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Use of Web-Based Calculator for the Implementation of ACR TI-RADS Risk-Stratification System

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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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Availability of Data and Material

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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Authors and Affiliations

Authors

Contributions

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.

Corresponding author

Correspondence to Yee Seng Ng.

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The authors declare no competing interests.

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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

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