abdominal ultrasound study.
November 17, 2010
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