Resources: Page 141

Machine-learning model predicts interpretation delays
By Erik L. Ridley
Thursday, December 5 | 11:00 a.m.-11:10 a.m. | SSQ11-04 | Room N229A machine-learning algorithm can predict delays in performing and interpreting on-call radiology exams, a team of California researchers will report in this presentation.
November 13, 2019
Report comparison tool facilitates resident feedback
By Erik L. Ridley
Thursday, December 5 | 10:50 a.m.-11:00 a.m. | SSQ11-03 | Room N229A group of researchers from Switzerland has developed a report comparison tool that enables residents to receive feedback on their reports from attending radiologists.
November 13, 2019
Pediatric teleradiology portal offers needed expertise
By Erik L. Ridley
Thursday, December 5 | 9:40 a.m.-9:50 a.m. | RC613-07 | Room S502ABIn this talk, researchers will report on the successful experience of the World Federation of Pediatric Imaging second-opinion teleradiology service.
November 13, 2019
Gaze-tracking system captures radiologist search patterns
By Erik L. Ridley
Wednesday, December 4 | 3:50 p.m.-4:00 p.m. | SSM15-06 | Room E353BA real-time attention-tracking system can capture a radiologist's search patterns while interpreting a study, potentially paving the way for more interactive artificial intelligence algorithms, according to this talk.
November 13, 2019
Patient photographs help quality improvement with x-rays
By Erik L. Ridley
Wednesday, December 4 | 12:45 p.m.-1:15 p.m. | QI125-ED-WEB1 | Lakeside, QR Community, Station 1Taking patient photographs at the time of radiography exams can be useful for quality improvement, according to this poster presentation.
November 13, 2019
What you need to know before replacing your PACS
By Erik L. Ridley
Wednesday, December 4 | 12:15 p.m.-12:45 p.m. | IN146-ED-WEA7 | Lakeside, IN Community, Station 7In the first of two poster presentations on PACS replacement, researchers from Connecticut will share their keys to success for implementing a new PACS.
November 13, 2019
Quality project speeds critical results notification
By Erik L. Ridley
Tuesday, December 3 | 12:45 p.m.-1:15 p.m. | QI119-ED-TUB2 | Lakeside, QR Community, Station 2Researchers from the University of California, San Francisco will present results from an initiative to notify referring providers about critical imaging results in a more timely manner.
November 13, 2019
Actionable imaging findings pose workload challenge
By Erik L. Ridley
Tuesday, December 3 | 12:45 p.m.-1:15 p.m. | IN215-SD-TUB5 | Lakeside, IN Community, Station 5In this scientific poster, researchers explored the challenges to radiologist workload that are associated with the need to communicate actionable imaging findings to referring physicians.
November 13, 2019
Audiovisual radiology reports draw attention
By Erik L. Ridley
Tuesday, December 3 | 12:15 p.m.-12:45 p.m. | QI114-ED-TUA1 | Lakeside, QR Community, Station 1In this poster presentation, a team of researchers from Brazil will describe how screen capture software and a video reporting tool can be used to create audiovisual radiology reports.
November 13, 2019
Lessons learned from Pa. patient notification law
By Erik L. Ridley
Tuesday, December 3 | 12:15 p.m.-12:45 p.m. | QI030-EB-TUA | Lakeside, QR Community, Hardcopy BackboardResearchers from Pennsylvania will present their initial experience in complying with state legislation mandating patient notification of clinically significant imaging results.
November 13, 2019
Software platform facilitates CDS for radiologists
By Erik L. Ridley
Tuesday, December 3 | 12:15 p.m.-12:45 p.m. | IN144-ED-TUA7 | Lakeside, IN Community, Station 7Researchers from Massachusetts will describe in this poster presentation how their computer-assisted reporting and decision-support system can enable clinical decision support (CDS) for radiologists.
November 13, 2019
Structured reporting yields clarity, standardization
By Erik L. Ridley
Tuesday, December 3 | 11:20 a.m.-11:30 a.m. | SSG06-06 | Room S406AIn this presentation, researchers from Switzerland will detail the effects of structured reports on the length, standardization, and lexicon size of radiology reports.
November 13, 2019
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