Ultrasound and dual-energy x-ray absorptiometry report transcription error rates and strategies for reduction

Arielle Bauer*, Kimberly Lind, Hilary Van Noort, Mallory Myers, James Borgstede

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Purpose: Radiologists play an essential role in patient care by providing accurate and timely results. An error-free radiology report is an expectation of both patients and referring physicians. Software is currently available that can eliminate measurement and side types of errors while saving radiologists and sonographers time. The objectives of this study were to evaluate the potential reduction in report errors, estimate the potential time savings associated with implementation, and conduct a cost-benefit analysis of implementing two software programs. Methods: Data on the number of measurement errors and side errors in ultrasound and dual-energy x-ray absorptiometry reports were collected, and the time required for data entry that the software would reduce was measured by report type. Generalized estimating equations regression was used to estimate error rates and data entry times and corresponding 95% confidence intervals by report type for radiologists and sonographers. Current wages and report volumes were then applied to the time savings to estimate the annual wage savings. Projected volume increases were applied to the annual estimates to generate a 5-year savings estimate. Results: Overall, measurement errors occurred in 6% to 28% of ultrasound reports, depending on the report type. Side errors were rare. It was estimated that over 5 years, the software could save $693,777 in radiologist wages and $130,771 in sonographer wages, a total of $824,548 (range, $621,866-$1,039,714). Conclusions: The use of data integration software would both significantly reduce errors in ultrasound and dual-energy x-ray absorptiometry reports and save a considerable amount of time and money.

Original languageEnglish
Pages (from-to)1784-1790
Number of pages7
JournalJournal of the American College of Radiology
Volume15
Issue number12
DOIs
Publication statusPublished - 1 Dec 2018
Externally publishedYes

Keywords

  • data integration
  • dictation error
  • quality improvement
  • ultrasound

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