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Preventing errors in laterality.

Elliot Landau1, David Hirschorn, Iakovos Koutras

  • 1Staten Island University Hospital, 475 Seaview Avenue, Staten Island, NY, 10305, USA, elliotlandau2@gmail.com.

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|October 3, 2014
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Summary

A new system highlights laterality terms in radiology reports, successfully detecting and correcting errors before finalization. This tool significantly reduces reporting mistakes, improving diagnostic accuracy in medical imaging.

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Area of Science:

  • Medical Imaging
  • Radiology
  • Health Informatics

Background:

  • Errors in laterality, misreporting left-sided findings as right-sided or vice versa, pose a risk in medical reporting.
  • While protocols exist in other specialties, specific studies on preventing laterality errors in radiology reports are scarce.

Purpose of the Study:

  • To develop and evaluate a system for detecting and correcting laterality errors in radiology reports before finalization.

Main Methods:

  • A system was created to display radiology reports in a separate window with highlighted laterality terms.
  • Radiologists could correlate report terms with images in PACS and correct errors prior to finalizing the report.
  • The system monitored and recorded detected laterality errors over a seven-month period.

Main Results:

  • The system detected 32 laterality errors over seven months, with a detection rate of 0.0007%.
  • Computed tomography (CT) showed the highest error detection rate among all imaging modalities.
  • A significantly higher number of errors were detected in male patients compared to female patients.

Conclusions:

  • The developed system effectively detects and allows for the correction of laterality errors in radiology reports.
  • Implementation of this system can enhance the accuracy and reliability of radiological reporting.
  • Further investigation into gender-specific error patterns may be warranted.