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Online Error Reporting for Managing Quality Control Within Radiology.

Pedram Golnari1, Daniel Forsberg1,2, Beverly Rosipko1

  • 1Department of Radiology, University Hospitals Case Medical Center, 11100 Euclid Avenue, Cleveland, OH, 44106, USA.

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|October 30, 2015
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Summary
This summary is machine-generated.

A web-based error reporting tool improved quality control in radiology by restoring feedback between radiologists and technologists. This system identified specific error types, aiding departmental focus and enhancing diagnostic imaging quality.

Keywords:
PACSQuality assuranceWeb technology

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Area of Science:

  • Radiology
  • Health Informatics
  • Quality Management

Background:

  • Picture Archiving and Communication Systems (PACS) in radiology improve efficiency but can reduce quality feedback.
  • Traditional paper-based quality control reports lack detailed analysis and direct communication.
  • Restoring the radiologist-technologist feedback loop is crucial for maintaining and improving diagnostic quality.

Purpose of the Study:

  • To evaluate if an online error reporting software can focus quality control efforts in a radiology department.
  • To assess the impact of a web-based tool on identifying and analyzing errors in radiologic examinations.
  • To test the hypothesis that data from an online error reporting system can improve departmental quality control.

Main Methods:

  • Implementation of a web-based issue-reporting tool for quality control in a radiology department.
  • Analysis of 372,258 radiologic examinations over a 6-month period.
  • Categorization and quantification of submitted errors, including exam protocol, validation, and technique.

Main Results:

  • A total of 930 errors were reported, yielding an error rate of 0.25%.
  • Exam protocol errors were highest in ultrasonography (technologist documentation), while imaging protocol errors were highest in computed tomography.
  • Positioning and incorrect accession were the most frequent errors in exam technique and validation, respectively.

Conclusions:

  • The online error reporting system provided valuable data for focusing quality control efforts.
  • While the overall error rate was low, underreporting and staff reception may influence reporting rates.
  • Continuous monitoring and analysis of reported errors are essential for maintaining high-quality diagnostic imaging services.