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Published on: September 20, 2018
Non-clinical errors using voice recognition dictation software for radiology reports: a retrospective audit
Chian A Chang1, Rodney Strahan, Damien Jolley
1Southern Health Department of Diagnostic Imaging, Clayton, VIC, Australia. chianaun@gmail.com
Voice recognition dictation systems have significant error rates, particularly in non-CR imaging reports. Awareness of these errors is crucial for balancing report quality and speed.
Area of Science:
- Medical Informatics
- Radiology Reporting
- Health Information Systems
Background:
- Voice recognition (VR) dictation systems offer potential benefits in medical reporting.
- However, the accuracy and potential for errors in these systems require thorough investigation.
Purpose of the Study:
- To determine the error rates associated with using a voice recognition dictation system in diagnostic imaging.
- To compare findings with existing literature and discuss the advantages and disadvantages of VR systems.
Main Methods:
- A GE RIS with Powerscribe 3.5 VR system was used at a Southern Health Department of Diagnostic Imaging.
- Fifty random finalized reports from 19 radiologists were analyzed for errors in six categories.
- Reports were categorized as computer radiography (CR) or non-CR (ultrasound, CT, MRI, etc.).
- Errors were classified by significance, with 'nonsense phrase' indicating potential impact on patient management.
Main Results:
- 11% of CR reports contained errors, with 2% including nonsense phrases.
- 36% of non-CR reports had errors, and 5% of these contained nonsense phrases.
- A total of 379 CR and 631 non-CR reports were examined.
Conclusions:
- Voice recognition dictation systems present both benefits and risks.
- Raising awareness of VR system error rates is essential for improving report quality and efficiency.
- Balancing the speed and quality of generated reports is a key challenge.
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