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Developing a radiology data base for quality assurance

P J Haug1, M Farrell, J Frear

  • 1Intermountain Health Care, Salt Lake City, UT, USA.

Journal of Digital Imaging
|August 1, 1997
PubMed
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Radiology Information Systems (RIS) were enhanced with a quality assurance database. This system improved radiology report turnaround times and enabled evaluation of x-ray ordering and report quality.

Area of Science:

  • Medical Informatics
  • Radiology
  • Healthcare Quality Improvement

Background:

  • Radiology Information Systems (RIS) manage data for x-ray procedures.
  • Existing RIS lack comprehensive data for quality assurance.
  • A supplemental database was created to integrate RIS and hospital system data.

Purpose of the Study:

  • To implement Continuous Quality Improvement (CQI) in a radiology department.
  • To reduce the time for delivering x-ray reports to physicians.
  • To evaluate the quality of x-ray ordering and reports.

Main Methods:

  • Developed a supplemental database integrating RIS and hospital data.
  • Focused on reducing transcription time for radiology reports.
  • Analyzed physician ordering behavior for CT scans.

Related Experiment Videos

  • Applied a mathematical model for x-ray report quality assessment.

    • Main Results:

    • Achieved a substantial decrease in radiology report transcription time.
    • Identified significant differences in CT ordering behavior among physicians.
    • Pilot systems showed promising results for mathematical modeling of report quality.

    Conclusions:

    • The integrated database supports CQI initiatives in radiology.
    • Improvements in transcription significantly reduce report turnaround time.
    • Further analysis can define a CQI process for medical and radiology reports.