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Interactive Software for Generation and Visualization of Structured Findings in Radiology Reports

¹ Department of Radiological Sciences, UCLA Medical Center, 924 Westwood Blvd., Ste. 420, Los Angeles, CA 90024-1721.
² Department of Computer Sciences, UCLA, 4732 Boelter Hall, Los Angeles, CA 90024-1721.
³ Present address: Department of Radiological Sciences, Childrens Hospital & Medical Center, 4800 Sand Point Way N.E., M.S. Ch69, Seattle, WA 98105-0371.

OBJECTIVE. Our objectives were to develop a user-friendly graphic interface for a module that integrates traditional radiology reporting, natural language processing, and editing capabilities; to facilitate the structuring of radiology reports as part of routine clinical practice; to use a commercial speech recognition module for online transcription; and to implement the module in a hardware-independent environment.

CONCLUSION. After implementation, the module was tested with 150 chest radiology reports by two radiologists and assessed for ease of use and accuracy. Overall, accuracy was close to 90% and user satisfaction was high. When radiology reports are structured as a part of routine clinical practice, it is possible to accomplish intelligent indexing and retrieval to facilitate teaching and research.

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