Implementation of an HL7/DICOM broker for automated patient demographic data entry in computed radiography systems

Steven G. Langer, Brent K. Stewart

Research output: Contribution to journalConference article

1 Scopus citations

Abstract

As radiology departments move closer to enterprise-wide electronic imaging systems, the importance of timely and accurate patient and exam information cannot be overstated. In addition, automated entry of patient and exam information into image acquisition modalities (e.g., computed radiography, CR) enhances technologist productivity, which is critical in high volume practices (e.g. a major trauma center). A difficulty arises, however, since the authoritative source of patient and exam information may be a Radiology Information System (RIS) or a Hospital Information System (HIS) packages its data differently than most imaging modalities. To bridge this gap, we have implemented an interface engine to affect the translation of Health Level Seven (HL7) messages from the RIS (or HIS) into Digital Imaging Communications In Medicine (DICOM) messages for seven CR systems (Fuji Medical Systems, Burbank, CA). Recent measurements suggest that manual technologist transcription of information into the CR unit takes 45.4 plus or minus 3.0 seconds. Since the introduction of the HL7/DICOM broker, the time has dropped to 5.4 plus or minus 0.1 seconds to produce the same information.

Original languageEnglish (US)
Pages (from-to)556-560
Number of pages5
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3339
DOIs
StatePublished - Dec 1 1998
EventMedical Imaging 1998: PACS Design and Evaluation: Engineering and Clinical Issues - San Diego, CA, United States
Duration: Feb 24 1998Feb 24 1998

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Keywords

  • DICOM
  • HL7
  • Medical informatics
  • Radiology

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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