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PACS--clinical experience at UCLA.

H Kangarloo1

  • 1Department of Radiological Sciences, UCLA School of Medicine 90024.

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|May 1, 1991
PubMed
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Picture Archiving and Communication Systems (PACS) implementation enhanced clinical workflows and teaching. PACS improved radiology consultations and enabled effective remote collaboration, benefiting patient care.

Area of Science:

  • Radiology
  • Medical Informatics

Background:

  • UCLA initiated Picture Archiving and Communication Systems (PACS) implementation starting with Pediatric Radiology and the Coronary Care Unit.
  • The project expanded to encompass all CT and MR imaging.

Purpose of the Study:

  • To detail the implementation and clinical advantages of PACS at UCLA.
  • To assess the impact of PACS on radiology practice, clinical conferences, and medical education.

Main Methods:

  • Phased implementation of PACS across various hospital departments, including Pediatric Radiology and Coronary Care Unit.
  • Integration of PACS to enable communication between outpatient facilities, the main hospital, and a remote research facility.
  • Evaluation of clinical benefits and user satisfaction.

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Main Results:

  • Completed PACS development for all CT and MR imaging, facilitating inter-facility communication.
  • Enhanced effectiveness of clinical conferences, allowing more in-depth case review with reduced overall time.
  • Positive clinician satisfaction reported at remote sites, with a noted need for integrated radiologist interpretations.
  • Enabled interactive medical student teaching and facilitated a new paradigm for radiological practice through quantitative image analysis.

Conclusions:

  • PACS implementation at UCLA has successfully integrated various clinical and research facilities.
  • PACS offers significant clinical advantages, including improved conference efficiency, enhanced teaching capabilities, and advanced diagnostic consultations.
  • The system supports effective remote collaboration and quantitative image analysis, transforming traditional radiology practice.