Literature DB >> 25273506

Preventing errors in laterality.

Elliot Landau1, David Hirschorn, Iakovos Koutras, Alexander Malek, Seleshie Demissie.   

Abstract

An error in laterality is the reporting of a finding that is present on the right side as on the left or vice versa. While different medical and surgical specialties have implemented protocols to help prevent such errors, very few studies have been published that describe these errors in radiology reports and ways to prevent them. We devised a system that allows the radiologist to view reports in a separate window, displayed in a simple font and with all terms of laterality highlighted in separate colors. This allows the radiologist to correlate all detected laterality terms of the report with the images open in PACS and correct them before the report is finalized. The system is monitored every time an error in laterality was detected. The system detected 32 errors in laterality over a 7-month period (rate of 0.0007 %), with CT containing the highest error detection rate of all modalities. Significantly, more errors were detected in male patients compared with female patients. In conclusion, our study demonstrated that with our system, laterality errors can be detected and corrected prior to finalizing reports.

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Mesh:

Year:  2015        PMID: 25273506      PMCID: PMC4359204          DOI: 10.1007/s10278-014-9738-4

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  4 in total

1.  Signing a colleague's radiology report.

Authors:  J J Smith; L Berlin
Journal:  AJR Am J Roentgenol       Date:  2001-01       Impact factor: 3.959

2.  Laterality errors in radiology reports generated with and without voice recognition software: frequency and clinical significance.

Authors:  Marianne T Luetmer; Christopher H Hunt; Robert J McDonald; Brian J Bartholmai; David F Kallmes
Journal:  J Am Coll Radiol       Date:  2013-07       Impact factor: 5.532

3.  Errare humanum est: frequency of laterality errors in radiology reports.

Authors:  Minal Jagtiani Sangwaiya; Shyla Saini; Michael A Blake; Keith J Dreyer; Mannudeep K Kalra
Journal:  AJR Am J Roentgenol       Date:  2009-05       Impact factor: 3.959

Review 4.  A new, evidence-based estimate of patient harms associated with hospital care.

Authors:  John T James
Journal:  J Patient Saf       Date:  2013-09       Impact factor: 2.844

  4 in total
  3 in total

1.  Improving Radiology Report Quality by Rapidly Notifying Radiologist of Report Errors.

Authors:  Matthew J Minn; Arash R Zandieh; Ross W Filice
Journal:  J Digit Imaging       Date:  2015-08       Impact factor: 4.056

2.  Beware (Surprisingly Common) Left-Right Flips in Your MRI Data: An Efficient and Robust Method to Check MRI Dataset Consistency Using AFNI.

Authors:  Daniel R Glen; Paul A Taylor; Bradley R Buchsbaum; Robert W Cox; Richard C Reynolds
Journal:  Front Neuroinform       Date:  2020-05-25       Impact factor: 4.081

3.  Process improvement for reducing side discrepancies in radiology reports.

Authors:  Subba Rao Digumarthy; Rachel Vining; Azadeh Tabari; Sireesha Nandimandalam; Alexi Otrakji; JoAnne O Shepard; Mannudeep K Kalra
Journal:  Acta Radiol Open       Date:  2018-08-20
  3 in total

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