Abstract
In this article, we demonstrate the use of a software-based radiologist reporting tool for the implementation of American College of Radiology Thyroid Imaging, Reporting and Data System thyroid nodule risk-stratification. The technical details are described with emphasis on addressing the information security and patient privacy issues while allowing it to integrate with the electronic health record and radiology reporting dictation software. Its practical implementation is assessed in a quality improvement project in which guideline adherence and recommendation congruence were measured pre and post implementation. The descriptions of our solution and the release of the open-sourced codes may be helpful in future implementation of similar web-based calculators.
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Yes. All data presented will be shared upon request.
Code Availability
Complete source code is open source and hosted on a Github repository <https://github.com/UTSW-pacs/tiradsPub>.
References
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Tessler FN, Middleton WD, Grant EG, et al. ACR Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS Committee. J Am Coll Radiol. 2017;14(5):587-595.
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All authors participated in project conception and writing of manuscript. Bilal Quadri analyzed the data obtained from the radiology report data warehouse and perform the statistical analyses.
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Ng, Y.S., Quadri, B., Baker, C. et al. Use of Web-Based Calculator for the Implementation of ACR TI-RADS Risk-Stratification System. J Digit Imaging 35, 21–28 (2022). https://doi.org/10.1007/s10278-021-00542-2
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DOI: https://doi.org/10.1007/s10278-021-00542-2