Can an Automated Analysis of Radiology Reports Really Work?
Automated analysis of radiology reports is as accurate as manual auditing, but less expensive overall.
An automated analysis using natural language processing and machine learning algorithms can accurately define if reports are compliant with the use of standardized report templates and language, according to a study published in the Journal of the American College of Radiology.
Researchers from Texas sought to evaluate whether a software program using natural language processing and machine learning could accurately audit radiologist compliance with the use of standardized reports compared with manual audits.
The researchers reviewed radiology reports from a one-month period through their software program. Twenty-five reports for each of the 42 faculty members were also manually audited.
The results showed the manual audit provided a mean compliance rate of 91.2 percent compared with 92 percent for the automatic auditing program. The researchers concluded that the automatic audit was as accurate as manual audits, but with reduced labor costs.
Newsletter
Stay at the forefront of radiology with the Diagnostic Imaging newsletter, delivering the latest news, clinical insights, and imaging advancements for today’s radiologists.
The Reading Room Podcast: A Closer Look at Remote MRI Safety, Part 2
July 25th 2025In the second of a multi-part podcast episode, Emanuel Kanal, M.D. and Tobias Gilk, MRSO, MRSE, share their perspectives on remote MRI safety protocols for ensuring screening accuracy and adherence to conditional implant guidelines as well as a rapid and effective response to adverse events.
Where Things Stand with the Radiologist Shortage
June 18th 2025A new report conveys the cumulative impact of ongoing challenges with radiologist residency positions, reimbursement, post-COVID-19 attrition rates and the aging of the population upon the persistent shortage of radiologists in the United States.
How to Successfully Launch a CCTA Program at Your Hospital or Practice
June 11th 2025Emphasizing increasing recognition of the capability of coronary computed tomography angiography (CCTA) for the evaluation of acute and stable chest pain, this author defuses common misperceptions and reviews key considerations for implementation of a CCTA program.
Burnout in Radiology: Key Risk Factors and Promising Solutions
June 9th 2025Recognizing the daunting combination of increasing imaging volume and workforce shortages, these authors discuss key risk factors contributing to burnout and moral injury in radiology, and potential solutions to help preserve well-being among radiologists.
