An automated results notification system for PACS

Steven Horii, Regina Redfern, Eric Feingold, Harold Kundel, Calvin Nodine, Deborah Arnold, Stephanie Abbuhl, Robert Lowe, Inna Brikman

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The purpose of this study was to determine if the interval between an examination being ordered by an Emergency Department physician and his or her review of the report and images could be shortened by notifying the physician that the results were available. This hypothesis was based on work done previously in the Medical Intensive Care Unit that showed that physicians would wait to review results for a time considerably longer than the time required for the radiologist to review the images and provide a preliminary report. The software developments operate properly and show that even simple integration of multiple information systems (PACS, RIS, speech recognition) can provide useful features. Early results indicate that the Emergency Department (ED) physicians prefer the notification system over the previous (travel to check on images and reports) methods. The hypothesized time reductions did occur, although it is not clear that the notification system accounted for all of them. A system for automated notification of radiology results availability has been shown to be possible and practical. To do this automated interaction of 3 systems with a low-level or no electronic integration was required. Although not fully successful for this study, early physician response has been positive, and requests to expand this service hospitalwide now are common.

Original languageEnglish (US)
Pages (from-to)192-198
Number of pages7
JournalJournal of Digital Imaging
Volume14
Issue number4
DOIs
StatePublished - Dec 2001
Externally publishedYes

Keywords

  • Integrated systems
  • Picture archiving and communication system
  • RIS
  • Results reporting
  • Speech recognition

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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